ChangeLog

OpenCV Change Logs

version:3.1

December, 2015

This is the first stabilization update in 3.x series. It shall be reminded that since OpenCV 3.0 we’ve changed the version enumeration scheme, so that 3.1 is the same sort of update to 3.0 as 2.4.1 was to 2.4.0.

_~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

• There have been many successful projects this year (student and mentor(s) are listed after the project name), and the results are available as a part of OpenCV 3.1 (partially in the main repository, but mostly opencv_contrib):
  • Omnidirectional Cameras Calibration and Stereo 3D Reconstruction – opencv_contrib/ccalib module (Baisheng Lai, Bo Li)
  • Structure From Motion – opencv_contrib/sfm module (Edgar Riba, Vincent Rabaud)
  • Improved Deformable Part-based Models – opencv_contrib/dpm module (Jiaolong Xu, Bence Magyar)
  • Real-time Multi-object Tracking using Kernelized Correlation Filter – opencv_contrib/tracking module (Laksono Kurnianggoro, Fernando J. Iglesias Garcia)
  • Improved and expanded Scene Text Detection – opencv_contrib/text module (Lluis Gomez, Vadim Pisarevsky)
  • Stereo correspondence improvements – opencv_contrib/stereo module (Mircea Paul Muresan, Sergei Nosov)
  • Structured-Light System Calibration – opencv_contrib/structured_light (Roberta Ravanelli, Delia Passalacqua, Stefano Fabri, Claudia Rapuano)
  • Chessboard+ArUco for camera calibration – opencv_contrib/aruco (Sergio Garrido, Prasanna, Gary Bradski)
  • Implementation of universal interface for deep neural network frameworks – opencv_contrib/dnn module (Vitaliy Lyudvichenko, Anatoly Baksheev)
  • Recent advances in edge-aware filtering, improved SGBM stereo algorithm – opencv/calib3d and opencv_contrib/ximgproc (Alexander Bokov, Maksim Shabunin)
  • Improved ICF detector, waldboost implementation – opencv_contrib/xobjdetect (Vlad Shakhuro, Alexander Bovyrin)
  • Multi-target TLD tracking – opencv_contrib/tracking module (Vladimir Tyan, Antonella Cascitelli)
  • 3D pose estimation using CNNs – opencv_contrib/cnn_3dobj (Yida Wang, Manuele Tamburrano, Stefano Fabri)

_~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

• Besides GSoC, we have multiple contributions from the community; below is the partial list of contributed functionality:
  • plot module – Nuno Moutinho
  • ni-black thresholding algorithm – ximgproc, Samyak Datta
  • Superpixel segmentation using Linear Spectral Clustering, SLIC superpixels – ximgproc, Balint Cristian
  • HDF (HDF5) support module – Balint Cristian
  • Depth to external RGB camera registration – rgbd, Pat O’Keefe
  • Computing normals for a point cloud – rgbd, Félix Martel-Denis
  • Fuzzy image processing module – Pavel Vlasanek
  • Rolling guidance filter – ximgproc, Zhou Chao
  • 3x faster SimpleFlow – optflow, Francisco Facioni
  • Code and docs for CVPR 15’ paper “DNNs are easily fooled” – Anh Nguyen
  • Efficient Graph-based image segmentation algorithm – ximgproc, Maximilien Cuony
  • Sparse-to-dense optical flow – optflow, Sergey Bokov
  • Unscented Kalman Filter (UKF) and Augmented UKF – tracking, Svetlana Filicheva
  • Fast Hough Transform – ximgproc, xolodilnik
  • Improved performance of haartraining – Teng Cao
  • Python samples made compatible with Python 3 – bastelflp

_~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

• The iOS framework (opencv2.framework) can now be configured to include both opencv and opencv_contrib functionality. Previously, there were 2 separate frameworks, but because of the include directory names (“opencv2/…”, regardless of whether some module is from opencv or from opencv_contrib), the produced opencv_contrib was unusable.

_~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

• more efficient camera support on Android 5+
• faster round() on ARM (it’s also applicable to iOS); big thanks to Manuele Tamburano and Stefano Fabri for this!

_~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

• OpenCV 3.1 supports fresh OSes from Microsoft and Apple, as well as the newest development tools (VS2015 and Xcode 7, respectively).

_~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

• IPPICV (a specially-for-opencv free-of-charge subset of IPP (https://software.intel.com/en-us/intel-ipp) that has been kindly provided by Intel Corporation) is now based on IPP 9.0.1, which should make OpenCV even faster on modern Intel chips.

_~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

• There are multiple new features in the OpenCL layer, resulted from our collaboration with Intel Corporation
  • Improved/extended interoperability with DirectX 9, 10, 11. That includes conversions between DX Surface and UMat, with number of copying operations reduced where possible. See opencv/samples/directx.
  • Interoperability with Video Acceleration API on Linux. This feature requires Intel Media Server Studio (https://software.intel.com/en-us/intel-media-server-studio/try-buy) and uses Intel’s cl_intel_va_api_media_sharing extension to OpenCL. See opencv/samples/va_intel
  • OpenCL<=>OpenGL interoperability via cl_khr_gl_sharing extension. It’s possible now to convert OpenGL textures and OpenGL buffers to/from UMat. See opencv/samples/opengl.
  • OpenCL<=>OpenCL interoperability. It means, people can now use OpenCL-accelerated OpenCV together with their custom OpenCL code and/or other OpenCL libraries. See opencv/samples/opencl for details.
  • Support for Camera2 API in Android 5+. See opencv/samples/android/tutorial-4-opencl, the tutorial that demonstrates 3 ways of processing data from camera:
    • purely CPU pipeline (3-4 fps on our test device)
    • OpenCV-based using UMat and transparent API (10-13 fps on the same device)
    • direct use of OpenCL (28-30fps). This is the fastest method, as you can see, because it uses OpenCL images, whereas more universal T-API has to use OpenCL buffers.

_~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

• HAL (Hardware Acceleration Layer), as a separate OpenCV module, opencv_hal, lived a short yet a bright life; we decided to split it by parts and move the parts into the respective regular OpenCV modules (core, imgproc etc.). It will help us to keep the dependency graph clean and sane.
• Added 2 examples (see opencv/samples/hal) on how to provide external accelerated versions of the HAL functions; note that an external implementation does not have to implement all of the HAL. The supplied README explains how to build the custom HAL accelerator, and how to build OpenCV with such a custom HAL replacement: https://github.com/Itseez/opencv/tree/master/samples/hal
• Added some more few functions to the HAL (arithmetic operations, split, merge); much more to come in OpenCV 3.2

_~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

• Over 420 pull requests to opencv and over 100 pull requests to opencv_contrib have been merged in since 3.0.0. Big thanks to all the people who submitted bug fixes, new functionality and other small and big improvements!
  Special thanks goes to all the GSoC 2015 students and mentors, who created a lot of great functionality!

Contributors

opencv

git shortlog --no-merges -ns 3.0.0..3.1.0
   146	Vladislav Vinogradov
   109	Alexander Alekhin
   103	Alexander Smorkalov
    73	Maksim Shabunin
    68	Ilya Lavrenov
    48	Roman Donchenko
    47	StevenPuttemans
    45	Pavel Rojtberg
    28	Andrey Pavlenko
    25	Seon-Wook Park
    20	Pavel Vlasov
    20	Suleyman TURKMEN
    18	Viet Dinh
    17	Alexey Ershov
    15	berak
    14	Vladimir Dudnik
    13	Artur Wieczorek
    12	Dan
    12	Lorena García
    10	Dikay900
    10	ippei ito
     9	Mansour Moufid
     8	E Braun
     8	Grigory Serebryakov
     7	Alexander Karsakov
     7	Alexander Nitsch
     7	Vadim Pisarevsky
     7	Vijay Pradeep
     6	LaurentBerger
     6	Marian Zajko
     6	Nguyen Nguyen
     6	Philipp Hasper
     6	flp
     6	sbokov
     5	Andreas Stührk
     5	PhilLab
     5	Rok Mandeljc
     5	Ruslan Baratov
     5	askourik
     5	songyuncen
     4	Abe Friesen
     4	Aman Verma
     4	Dan Moodie
     4	Dinar Ahmatnurov
     4	Dominik Kleiser
     4	Elad Joseph
     4	Gleb Gladilov
     4	Ishant Mrinal Haloi
     4	Mike Maraya
     4	Tom Stellard
     4	Vitaly Tuzov
     4	edgarriba
     4	grundman
     4	hoangviet1985
     4	themightyoarfish
     3	Adam Gibson
     3	Andrey Kamaev
     3	Camille
     3	Cédric Rousseau
     3	Elena Shipunova
     3	Gregory Morse
     3	Hajo Nils Krabbenhöft
     3	Igor Kuzmin
     3	Maxim Kostin
     3	Renato Florentino Garcia
     3	Richard Yoo
     3	Samuel Martin
     3	Seunghoon Park
     3	Teng Cao
     3	Yan Wang
     3	a-andre
     3	jiakai
     3	unknown
     2	Aleksandr Petrikov
     2	Alex Torres
     2	Alexander Duda
     2	Anatoly Baksheev
     2	Andrew Senin
     2	Anton V. Shokurov
     2	Ariel Bernal
     2	Balint Cristian
     2	Ben Hagen
     2	Bruno Goncalves
     2	Daniel Stonier
     2	Dmitry Melnichenko
     2	Enes Ateş
     2	Evgeny Talanin
     2	GregoryMorse
     2	Jan S. (Milania1)
     2	John Stowers
     2	Leonid Beynenson
     2	Luis Díaz Más
     2	Nils Plath
     2	Nisarg Thakkar
     2	Philippe FOUBERT
     2	Pierre Letessier
     2	Prof. Dr. Rudolf Haussmann
     2	Rodrigo Benenson
     2	Sergey Alexandrov
     2	Sergiu Dotenco
     2	Tsukasa Sugiura
     2	Vicente Olivert Riera
     2	Vincent Rabaud
     2	Vladimir Kolesnikov
     2	WilhelmHannemann
     2	howtobeahacker
     2	jayceelock
     2	jisli
     2	kalistratovag
     2	lujia
     2	paul.kim
     2	qubick
     2	robertxwu
     2	theodore
     1	Aaron Simmons
     1	Abhijit Kundu
     1	Adam
     1	Adam Geitgey
     1	Adi Shavit
     1	Adrian Clark
     1	AfterEight
     1	Alankar Kotwal
     1	Alexander Petrikov
     1	Alexander Stohr
     1	AlexanderStohr
     1	Amro
     1	Andreas Franek
     1	Antonella Cascitelli
     1	Anush Elangovan
     1	Ashley Stacey
     1	Ashod Nakashian
     1	Belev
     1	Benoit Seguin
     1	Bert
     1	Boris Daskalov
     1	Bovaz
     1	Brian Park
     1	Chris Kitching
     1	Chris Mayo
     1	Christian Richardt
     1	ComFreek
     1	Craig Reynolds
     1	Deanna Hood
     1	Dmitry Budnikov
     1	Dmitry Gribanov
     1	Drew Jetter
     1	Ehren Metcalfe
     1	Eric Sommerlade
     1	Evgeny Agafonchikov
     1	Firat Kalaycilar
     1	Florent
     1	GabrieleDalmazzone
     1	HelenWong
     1	Hernan Badino
     1	Ignas Daukšas
     1	Ishank gulati
     1	Jaime Fernandez
     1	Jan Starzynski
     1	Jay Bosamiya
     1	Jeremy Huddleston Sequoia
     1	Jie Yang
     1	Joe Howse
     1	Jonas Vautherin
     1	Josh Klontz
     1	Jüri Aedla
     1	Kauê de Moraes Vestena
     1	Kazuki Matsuda
     1	Keita Kita
     1	Kevin Hughes
     1	Lectem
     1	LeonidBeynenson
     1	Leszek Swirski
     1	Manfred Georg
     1	ManuelFreudenreich
     1	Martijn Liem
     1	Martin Ueding
     1	Mat Moore
     1	Matteo Piovanelli
     1	Maximilien Cuony
     1	Miguel Algaba
     1	Milania1
     1	Nghia Ho
     1	Nickolay Polyarniy
     1	Niklas Frisk
     1	Nikolay Polyarniy
     1	Oliver Lumby
     1	Pastafarianist
     1	Patrik Huber
     1	Philip Salvaggio
     1	Pierre Moulon
     1	Pierre-Emmanuel Viel
     1	Raaj
     1	RafaRuiz
     1	Rafael Sadowski
     1	René
     1	Robbert Klarenbeek
     1	Rohit Rawat
     1	S. Garrido
     1	Samyak Datta
     1	Sethur
     1	Simon Heinen
     1	Stefan Cornelius
     1	Stephen Mell
     1	Steven Puttemans
     1	Thomas Dunker
     1	Thomas Gabrowski
     1	Thomas Weisbach
     1	Tian Zhi
     1	Tim D. Smith
     1	Valentin Tsatskin
     1	ValeryTyumen
     1	Vipul Sharma
     1	Vitaliy Lyudvichenko
     1	Wangyida
     1	Wenju He
     1	Yang Fan
     1	Ying Xiong
     1	Youssef Kashef
     1	aletheios
     1	alexander barakin (aka sash-kan)
     1	art-programmer
     1	ausentso
     1	bhack
     1	boatx
     1	brossetti
     1	comdiv
     1	doltac
     1	emiswelt
     1	greensea
     1	jormansa
     1	manuele
     1	mattip
     1	mbarann
     1	micalan
     1	michaelveth
     1	niederb
     1	quentin
     1	rajithr
     1	scorneli
     1	spmallick
     1	teng88
     1	thebucc
     1	ttagu99
     1	ultrafro
     1	侯骥

opencv_contrib

git shortlog --no-merges -ns 3.0.0..3.1.0
   169	Vladimir
    48	Kurnianggoro
    29	Wangyida
    19	Muresan Mircea Paul
    18	lluis
    17	baisheng lai
    16	Maksim Shabunin
    14	Anh Nguyen
    13	Lluis Gomez-Bigorda
    10	[email protected]
     9	Seon-Wook Park
     9	Vlad Shakhuro
     9	nmoutinho
     8	Oded Green
     8	Patrick Snape
     8	Zhou Chao
     8	berak
     6	xolodilnik
     5	Baisheng Lai
     5	Marc-Stefan Cassola
     5	Pavel Rojtberg
     5	felix
     5	sbokov
     4	Alexander Alekhin
     4	Alexander Stohr
     4	StevenPuttemans
     4	edgarriba
     3	Balint Cristian
     3	Francisco Facioni
     3	Maximilien Cuony
     3	jiaolong_x220
     2	Aakash Chopra
     2	Jan S. (Milania1)
     2	RobertaRavanelli
     2	S. Garrido
     2	Samyak Datta
     2	Vadim Pisarevsky
     2	Yang Fan
     1	103yiran
     1	Alex Tomala
     1	Clint Pells
     1	Dikay900
     1	DirtyMaster
     1	Hyunjun Kim
     1	Jesus Briales
     1	Jesús Briales
     1	MMp131316
     1	Pat O'Keefe
     1	Philipp Hasper
     1	Rok Mandeljc
     1	Suleyman TURKMEN
     1	Sunglok Choi
     1	SvetlanaFilicheva
     1	Vitaliy Lyudvichenko
     1	Yan Wang
     1	baudenri
     1	comdiv
     1	grundman
     1	howtobeahacker
     1	lar-lab-unibo
     1	m4nh
     1	manuele
     1	previ
     1	tucna

version:3.0

June, 2015

These are changes since 3.0 rc1.

_~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

• Over 200 bugs reported at http://code.opencv.org/projects/opencv/issues have been resolved/closed. It includes many fixes in docs, build scripts, python wrappers, core, imgproc, photo, features2d, objdetect, contrib modules, as well as some performance improvements etc.

_~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

• Added pthreads-based backend for cv::parallel_for_. It means that all the parallel processing should be available out-of-the-box on any POSIX-compatible OS, including QNX and such. You are welcome to try it out.

_~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

• OpenCV Manager on Android has been completely rewritten in Java and now supports both OpenCV 2.4 and 3.0. After a bit more testing we will put it to Google Play.
• The other, a bit sad but inevitable news – we had to drop support for nativecamera on Android. It used some undocumented API and never worked stable.

_~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

• Many excellent contributions in opencv_contrib/xfeatures2d:
  • Christian Balint contributed long-awaited DAISY features
  • He also contributed improved version of rotation-invariant BRISK descriptor by Gil Levi
  • Gil Levi contributed very nice LATCH binary descriptor that outperforms all presently available in OpenCV binary descriptors (ORB, BRIEF, AKAZE etc.) and is comparable with heavier and slower SURF.

_~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

• Over 80 pull requests have been merged in since 3.0 rc. Big thanks to all the people who submitted bug fixes, new functionality and other small and big improvements! This time special thanks goes to Philip (Dikay900) who did (and still does) excellent job on porting various bug fixes and other small improvements from 2.4 to master/3.0. Thank you, Philip!

Contributors

opencv

$ git shortlog —no-merges -ns 3.0.0-rc1..origin/master

60  Vadim Pisarevsky

31  laurentBerger

17  Maksim Shabunin

10  cbalint13

7  Maxim Kostin

6  Alexander Smorkalov

6  Ilya Lavrenov

6  StevenPuttemans

6  Vladimir Dudnik

5  Andrey Pavlenko

5  GilLevi

3  Dikay900

3  Philipp Hasper

3  Ruslan Baratov

3  rajithr

3  sgjava

2  Andreas Stührk

2  Christian Richardt

2  Deanna Hood

2  Joe Minichino

2  Luis Díaz Más

2  Mansour Moufid

2  Marek Nogacki

2  Martin Ueding

2  Vladislav Vinogradov

2  Zhigang Gong

2  kalistratovag

1  AfterEight

1  Aleksandr Petrikov

1  Alexander Nitsch

1  Andrew Senin

1  Ashod Nakashian

1  Belev

1  Boris Daskalov

1  Camille

1  Craig Reynolds

1  David Hirvonen

1  Ehren Metcalfe

1  Evgeny Agafonchikov

1  Jüri Aedla

1  Leonid Beynenson

1  Martijn Liem

1  Marvin Smith

1  Michaël Sdika

1  Mike Maraya

1  Milania1

1  Niklas Frisk

1  Owen Healy

1  Patrik Huber

1  Piotr Dobrowolski

1  Roman Donchenko

1  S. Garrido

1  Samed Ozdemir

1  Samuel Martin

1  Samyak Datta

1  Thomas Gabrowski

1  Vicente Olivert Riera

1  Vincent Rabaud

1  Vladimir Kolesnikov

1  aletheios

1  berak

1  jormansa

1  lujia

1  msandler

1  yanlend

1  zenev

opencv_contrib

$ git shortlog —no-merges -ns 3.0.0-rc1..origin/master

19  cbalint13

11  GilLevi

6  Alexandre Benoit

4  Vadim Pisarevsky

2  laurentBerger

1  BISMOY MURASING

1  berak

1  root

version:3.0 rc

April, 2015

These are changes since 3.0 beta.

_~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

• Improved compatibility with OpenCV 2.4:
  • 2.4.11 now includes “opencv2/core.hpp” and other such headers in addition to standard “opencv2/core/core.hpp”.
  • smart pointers (Ptr<>) can now be created in both 2.4 and 3.0 style (new ClassName(params) vs makePtr(params))
  • trained and stored stat models from opencv_ml 2.4 can now be loaded and used by opencv_ml 3.0 as-is.
  • the 2.4=>3.0 transition guide has been sketched: http://docs.opencv.org/master/db/dfa/tutorial_transition_guide.html

_~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

• We did not put OpenCV 3 to Google Play yet, but we prepared installable OpenCV 3.0 Manager for Android, which can be installed and tried on your device. It can co-exist with OpenCV 2.4 Manager on the same device.

_~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

• There are multiple improvements and bug-fixes for WinRT port (as well as Windows 8.x port) of OpenCV by Microsoft guys (big thanks to Max Kostin!)
  • In particular, parallel_for is enabled on WinRT, so the code should run much faster on multi-core devices
  • Also, the WMF video capturing backend has been greatly improved.

_~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

• Standalone motion jpeg codec has been added to opencv_videoio. It does not need ffmpeg or any other 3rd-party lib. According to our measurements, it’s also much faster than ffmpeg, especially on ARM. For the decoder you should have JPEG support enabled (through built-in or external libjpeg). How to use it? To encode motion jpeg video, use .avi file extension and CV_FOURCC(‘M’, ‘J’, ‘P’, ‘G’). The decoder part has been verified on such streams (avi files with index, where each frame is encoded using baseline jpeg) and few random motion jpeg clips from net, but we have not tested it thoroughly.

_~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

• Preliminary version of OpenCV HAL, low-level acceleration API beneath OpenCV, has been introduced. Currently it includes just a few math functions, but will grow soon. It also includes so-called “universal intrinsics”, inspired by NEON=>SSE conversion header by Victoria Zhislina from Intel: https://software.intel.com/en-us/blogs/2012/12/12/from-arm-neon-to-intel-mmxsse-automatic-porting-solution-tips-and-tricks. The idea is that one can use a single SIMD code branch that will compile to either SSE or NEON instructions depending on the target platform. For example,
  

  
  
  // a, b and c are floating-point arrays
  
  for( int i = 0; i < n; i+=4 )
  
  v_store(c + i, v_load(a+i) + v_load(b+i));
  
  

  
  will be expanded to either
  

  
  
  for( int i = 0; i < n; i+=4 )
  
  _mm_storeu_ps(c + i, mm_add_ps(_mm_loadups(a+i), mm_loadu_ps(b+i));
  
  

  
  or
  

  
  
  for( int i = 0; i < n; i+=4 )
  
  vst1q_f32(c + i, vaddq_f32(vld1q_f32(a+i), vld1qf32(b+i));
  
  

  
  Using such intrinsics one can write accelerated code, debug it on desktop and then run it without any changes on ARM and get reasonable performance.

_~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

• Over 500 pull requests have been merged in since 3.0 beta. Big thanks to all the people who submitted bug fixes, new functionality and other small and big improvements! OpenCV becomes more and more a community-driven project and we are pleased to see that!

Contributors

opencv

$ git shortlog —no-merges -ns 3.0.0-beta..origin/master

95  Vladislav Vinogradov

88  Maksim Shabunin

74  Ilya Lavrenov

40  Erik Karlsson

33  Olexa Bilaniuk

28  Vadim Pisarevsky

24  Dmitry-Me

24  orestis

18  StevenPuttemans

17  Maxim Kostin

15  Yan Wang

14  Alexander Alekhin

11  Roman Donchenko

8  Ashod Nakashian

7  Joe Howse

7  Nisarg Thakkar

6  Andrey Kamaev

6  Dikay900

5  Alexander Nitsch

5  Evgeny Agafonchikov

5  TobyWanKenobi

5  theodore

5  Сергей Нужный

4  Andrew Senin

4  Artur Wieczorek

4  Hamid Bazargani

4  Pavel Rojtberg

4  berak

3  Alexander Smorkalov

3  Ben Hagen

3  Deanna Hood

3  Marvin Smith

3  Nicu Știurcă

3  Philipp Hasper

3  Simon Heinen

3  Takahiro Poly Horikawa

3  Ying Xiong

2  ASUS

2  Ahmatnurov Dinar

2  Alexander Duda

2  Ana Huaman Quispe

2  Eric Sommerlade

2  Naer Chang

2  Nils Plath

2  Sync-my-L2P

2  VBystricky

2  guopei

2  ippei ito

2  kalistratovag

2  karelknoest

2  sanuj

2  vbystricky

1  Adam Borowski

1  Adam Greig

1  Alexander Bohn / FI$H2k

1  Alexander Karsakov

1  Andrey Pavlenko

1  Ari Suwendi

1  Basheer Subei

1  Boaz Stolk

1  Chris Mayo

1  Chuanbo Weng

1  Claudio Caraffi

1  Daeyun Shin

1  Daniel Angelov

1  Daniel Sjölie

1  Dmitriy Anisimov

1  Florian Verdet

1  Guo Yejun

1  HelenWong

1  Jay Bosamiya

1  Jiri Drbalek

1  Jonathan Viney

1  Josep Bosch

1  Julien Nabet

1  Kai Wolf

1  Kevin Squire

1  LorenaGdL

1  Max Kostin

1  Michae Gharbi

1  Mike Izbicki

1  Nicolas Riebesel

1  Owen Healy

1  Pat O’Keefe

1  Pavel Vlasov

1  Prof. Dr. Rudolf Haussmann

1  Quentin Minster

1  RafaRuiz

1  Rok Mandeljc

1  S. Garrido

1  Samyak Datta

1  Sancho McCann

1  Scott Graybill

1  Shiquan Wang

1  Tim D. Smith

1  Timur Sattarov

1  Tzafrir

1  UQ Times

1  Yang Fan

1  burun

1  eltermann

1  exeltior

1  fhsm

1  greensea

1  hahne

1  mariadeanton

1  potpath

1  sergei

1  soyer

1  tcavallari

1  tt

1  ttagu99

1  vincentweb

opencv-contrib

$ git shortlog —no-merges -ns 3.0.0-beta..origin/master

13  Maksim Shabunin

5  cbalint13

3  Auron-X

3  Dikay900

3  Str3iber

2  Dmitriy Anisimov

2  Jay Bosamiya

2  Rok Mandeljc

2  Vadim Pisarevsky

2  berak

1  Alfonso Sanchez-Beato

1  Antonella Cascitelli

1  Beat Küng

1  Dinar Ahmatnurov

1  Nisarg Thakkar

1  Sh0

1  Shuda Li

1  StevenPuttemans

1  Vladimir

1  Yan Wang

1  jiaolong_cvc228

1  pmkalshetti

1  yifita

version:3.0 beta

November, 2014

These are changes since 3.0 alpha.

• Performance of OpenCL-accelerated code on Intel Iris Graphics and Intel Iris Pro Graphics has been improved by 10%-230%. That includes faster Canny edge detector, Laplacian, StereoBM, BruteForceMatcher, BackgroundSubtractorMOG2, StitchingWarpers etc. New OpenCL kernels were implemented for several functions: HoughLines, HoughLinesP, cvtColor (selected modes), Gemm, DFT. Thanks Alexander Alekhin, Alexander Karsakov, Elena Gvozdeva, Vladimir Bystritsky, Sergey Sivolgin and other guys who did that!

_~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

• About 40 commonly used image processing functions have been optimized using vector NEON instructions, so OpenCV 3.0 beta should run noticeably faster on modern ARM chips. Big thanks to Ilya Lavrenov for the amazing job!

_~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

• Java bindings have been substantially improved. We now have bindings for the updated features2d, background subtractor classes, a part of opencv_contrib etc. Thanks to Maksim Shabunin for the improvements!

_~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

• On x86 and x64 platforms OpenCV binaries include and use a subset of Intel® Integrated Performance Primitives (Intel® IPP) by default. OpenCV 3.0 beta includes a subset of Intel® IPP 8.2.1 with additional optimization for AVX2.

_~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

• Over 200 pull requests have been merged in since 3.0 alpha. Big thanks to all the people who submitted bug fixes, new functionality and other small and big improvements! OpenCV becomes more and more a community-driven project and we are pleased to see that!

Contributors

opencv

$ git shortlog —no-merges -ns 3.0.0-alpha..origin/master

129  edgarriba

71  Ilya Lavrenov

45  Alexander Karsakov

41  Adrien BAK

39  Rahul Kavi

37  Vadim Pisarevsky

27  Maksim Shabunin

20  Ernest Galbrun

15  Dmitriy Anisimov

14  Artur Wieczorek

13  Alexander Mordvintsev

12  Alexander Alekhin

9  vbystricky

9  Alexander Smorkalov

9  Rok Mandeljc

8  Elena Gvozdeva

8  Marc Rollins

7  Philipp Hasper

5  berak

5  ElenaGvozdeva

4  PhilLab

3  Juan Carlos Niebles

3  Alexander Duda

3  Alexander Shishkov

3  xantares

3  jaco

3  Brian Park

3  Chuanbo Weng

3  Igor Kuzmin

3  Michele Adduci

2  Andrey Pavlenko

2  Bence Magyar

2  Miroslav Benes

2  Shubhra Pandit

2  StevenPuttemans

2  abidrahmank

2  f-morozov

2  micha137

1  Jose-Luis Blanco-Claraco

1  Pat O’Keefe

1  Pavel Vlasov

1  John Kua

1  Huu Nguyen

1  Pierrick Koch

1  Poly Takahiro Horikawa

1  GregoryMorse

1  Felix Endres

1  Benoit Seguin

1  jeremy

1  Tomasz Posłuszny

1  U-KruchininD-ПК\KruchininD

1  VBystricky

1  Dmitry Gribanov

1  Yan Wang

1  Yusuke Suzuki

1  Anatoly Baksheev

1  bartaandras

1  Daniel Stonier

1  dkanafeev

1  Boaz Stolk

1  eltermann

1  Ling Wang@z77x

1  Manfred Georg

1  Leszek Swirski

1  Matthew Conway

1  Maximilien Cuony

1  Ariel Elkin

opencv-contrib

$ git shortlog —no-merges -ns e2fde8..origin/master

69  biagio montesano

55  Vlad Shakhuro

46  Alex Leontiev

36  Bellaktris

28  Vadim Pisarevsky

24  lluis

19  dmitriy.anisimov

18  vludv

11  Dmitriy Anisimov

10  Bence Magyar

10  Daniel Angelov

10  Alexander Shishkov

9  ahb

6  tpietruszka

5  Maksim Shabunin

5  Beat Küng

4  manuele

4  StevenPuttemans

4  Alexander Mordvintsev

4  vbystricky

3  Philipp Hasper

3  berak

3  Sancho McCann

2  Alexander Alekhin

2  Ilya Lavrenov

2  Alexandre Benoit

1  tolgabirdal

1  Shuda Li

1  Rok Mandeljc

1  VBystricky

1  Poly Takahiro Horikawa

1  Michele Adduci

1  Ernest Galbrun

version:3.0 alpha

August, 2014

This is brief version of the change log. There is also a separate page with detailed review of OpenCV_3.0

• OpenCV 3.0 brings more GPU accelerated functions and makes it in much more convenient form than OpenCV 2.4.
  • The new technology is nick-named “Transparent API” and, in brief, is extension of classical OpenCV functions, such as cv::resize(), to use OpenCL underneath. See more details about here: T-API.
  • Along with OpenCL code refactoring and Transparent API implementation OpenCL kernels were optimized for mainstream platforms, most notably for modern Intel chips (including Iris and Iris Pro) and AMD chips (such as Kaveri). More detailed results are to be provided later.

_~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

• On x86 and x64 platforms OpenCV binaries include and use a subset of Intel® Integrated Performance Primitives (Intel® IPP) by default. Intel Corporation granted OpenCV Foundation and all our users the right to use those functions free of charge for both non-commercial and commercial use.

_~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

• We now have a separate repository for community-contributed code http://github.com/itseez/opencv_contrib. It will help us to combine well-known maturity and stability of classical OpenCV functionality together with innovative algorithms and opens new opportunities for community to share computer vision code. For all the contributed code we provide the same QA infrastructure as for the main OpenCV repository. How to use it?
• Grab a copy of contribution repository http://github.com/itseez/opencv_contrib along with a copy of OpenCV 3.0 alpha or a fresh master snapshot.
• Pass

  OPENCV_EXTRA_MODULES_PATH=/modules

  to CMake.

• Documentation for the contributed modules is integrated into OpenCV doc tree: http://docs.opencv.org/master

_~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

• We completely revised our QA infrastructure (big thanks to Alexander Alekhin), which now covers not only the main repository, but also the contrib repository as well: http://pullrequest.opencv.org.

_~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

• OpenCV 3.0 and its contribution repository feature a lot of new functionality created by our GSoC students during the past 2 years, namely:
  • Text detection and recognition by Lluis Gomez and Stefano Fabri
  • HDR by Fedor Morozov
  • KAZE/A-KAZE by Eugene Khvedchenya, the algorithm author Pablo Alcantarilla and some improvements by F. Morozov.
  • Smart segmentation and edge-aware filters by Vitaly Lyudvichenko, Yuri Gitman, Alexander Shishkov and Alexander Mordvintsev
  • Car detection using Waldboost, ACF by Vlad Shakhuro and Nikita Manovich
  • TLD tracker and several common-use optimization algorithms by Alex Leontiev
  • Matlab bindings by Hilton Bristow, with support from Mathworks.
  • Greatly extended Python bindings, including Python 3 support, and several OpenCV+Python tutorials by Alexander Mordvintsev, Abid Rahman and others.
  • 3D Visualization using VTK by Ozan Tonkal and Anatoly Baksheev.
  • RGBD module by Vincent Rabaud
  • Line Segment Detector by Daniel Angelov
  • Many useful Computational Photography algorithms by Siddharth Kherada
  • Shape descriptors, matching and morphing shapes (shape module) by Juan Manuel Perez Rua and Ilya Lysenkov
  • Long-term tracking + saliency-based improvements (tracking module) by Antonella Cascitelli and Francesco Puja
  • Another good pose estimation algorithm and the tutorial on pose estimation by Edgar Riba and Alexander Shishkov
  • Line descriptors and matchers by Biagio Montesano and Manuele Tamburrano

_~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

• There are many other contributions, besides GSoC programs. Here is incomplete list (PLEASE, mail to admin at opencv.org if your name is missing here):
  • Myriads of improvements in various parts of the library by Steven Puttemans; thank you a lot, Steven!
  • Several NEON optimizations by Adrian Stratulat, Cody Rigney, Alexander Petrikov, Yury Gorbachev and others.
  • Fast foreach loop over cv::Mat by Kazuki Matsuda
  • Image alignment (ECC algorithm) by Georgios Evangelidis
  • GDAL image support by Marvin Smith
  • RGBD module by Vincent Rabaud
  • Fisheye camera model by Ilya Krylov
  • OSX framework build script by Eugene Khvedchenya
  • multiple FLANN improvements by Pierre-Emmanuel Viel
  • Improved WinRT support by Gregory Morse
  • Latent SVM Cascade by Evgeniy Kozhinov and NNSU team (awaiting integration)
  • Logistic regression by Rahul Kavi
  • Five-point pose estimation algorithm by Bo Li

Also, big thanks to all the Itseez guys who reviewed patches, watched bug reports and helped OpenCV in many other ways:
Alexander Shishkov (who also maintains opencv.org site), Andrey Pavlenko, Alexander Alekhin, Alexander Smorkalov, Roman Donchenko, Kirill Kornyakov, Andrey Kamaev, Sergey Sivolgin, Vladimir Bystritsky, Sergey Nosov, Nikita Manovich, Evgeniy Talanin, Elena Gvozdeva, Alexander Karsakov, Konstantin Matskevich, Ilya Lavrenov, Anna Kogan, Ivan Korolev, Dinar Ahmatnurov, Andrey Senin, Vlad Vinogradov, Alexey Spizhevoy, Anatoly Baksheev, Marina Kolpakova, Daniil Osokin, Leonid Beynenson, Dmitry Retinsky, Maria Dimashova, Ilya Lysenkov, Andrey Morozov, Victor Eruhimov, Alexander Bovyrin, Sergey Molinov, Gary Bradski, Vincent Rabaud, Harris Gasparakis, Stefano Fabri and many others.

_~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

• Although OpenCV 3 can be viewed as refined OpenCV 2 and is similar to the latter, this new version is not completely backward-compatible with OpenCV 2. Here are some major changes:
  • Some functionality has been moved to opencv_contrib repository or just disappeared. After revision, we may put a part of disappeared functionality back to opencv (or opencv_contrib).
  • Note that among the moved functionality is Face Recognition (now a separate module opencv_contrib/face); SIFT, SURF, FREAK, Star feature detectors and descriptors (now a part of opencv_contrib/xfeatures2d); text detector (now a part of module opencv_contrib/text); matlab bindings (opencv_contrib/matlab); motion templates & simple flow (opencv_contrib/optflow).
  • In OpenCV 3 we write

    #include “opencv2/core.hpp”

    instead of

    #include “opencv2/core/core.hpp”

    The old method should also work.
  • ML module has been completely revised (and at the moment the functionality is not 100% match for OpenCV 2.4.x), you will need to update your code.
  • Similarly to ML, many high-level algorithms have been refactored to follow “open interface-hidden implementation” concept and this refactoring work will continue after alpha.
  • To lower the footprint, highgui module has been split into 3 parts: imgcodecs, videoio and highgui itself (thanks to Vladimir). You may need to update your code.
  • After massive functionality migration to opencv_contrib and other major changes some Python bindings may be missing. We will fix it by OpenCV 3.0 beta.

version:2.4.9

April, 2014

• Several improvements in OpenCL optimizations (ocl::sum, ocl::countNonZero, ocl::minMax, bitwise operationss, Haar face detector, etc)

• Multiple fixes in Naitve Camera (NativeCameraView, cv::VideoCapture);
• Improved CUDA support for all CUDA-enabled SoCs.

• New VTK-based 3D visualization module viz stabilized and back-ported to 2.4 branch.
  The module provides a very convenient way to display and position clouds, meshes, cameras and trajectories, and simple widgets (cube, line, circle, etc.).
  Full demo video can be found at Itseez Youtube channel

• Numerous bugfixes in code and docs from community

• 156 pull requests have been merged since version#20

• 55 reported bugs have been closed since version#20

Contributors

$ git checkout 2.4.9
$ git shortlog --no-merges -n  -s 2.4 --not 2.4.8
36  Alexander Smorkalov
35  Ilya Lavrenov
33  Vladislav Vinogradov
23  Anatoly Baksheev
16  Andrey Pavlenko
9  Maks Naumov
8  Roman Donchenko
6  Pierre-Emmanuel Viel
6  yash
5  Daniil Osokin
4  Alexander Karsakov
4  Alexander Shishkov
4  Matti Picus
4  Nghia Ho
4  Stuart Cunningham
4  Vadim Pisarevsky
3  Alexander Alekhin
3  Kang Liu
3  Seunghoon Park
3  Vincent Rabaud
2  Firat Kalaycilar
2  Martin Jul
2  RJ2
2  berak
1  Alessandro Trebbi
1  Cody Rigney
1  ComFreek
1  Dave Hughes
1  David Rolland
1  Drew Jetter
1  Evgeniy
1  Ian Taylor
1  JinoBetti
1  Kazuki Matsuda
1  Kirill Kornyakov
1  Konstantin Matskevich
1  Linquize
1  Marijan Vukcevich
1  Martin Chodakowski
1  Robbert Klarenbeek
1  Vladimir Kolesnikov
1  Zhigang Gong
1  ahb
1  kuroda sho
1  kurodash

version:2.4.8

December, 2013

• User provided OpenCL context can be used by OpenCV ( ocl::initializeContext )
• A separate OpenCL command queue is created for every CPU thread (allows concurrent kernels execution)
• Some new OpenCL optimizations and bug-fixes

• NVidia CUDA support on CUDA capable SoCs;
• Android 4.4 support, including native camera;
• Java wrappers for GPU-detection functions from core module were added;
• New sample with CUDA on Android was added;
• OpenCV Manager and apps hanging were fixed on Samsung devices with Android 4.3 (#3368, #3372, #3403, #3414, #3436)

• Static linkage support for native C++ libraries;

• 139 pull requests have been merged since version:2.4.7!

• 32 reported bugs have been closed since version:2.4.7

Contributors

$ git checkout 2.4.8
$ git shortlog --no-merges -n  -s 2.4 --not 2.4.7
42  Alexander Smorkalov
35  Ilya Lavrenov
15  Roman Donchenko
15  Vladislav Vinogradov
14  Alexander Alekhin
11  krodyush
10  Andrey Pavlenko
9  Vladimir Bystricky
8  StevenPuttemans
7  Baichuan Su
7  Konstantin Matskevich
7  perping
6  Adrien BAK
6  Mimmmo Cosenza
6  Vincent Rabaud
4  Peter Andreas Entschev
4  Philippe FOUBERT
3  Anatoly Baksheev
3  berak
2  Alexander Karsakov
2  Bo Hu
2  GregoryMorse
2  Piotr Miecielica
2  moodoki
1  Alex Willisson
1  Alexander Shishkov
1  Alfonso (the fonz) de la Osa
1  Andrey Kamaev
1  Eric Sommerlade
1  Josep Bosch
1  Kiran Pradeep
1  Matthias Bady
1  Peng Xiao
1  Pierre-Emmanuel Viel
1  Séverin Lemaignan
1  Zhigang Gong
1  dpen2000
1  huangs
1  tim36272

version:2.4.7

November, 2013

• Now ‘ocl’ module can be built without installing OpenCL SDK (Khronos headers in OpenCV tree);
• Dynamic dependency on OpenCL runtime (allows run-time branching between OCL and non-OCL implementation);
• Changing default OpenCL device via OPENCV_OPENCL_DEVICE environment variable (without app re-build);
• Refactoring/extending/bug-fixing of existing OpenCL optimizations, updated documentation;
• New OpenCL optimizations of SVM, MOG/MOG2, KalmanFilter and more;

• New optimization for histograms, TV-L1 optical flow and resize;
• Updated multi gpu sample for stereo matching;
• Fixed BGR<→YUV color conversion and bitwize operations;
• Fixed several build issues;

• Android NDK-r9 (x86, x86_64) support;
• Android 4.3 support: hardware detector (Bugs #3124, #3265, #3270) and native camera (Bug #3185);
• MediaRecorder hint enabled for all Android devices with API level 14 and above;
• Fixed JavaCameraView slowdown (Bugs #3033, #3238);

• Fixed MS Certification test issues for all algorithmical modules and highgui, except OpenEXR and Media Foundation code for camera;
• Implemented XAML-based sample for video processing using OpenCV;
• Fixed issue in Media Foundation back-end for VideoCapture (#3189);

• 382 pull requests have been merged since version:2.4.6!

• 54 reported bugs have been fixed since version:2.4.6 (issue tracker query)

Contributors

$ git checkout 2.4.7
$ git shortlog --no-merges -n  -s 2.4 --not 2.4.6
111  Ilya Lavrenov
83  Alexander Alekhin
79  Roman Donchenko
41  Alexander Smorkalov
36  peng xiao
34  Jin Ma
32  Vladislav Vinogradov
27  StevenPuttemans
19  yao
17  Andrey Pavlenko
13  kdrobnyh
12  ilya-lavrenov
9  Alexander Shishkov
8  Vadim Pisarevsky
7  Greg Hale
7  Jan Starzynski
6  Bahram Dahi
5  Dmitry Retinskiy
5  Nghia Ho
5  konstantin
5  perping
3  Alexander Mordvintsev
3  Frederic Devernay
3  Kirill Kornyakov
3  Peng Xiao
3  Sebastian KrA¤mer
3  WonderRico
3  kamjagin
2  Alexander Pacha
2  Daniil Osokin
2  Gabe Schwartz
2  Hanusz Leszek
2  Nikita Manovich
2  Philippe FOUBERT
2  Zac Stewart
1  Alexander Karsakov
1  Andrew Senin
1  Baris Evrim Demiroz
1  Csaba Kertesz
1  George Andrew Brindeiro
1  Han Qiang
1  Harris Gasparakis
1  Heinz Hofbauer
1  Kevin
1  MarkBelmont
1  Michael Hanselmann
1  Miroslav Kobetski
1  Samuel Wejeus
1  Sebastian Kramer
1  abidrahmank
1  kocheganovvm
1  pengxiao

version:2.4.6

July, 2013

• Windows RT: added video file i/o and sample application using camera, enabled parallelization with TBB or MS Concurrency

• CUDA 5.5: added support for desktop and ARM

• added Qt 5 support

• Binary compatiblility with both OpenCL 1.1/1.2 platforms. Now the binaries compiled with any of AMD/Intel/Nvidia’s SDK can run on all other platforms.
• New functions ported, CLAHE, GoodFeaturesToTrack, TVL1 optical flow and more.
• Performance optimizations, HOG and more.
• More kernel binary cache options though setBinaryDiskCache interface.
• OpenCL binaries are now included into the superpack for Windows (for VS2010 and VS2012 only)

• switched all the remaining parallel loops from TBB-only tbb::parallel_for() to universal cv::parallel_for_() with many possible backends (MS Concurrency, Apple’s GDC, OpenMP, Intel TBB etc.)

• iOS build scripts (together with Android ones) moved to opencv/platforms directory
• fixed bug with incorrect saved video from camera through CvVideoCamera
• added `rotateVideo` flag to the CvVideoCamera class to control camera preview rotation on device rotation
• added functions to convert between UIImage and cv::Mat (just include opencv2/highgui/ios.h)

• numerous bug-fixes across all the library

• see also Android_Release_Notes

Contributors

~/Work/OpenCV/opencv> git checkout 2.4.6
~/Work/OpenCV/opencv> git shortlog --no-merges -n -s 2.4 --not 2.4.5
55  Peng Xiao
50  yao
41  Roman Donchenko
40  Alexander Smorkalov
21  Vladislav Vinogradov
10  Kirill Kornyakov
9  Andrey Pavlenko
8  Alexander Shishkov
8  Andrey Kamaev
5  alex77git
5  Dominik Rose
4  Ivan Korolev
3  Sergei Nosov
3  abidrahmank
3  poiuytrez
2  Leszek Swirski
1  Bo Li
1  Jan Machacek
1  ShengyinWu
1  Siva Prasad Varma
1  Gurpinder Singh Sandhu
1  Andrew Senin
1  Peter Minin
1  caorong
1  dave
1  ograycode
1  Dustin Spicuzza
1  Luis Díaz Más
1  Egbert van der Wal

version:2.4.5

April, 2013

• Experimental WinRT support (build for WindowsRT guide)

• the new video super-resolution module has been added that implements the following papers:

- S. Farsiu, D. Robinson, M. Elad, P. Milanfar. Fast and robust Super-Resolution. Proc 2003 IEEE Int Conf on Image Process, pp. 291–294, 2003.
- D. Mitzel, T. Pock, T. Schoenemann, D. Cremers. Video super resolution using duality based TV-L1 optical flow. DAGM, 2009.

• CLAHE (adaptive histogram equalization) algorithm has been implemented, both CPU and GPU-accelerated versions (in imgproc and gpu modules, respectively)

• there are further improvements and extensions in ocl module:
  - 2 stereo correspondence algorithms: stereobm (block matching) and stereobp (belief propagation) have been added
  - many bugs fixed, including some crashes on Intel HD4000

• The tutorial on displaying cv::Mat inside Visual Studio 2012 debugger has been contributed by Wolf Kienzle from Microsoft Research. See http://opencv.org/image-debugger-plug-in-for-visual-studio.html

• 78 pull requests have been merged. Big thanks to everybody who contributed!

• At least 25 bugs have been fixed since 2.4.4 (see http://code.opencv.org/projects/opencv/issues select closed issues with target version set to “2.4.5”).

version:2.4.4

March, 2013

• This is the biggest news in 2.4.4 – we’ve got full-featured OpenCV Java bindings on a desktop, not only Android! In fact you can use any JVM language, including functional Java or handy Groovy. Big thanks to Eric Christiansen for the contribution! Check the tutorial for details and code samples.

• Android application framework, samples, tutorials, OpenCV Manager are updated, see Android_Release_Notes for details.

• Numerous improvements in gpu module and the following new functionality & optimizations:
  • Optimizations for the NVIDIA Kepler architecture
  • NVIDIA CARMA platform support
  • HoughLinesP for line segments detection
  • Lab/Luv <→ RGB conversions

• Let us be more verbose here. The openCL-based hardware acceleration (ocl) module is now mature, and, with numerous bug fixes, it is largely bug-free. Correct operation has been verified on all tested platforms, including discrete GPUs (tested on NVIDIA and AMD boards), as well as integrated GPUs (AMD APUs as well as Intel Ivy Bridge iGPUs). On the host side, there has been exhaustive testing on 32/64 bit, Windows/Linux systems, making the ocl module a very serious and robust cross-platform GPU hardware acceleration solution. While we currently do not test on other devices that implement OpenCL (e.g. FPGA, ARM or other processors), it is expected that the ocl module will work well on such devices as well (provided the minimum requirements explained in the user guide are met).
  Here are specific highlights of the 2.4.4 release:
  • The ocl::Mat can now use “special” memory (e.g. pinned memory, host-local or device-local).
  • The ocl module can detect if the underlying hardware supports “integrated memory,” and if so use “device-local” memory by default for all operations.
  • New arithmetic operations for ocl::Mat, providing significant ease of use for simple numerical manipulations.
  • Interop with OpenCL enables very easy integration of OpenCV in existing OpenCL applications, and vice versa.
  • New algorithms include Hough circles, more color conversions (including YUV, YCrCb), and Hu Moments.
  • Numerous bug fixes, and optimizations, including in: blendLinear, square samples, erode/dilate, Canny, convolution fixes with AMD FFT library, mean shift filtering, Stereo BM.
  • Platform specific bug fixes: PyrLK, bruteForceMatcher, faceDetect now works also on Intel Ivy Bridge chips (as well as on AMD APUs/GPUs and NVIDIA GPUs); erode/dilate also works on NVIDIA GPUs (as well as AMD APUs/GPUs and Intel iGPUs).

• Many people contributed their code in the form of pull requests. Here are some of the most interesting contributions, that were included into 2.4 branch:
  • “>100”:http://code.opencv.org/projects/opencv/versions/11 reported problems have been resolved since 2.4.3
  • Oscar Deniz submitted smile detector and sample.
  • Alexander Smorkalov created a tutorial on cross-compilation of OpenCV for Linux on ARM platforms.

version:2.4.3

November, 2012

• Added universal parallel_for implementation using various backends: TBB (cross-platform: http://threadingbuildingblocks.org), OpenMP (cross-platform: http://en.wikipedia.org/wiki/OpenMP), Grand Central Dispatch (iOS/MacOSX: http://en.wikipedia.org/wiki/Grand_Central_Dispatch), Concurrency (Visual Studio 2010 or later: http://msdn.microsoft.com/en-us/library/dd492418.aspx), C= (http://www.hoopoesnest.com/cstripes/cstripes-details.htm). Many exiting parallel OpenCV algorithms have been converted to the new primitive. Therefore, you can enjoy performance improvements even without having to install TBB and ship it with OpenCV-based applications.

• Improved OpenCV Manager, new Java samples framework, better camera support on Android, see Android_Release_Notes for details.

• opencv2.framework is now iOS6- and iPhone5- (armv7s) compatible. Thanks to the new threading mechanism several important OpenCV algorithms (e.g. face detection, bilateral filter, etc.) now run faster on A5 or newer dual-core chips. We also fixed bug in the framework build script and now the framework is built with “-O3” optimization instead of “-O0” in OpenCV 2.4.2. Finally, our GSoC students, Eduard Feicho and Charu Hans, have written detailed tutorials on how to add OpenCV to your iOS app, please, check http://docs.opencv.org/doc/tutorials/ios/table_of_content_ios/table_of_content_ios.html.

• Another our GSoC student, Alexander Mordvintsev, added several new exciting Python samples, including ASIFT, hand-written digit recognition, motion debluring and even the use of Amazon PiCloud. Check https://github.com/Itseez/opencv/tree/master/samples/python2

• Yet another GSoC student Attila Novak has trained 2 new cascades, for silverware and profile faces. Check https://github.com/Itseez/opencv/tree/master/data/lbpcascades

• Another result from GSoC (that was a good year!): Victor Passichenko implemented non-local means denoising algorithm. It’s not realtime, but quite decent. Please, check http://docs.opencv.org/trunk/modules/photo/doc/denoising.html

• Yet another result from GSoC (that was a good year indeed!): Yuri Zemlyansky implemented “simple flow” optical flow algorithm; check https://github.com/Itseez/opencv/tree/master/samples/cpp/simpleflow_demo.cpp.

• Numerous improvements and new functionality in GPU module:
  - device layer opened for users; now users write CUDA device code using OpenCV.
  - LBP cascade support in cascade classifier
  - fast non local means image denoising
  - faster integral image calculation on Kepler
  - Hough circles, Hough lines and generalized Hough transform implementation
  - bilateral filter
  - generalized Flood Fill connected component labeling
  - background/foreground segmentation algorithms: Mixture of Gaussian, ViBe, GMG (A. Godbehere, A. Matsukawa, K. Goldberg) .
  - added confidence calculation into HOG

• Technology-preview version of ocl – OpenCL-accelerated computer vision algorithms, contributed by the Chinese Academy of Science. It includes:
  - arithmetical operations
  - filtering
  - geometrical image transformations (resize, remap etc.)
  - cascade classifier (i.e. face detector)
  - optical flow
  currently, it only runs on GPUs.

http://code.opencv.org/attachments/download/1147

• ~130 reported problems have been resolved since 2.4.2

• OpenCV has never been that social. We are at github now: http://github.com/itseez/opencv. Grab the latest versions from there, submit pull requests.

• Since 2.4.3rc we fixed several build problems (OpenCV-based applications on Xcode 4.5 & iOS6, OpenCV+TBB on Windows etc.) and closed a few issues, reported at code.opencv.org.

version:2.4.2

July, 2012

• Android package introduces a new service-based distribution model (see Android_Release_Notes for details).

• New keypoint descriptor FREAK has been contributed by EPFL group: Kirell Benzi, Raphael Ortiz, Alexandre Alahi and Pierre Vandergheynst. It’s claimed to be superior to ORB and SURF descriptors, yet it’s very fast (comparable to ORB). Please, see source://trunk/opencv/samples/cpp/freak_demo.cpp.

• Improved face recognizer and excellent tutorial on using it has been added by Philipp Wagner. Check the face recognition tutorial.

• opencv2.framework for iOS has been created. You can either download the binary from SourceForge or build it yourself using the simple guide: http://docs.opencv.org/doc/tutorials/introduction/ios_install/ios_install.html#ios-installation. Also, you may be interested to look at some OpenCV on iOS samples, created by our GSoC 2012 students Eduard and Charu: gsoc2012:source:/ios/trunk and read the slides of the tutorial: gsoc2012:source:/ios/trunk/doc/CVPR2012_OpenCV4IOS_Tutorial.pdf

• Another 50 bugs have been fixed since 2.4.1 release.

• It’s not about the code, but now we have the brand-new user site, http://opencv.org and the new stack overflow-like site with answers to the most popular questions http://answers.opencv.org

• GPU module:
  - reimplemented CUDA accelerated gpu::PyrLKOpticalFlow for dense and sparse cases. New implementation up 1.5 – 2 times faster then previous GPU optimized. Updated optical flow samples
  - implemented resize with area interpolation. CUDA optimized version for integer matrix types up 30 – 35 faster then not optimized OpenCV implementation and up 7 in worst case of 3 channel floating point matrix.

2.4.1

June, 2012

• The GPU module now supports CUDA 4.1 and CUDA 4.2 and can be compiled with CUDA 5.0 preview.

• Added API for storing OpenCV data structures in text string and reading them back:
  

  
  //==== storing data ====
  FileStorage fs(".xml", FileStorage::WRITE + FileStorage::MEMORY);
  fs << "date" << date_string << "mymatrix" << mymatrix;
  string buf = fs.releaseAndGetString();

//== reading it back ==
FileStorage fs(buf, FileStorage::READ + FileStorage::MEMORY);
fs[“date”] >> date_string;
fs[“mymatrix”] >> mymatrix;

• cv::calcOpticalFlowPyrLK now supports precomputed pyramids as input.

• Function signatures in documentation are made consistent with source code.

• Restored python wrappers for SURF and MSER.

• 45 more bugs in our bug tracker have been fixed

version:2.4.0

May, 2012

The major changes since 2.4 beta

• OpenCV now provides pretty complete build information via cv::getBuildInformation().

• reading/writing video via ffmpeg finally works and is now available on MacOS X too.
  note 1: we now demand reasonably fresh versions of ffmpeg/libav with libswscale included.
  note 2: if possible, try to avoid reading or writing more than one video simultaneously (even within a single thread) with ffmpeg 0.7.x or earlier, since they seem to use some global structures that are destroyed by the codecs executed synchronously. Either build and install a newer ffmpeg (0.10.x is recommended), or serialize your video i/o, or use parallel processes instead of threads.

• MOG2 background subtraction by Zoran Zivkovic was optimized using TBB.

• The reference manual has been updated to match OpenCV 2.4.0.

• More than 20 bugs have been closed in our bug tracker. (http://code.opencv.org/projects/opencv/roadmap).

• Asus Xtion is now properly supported for HighGUI. For now, you have to manually specify this device by using VideoCapture(CV_CAP_OPENNI_ASUS) instead of VideoCapture(CV_CAP_OPENNI).

2.4 beta

April, 2012

As usual, we created 2.4 branch in our repository (http://code.opencv.org/svn/opencv/branches/2.4), where we will further stabilize the code. You can check this branch for changes periodically, before as well as after 2.4 release.

Common changes

• At the age of 12, OpenCV got its own home! http://code.opencv.org is now the primary site for OpenCV development and http://opencv.org will be the official OpenCV user site.

• Some of the old functionality from the modules imgproc, video, calib3d, features2d, objdetect has been moved to legacy.

• CMake scripts have been substantially modified. Now it’s very easy to add new modules – just put the directory with include, src, doc and test sub-directories to the modules directory, create a very simple CMakeLists.txt and your module will be built as a part of OpenCV. Also, it’s possible to exclude certain modules from build (the CMake variables “BUILD_opencv_<modulename>” control that).

New functionality

• A new essential class cv::Algorithm has been introduced. It’s planned to be the fundamental part of all of the “non-trivial” OpenCV functionality. All Algorithm-based classes have the following features:
  • “virtual constructor”, i.e. an algorithm instance can be created by name;
  • there is a list of available algorithms;
  • one can retrieve and set algorithm parameters by name;
  • one can save algorithm parameters to XML/YAML file and then load them.

• A new ffmpeg wrapper has been created that features multi-threaded decoding, more robust video positioning etc. It’s used with ffmpeg starting with 0.7.x versions.

• features2d API has been cleaned up. There are no more numerous classes with duplicated functionality. The base classes FeatureDetector and DescriptorExtractor are now derivatives of cv::Algorithm. There is also the base Feature2D, using which you can detect keypoints and compute the descriptors in a single call. This is also more efficient.

• SIFT and SURF have been moved to a separate module named nonfree to indicate possible legal issues of using those algorithms in user applications. Also, SIFT performance has been substantially improved (by factor of 3-4x).

• The current state-of-art textureless detection algorithm, Line-Mod by S. Hinterstoisser, has been contributed by Patrick Mihelich. See objdetect/objdetect.hpp, class Detector.

• 3 face recognition algorithms have been contributed by Philipp Wagner. Please, check opencv/contrib/contrib.hpp, FaceRecognizer class, and opencv/samples/cpp/facerec_demo.cpp.

• 2 algorithms for solving PnP problem have been added. Please, check flags parameter in solvePnP and solvePnPRansac functions.

• Enhanced LogPolar implementation (that uses Blind-Spot model) has been contributed by Fabio Solari and Manuela Chessa, see opencv/contrib/contrib.hpp, LogPolar_* classes and opencv/samples/cpp/logpolar_bsm.cpp sample.

• A stub module photo has been created to support a quickly growing “computational photography” area. Currently, it only contains inpainting algorithm, moved from imgproc, but it’s planned to add much more functionality.

• Another module videostab (beta version) has been added that solves a specific yet very important task of video stabilization. The module is under active development. Please, check opencv/samples/cpp/videostab.cpp sample.

• findContours can now find contours on a 32-bit integer image of labels (not only on a black-and-white 8-bit image). This is a step towards more convenient connected component analysis.

• Canny edge detector can now be run on color images, which results in better edge maps

• Python bindings can now be used within python threads, so one can write multi-threaded computer vision applications in Python.

OpenCV on GPU

• Different Optical Flow algorithms have been added:
  • Brox (contributed by NVidia)
  • PyrLK – both Dense and Sparse variations
  • Farneback

• New feature detectors and descriptors:
  • GoodFeaturesToTrack
  • FAST/ORB which is patent free replacement of SURF.

• Overall GPU module enhancements:
  • The module now requires CUDA 4.1 or later;
  • Improved similarity of results between CPU and GPU;
  • Added border extrapolation support for many functions;
  • Improved performance.

• pyrUp/pyrDown implementations.

• Matrix multiplication on GPU (wrapper for the CUBLAS library). This is optional, user need to compile OpenCV with CUBLAS support.

• OpenGL back-end has been implemented for highgui module, that allows to display GpuMat directly without downloading them to CPU.

OpenCV4Android

See the Android_Release_Notes.

Performance

• A few OpenCV functions, like color conversion, morphology, data type conversions, brute-force feature matcher have been optimized using TBB and/or SSE intrinisics.

• Along with regression tests, now many OpenCV functions have got performance tests. Now for most modules one can build opencv_perf_<modulename> executables that run various functions from the particular module and produce a XML file. Note that if you want to run those tests, as well as the normal regression tests, you will need to get (a rather big) http://code.opencv.org/svn/opencv/trunk/opencv_extra directory and set environment variable OPENCV_TEST_DATA_PATH to “<your_copy_of_opencv_extra>/testdata”.

Bug fixes

• In this version we fixed literally hundreds of bugs. Please, check http://code.opencv.org/projects/opencv/versions/1 for a list of fixed issues.

Known issues

• When OpenCV is built statically, dynamically created classes (via Algorithm::create) can fail because linker excludes the “unused” object files. To avoid this problem, create classes explicitly, e.g

Ptr<DescriptorExtractor> d = new BriefDescriptorExtractor;

2.3.1

August, 2011

OpenCV4Android

OpenCV Java bindings for Android platform are released in ‘’Beta 2’’ quality. A lot of work is done to make them more stable and easier to use. Currently Java API has about 700 different OpenCV functions and covers 8 OpenCV modules including full port of features2d.

Other New Functionality and Features

• Retina module has been contributed by Alexandre Benoit (in opencv_contrib module). See the new retina sample and https://sites.google.com/site/benoitalexandrevision/.

• Support for Ximea cameras (http://www.ximea.com/) in highgui has been contributed by Ximea developers.

• Planar subdivisions construction (Delaunay triangulation and Voronoi tessellation) have been ported to C++. See the new delaunay2.cpp sample.

• Several new Python samples have been added.

• FLANN in OpenCV has been upgraded to v1.6. Also, added Python bindings for FLANN.

• We now support the latest FFMPEG (0.8.x) that features multi-threaded decoding. Reading videos in OpenCV has never been that fast.

Documentation

• Quite a few new tutorials have been added. Check http://docs.opencv.org/trunk for the up-to-date documentation.

Optimization

• Performance of the sparse Lucas-Kanade optical flow has been greatly improved. On 4-core machine it is now 9x faster than the previous version.

Bug Fixes

• Over 100 issues have been resolved since 2.3 release. Most of the issues (closed and still open) are listed at http://code.opencv.org/projects/opencv/issues?set_filter=1.

Known issues

• TBB debug binaries are missed in the Windows installer. Here is a workaround:
  • Download tbb30_20110427oss_win.zip from the TBB website.
  • Unzip and copy the tbb*_debug.dll files from bin// to the corresponding folder in the installed OpenCV location in /build/common/tbb//

2.3

July, 2011

Modifications and Improvements since 2.3rc

• A few more bugs reported in the OpenCV bug tracker have been fixed.

• Documentation has been improved a lot! The new reference manual combines information for C++ and C interfaces, the OpenCV 1.x-style Python bindings and the new C++-style Python bindings. It has also been thoroughly checked for grammar, style and integrity.

Besides, there are new and updated tutorials.

The up-to-date online documentation is available at http://docs.opencv.org.

• The new binary package includes various pre-compiled libs:
  https://sourceforge.net/projects/opencvlibrary/files/opencv-win/2.3/

Unfortunately, it’s not a full-scale installation package, but simply a self-extracting archive with a readme.txt supplied.
The installation package is probably to come in the next version.

• VS2005 should build OpenCV 2.3 out of the box, including DirectShow support.

• ffmpeg bindings are now available for all Windows users via compiler- and configuration- and
  version-independent opencv_ffmpeg.dll (for 32-bit compilers) and opencv_ffmpeg_64.dll (for 64-bit compilers).

2.3 beta

June, 2011

General Modifications and Improvements

• Buildbot-based Continuous Integration system is now continuously testing OpenCV snapshots. The current status is available at http://buildbot.itseez.com

• OpenCV switched to Google Test (http://code.google.com/p/googletest/) engine for regression and correctness tests. Each module now has “test” sub-directory which includes the corresponding tests.

New Functionality, Features

• Many functions and methods now take InputArray/OutputArray instead of cv::Mat references. It retains compatibility with the existing code and yet brings more natural support for STL vectors and potentially other “foreign” data structures to OpenCV. See http://docs.opencv.org/modules/core/doc/intro.html#inputarray-and-outputarray for details.

• core
  • LAPACK is not used by OpenCV anymore. The change decreased the library footprint and the compile time. We now use our own implementation of Jacobi SVD. SVD performance on small matrices (2×2 to 10×10) has been considerably improved; on larger matrices it is still pretty good. SVD accuracy on poorly-conditioned matrices has also been polished.
  • Arithmetic operations now support mixed-type operands and arbitrary number of channels.

• features2d
  • Completely new patent-free BRIEF and ORB feature descriptors have been added.
  • Very fast LSH matcher for BRIEF and ORB descriptors will be added in 2.3.1.

• calib3d
  • A new calibration pattern, circles grid, has been added. See findCirclesGrid() function and the updated calibration.cpp sample. With the new pattern calibration accuracy is usually much higher.

• highgui
  • [Windows] videoInput is now a part of highgui. If there are any problems with compiling highgui, set WITH_VIDEOINPUT=OFF in CMake.

• stitching
  • opencv_stitching is a beta version of new application that makes a panorama out of a set of photos taken from the same point.

• python
  • Now there are 2 extension modules: cv and cv2. cv2 includes wrappers for OpenCV 2.x functionality. opencv/samples/python2 contain a few samples demonstrating cv2 in use.

• contrib
  • A new experimental variational stereo correspondence algorithm StereoVar has been added.

• gpu
  • the module now requires CUDA 4.0 or later; Many improvements and bug fixes have been made.

Android port

• With support from NVIDIA, OpenCV Android port (which is actually not a separate branch of OpenCV, it’s the same code tree with additional build scripts) has been greatly improved, a few demos developed. Camera support has been added as well.
  See Android_Release_Notes#231-beta1 for details.

Documentation

• OpenCV documentation is now written in ReStructured Text and built using Sphinx (http://sphinx.pocoo.org).

• It’s not a single reference manual now, it’s 4 reference manuals (OpenCV 2.x C++ API, OpenCV 2.x Python API, OpenCV 1.x C API, OpenCV 1.x Python API), the emerging user guide and a set of tutorials for beginners.

• Style and grammar of the main reference manual (OpenCV 2.x C++ API) have been thoroughly checked and fixed.

• Online up-to-date version of the manual is available at http://docs.opencv.org

Samples

• Several samples using the new Python bindings (cv2 module) have been added: http://code.opencv.org/svn/opencv/branches/2.3/opencv/samples/python2

Optimization

• Several ML algorithms have been threaded using TBB.

Bug Fixes

• Over 250 issues have been resolved. Most of the issues (closed and still open) are listed at http://code.opencv.org/projects/opencv/issues?set_filter=1.

Known Problems/Limitations

• Documentation (especially on the new Python bindings) is still being updated. Watch http://docs.opencv.org for updates.

• Android port does not provide Java interface for OpenCV. It is going to be added to 2.3 branch in a few weeks.

2.2

December, 2010

General Modifications and Improvements

• The library has been reorganized. Instead of cxcore, cv, cvaux, highgui and ml we now have several smaller modules:
  • opencv_core – core functionality (basic structures, arithmetics and linear algebra, dft, XML and YAML I/O …).
  • opencv_imgproc – image processing (filter, GaussianBlur, erode, dilate, resize, remap, cvtColor, calcHist etc.)
  • opencv_highgui – GUI and image & video I/O
  • opencv_ml – statistical machine learning models (SVM, Decision Trees, Boosting etc.)
  • opencv_features2d – 2D feature detectors and descriptors (SURF, FAST etc., including the new feature detectors-descriptor-matcher framework)
  • opencv_video – motion analysis and object tracking (optical flow, motion templates, background subtraction)
  • opencv_objdetect – object detection in images (Haar & LBP face detectors, HOG people detector etc.)
  • opencv_calib3d – camera calibration, stereo correspondence and elements of 3D data processing
  • opencv_flann – the Fast Library for Approximate Nearest Neighbors (FLANN 1.5) and the OpenCV wrappers
  • opencv_contrib – contributed code that is not mature enough
  • opencv_legacy – obsolete code, preserved for backward compatibility
  • opencv_gpu – acceleration of some OpenCV functionality using CUDA (relatively unstable, yet very actively developed part of OpenCV)

If you detected OpenCV and configured your make scripts using CMake or pkg-config tool, your code will likely build fine without any changes. Otherwise, you will need to modify linker parameters (change the library names) and update the include paths.

It is still possible to use #include <cv.h> etc. but the recommended notation is:

#include "opencv2/imgproc/imgproc.hpp"
...

Please, check the new C and C++ samples (http://code.opencv.org/svn/opencv/trunk/opencv/samples), which now include the new-style headers.

• The new-style wrappers now cover much more of OpenCV 2.x API. The documentation and samples are to be added later. You will need numpy in order to use the extra functionality.
  SWIG-based Python wrappers are not included anymore.

• OpenCV can now be built for Android (GSoC 2010 project), thanks to Ethan Rublee; and there are some samples too. Please, check OpenCV4Android

• The completely new opencv_gpu acceleration module has been created with support by NVIDIA. See below for details.

New Functionality, Features

• core
  • The new cv::Matx<T, m, n> type for fixed-type fixed-size matrices has been added. Vec<T, n> is now derived from Matx<T, n, 1>. The class can be used for very small matrices, where cv::Mat use implies too much overhead. The operators to convert Matx to Mat and backwards are available.
  • cv::Mat and cv::MatND are made the same type: typedef cv::Mat cv::MatND.
    Note that many functions do not check the matrix dimensionality yet, so be careful when processing 3-, 4- … dimensional matrices using OpenCV.
  • Experimental support for Eigen 2.x/3.x is added (WITH_EIGEN2 option in CMake). Again, there are convertors from Eigen2 matrices to cv::Mat and backwards. See modules/core/include/opencv2/core/eigen.hpp.
  • cv::Mat can now be print with “<<” operator. See opencv/samples/cpp/cout_mat.cpp.
  • cv::exp and cv::log are now much faster thanks to SSE2 optimization.

• imgproc
  • color conversion functions have been rewritten;
  • RGB→Lab & RGB→Luv performance has been noticeably improved. Now the functions assume sRGB input color space (e.g. gamma=2.2). If you want the original linear RGB→L** conversion (i.e. with gamma=1), use CV_LBGR2LAB etc.
  • VNG algorithm for Bayer→RGB conversion has been added. It’s much slower than the simple interpolation algorithm, but returns significantly more detailed images
  • The new flavors of RGB→HSV/HLS conversion functions have been added for 8-bit images. They use the whole 0..255 range for the H channel instead of 0..179. The conversion codes are CV_RGB2HSV_FULL etc.
  • special variant of initUndistortRectifyMap for wide-angle cameras has been added: initWideAngleProjMap()

• features2d
  • the unified framework for keypoint extraction, computing the descriptors and matching them has been introduced. The previously available and some new detectors and descriptors, like SURF, FAST, StarDetector etc. have been wrapped to be used through the framework. The key advantage of the new framework (besides the uniform API for different detectors and descriptors) is that it also provides high-level tools for image matching and textured object detection. Please, see documentation http://docs.opencv.org/modules/features2d/doc/common_interfaces_of_feature_detectors.html
    and the C++ samples:
    • descriptor_extractor_matcher.cpp – finding object in a scene using keypoints and their descriptors.
    • generic_descriptor_matcher.cpp – variation of the above sample where the descriptors do not have to be computed explicitly.
    • bagofwords_classification.cpp – example of extending the framework and using it to process data from the VOC databases: http://pascallin.ecs.soton.ac.uk/challenges/VOC/
  • the newest super-fast keypoint descriptor BRIEF by Michael Calonder has been integrated by Ethan Rublee. See the sample opencv/samples/cpp/video_homography.cpp
  • SURF keypoint detector has been parallelized using TBB (the patch is by imahon and yvo2m)

• objdetect
  • LatentSVM object detector, implementing P. Felzenszwalb algorithm, has been contributed by Nizhniy Novgorod State University (NNSU) team. See opencv/samples/c/latentsvmdetect.cpp

• calib3d
  • The new rational distortion model:

x' = x * (1 + k~1~ * r^2^ + k~2~ * r^4^ + k~3~ * r^6^)/(1 + k~4~ * r^2^ + k~5~ * r^4^ + k~6~ * r^6^) + <tangential_distortion for @x@>,
y' = y * (1 + k~1~ * r^2^ + k~2~ * r^4^ + k~3~ * r^6^)/(1 + k~4~ * r^2^ + k~5~ * r^4^ + k~6~ * r^6^) + <tangential_distortion for @y@>

has been introduced. It is useful for calibration of cameras with wide-angle lenses.
Because of the increased number of parameters to optimize you need to supply more data to robustly estimate all of them. Or, simply initialize the distortion vectors with zeros and pass CV_CALIB_RATIONAL_MODEL to enable the new model CV_CALIB_FIX_K3 + CV_CALIB_FIX_K4 + CV_CALIB_FIX_K5 or other such combinations to selectively enable or disable certain coefficients.

• rectification of trinocular camera setup, where all 3 heads are on the same line, is added. see samples/cpp/3calibration.cpp

• ml
  • Gradient boosting trees model has been contributed by NNSU team.

• highgui
  • Experimental Qt backend for OpenCV has been added as a result of GSoC 2010 project, completed by Yannick Verdie. The backend has a few extra features, not present in the other backends, like text rendering using TTF fonts, separate “control panel” with sliders, push-buttons, checkboxes and radio buttons, interactive zooming, panning of the images displayed in highgui windows, “save as” etc. Please, check the youtube videos where Yannick demonstrates the new features: http://www.youtube.com/user/MrFrenchCookie#p/u
  • The new API is described here: http://docs.opencv.org/modules/highgui/doc/qt_new_functions.html To make use of the new API, you need to have Qt SDK (or libqt4 with development packages) installed on your machine, and build OpenCV with Qt support (pass -DWITH_QT=ON to CMake; watch the output, make sure Qt is used as GUI backend)
  • 16-bit and LZW-compressed TIFFs are now supported.
  • You can now set the mode for IEEE1394 cameras on Linux.

• contrib
  • Chamfer matching algorithm has been contributed by Marius Muja, Antonella Cascitelli, Marco Di Stefano and Stefano Fabri. See samples/cpp/chamfer.cpp

• gpu
  This is completely new part of OpenCV, created with the support by NVIDIA.
  Note that the package is at alpha, probably early beta state, so use it with care and check OpenCV SVN for updates.

In order to use it, you need to have the latest NVidia CUDA SDK installed, and build OpenCV with CUDA support (-DWITH_CUDA=ON CMake flag).

All the functionality is put to cv::gpu namespace. The full list of functions and classes can be found at
opencv/modules/gpu/include/opencv2/gpu/gpu.hpp, and here are some major components of the API:

• image arithmetics, filtering operations, morphology, geometrical transformations, histograms
• 3 stereo correspondence algorithms: Block Matching, Belief Propagation and Constant-Space Belief Propagation.
• HOG-based object detector. It runs more than order of magnitude faster than the CPU version!
  See opencv/samples/gpu

• python bindings
  A lot more of OpenCV 2.x functionality is now covered by Python bindings.

These new wrappers require numpy to be installed
(see http://opencv.willowgarage.com/wiki/InstallGuide for details).

Likewise the C++ API, in the new Python bindings you do not need to allocate output arrays.
They will be automatically created by the functions.

Here is a micro example:

import cv

a=cv.imread("lena.jpg",0)
b=cv.canny(a, 50, 100, apertureSize=3)
cv.imshow("test",b)
cv.waitKey(0)

In the sample a and b are normal numpy arrays, so the whole power of numpy and scipy can now be combined with OpenCV functionality.

Documentation, Samples

• Links to wiki pages have been added to each function description, see http://opencv.willowgarage.com

• All the samples have been documented with default output ‘’(0 or incomplete number of parameters)’’ set to print out “howto” run instructions; most samples have been converted to C++ to use the new OpenCV API.

Bug Fixes

• Over 300 issues have been resolved. Most of the issues (closed and still open) are listed at http://code.opencv.org/projects/opencv/issues?set_filter=1

• The old bug tracker at https://sourceforge.net/projects/opencvlibrary/ is now closed for updates. As soon as all the still relevant bug reports will be moved to code.ros.org, the old bug tracker will be completely deleted. Please, use the new tracker from now on.

Known Problems/Limitations

• Installation package for Windows is still 32-bit only and does not include TBB support. You can build parallel or 64-bit version of OpenCV from the source code.

Previous versions

ChangeLog_v1.0_-_v2.1