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"The Pinax-Model for Accurate and Efficient Refraction Correction of Underwater Cameras in Flat-Pane Housings" code release

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Pinax calibration for underwater SLAM

"The Pinax-Model for Accurate and Efficient Refraction Correction of Underwater Cameras in Flat-Pane Housings" code release

In this version, the PinAx camera model is used to model underwater refraction for underwater SLAM using ORB_SLAM. This version has been tested with Ubuntu 20.04 with OpenCV 4 and Eigen 3 running with UTM VM for mac M1.

Build in ROS

ROS installation

sudo sh -c 'echo "deb http://packages.ros.org/ros/ubuntu $(lsb_release -sc) main" > /etc/apt/sources.list.d/ros-latest.list'

sudo apt install curl # if you haven't already installed curl

curl -s https://raw.githubusercontent.com/ros/rosdistro/master/ros.asc | sudo apt-key add -

sudo apt update

sudo apt install ros-noetic-desktop-full

sudo apt install python3-catkin-tools python3-osrf-pycommon

source /opt/ros/noetic/setup.bash

make catkin folder in home directory:

mkdir catkin_ws
cd catkin_ws
mkdir build && mkdir src
catkin build

copy the repo to the catkin folder:

cd ~/catkin_ws/src
git clone https://github.com/fickrie67/pinax-camera-model.git

then build the repo:

catkin build

Running in ROS

run ros master and source the ros setup

source ~/catkin_ws/devel/setup.bash
roscore

play recorded video

rosbag play testBag.bag --loop

then calculate correction map for the video. this will produce correctionMap.yaml file in src folder

cd ~/catkin_ws/src/pinax-camera-model/ROS

rosrun defraction_map_finder defraction_map_finder

adjust the video with correction map file

roslaunch jir_image_remapper image_remapper.launch
.
.
roslaunch jir_image_remapper gopro_remapper.launch

View the adjusted image

rosrun image_view image_view image:=<topics>

rosrun image_view image_view image:=/rectified/left/image

or

rqt_image_view

record video

rosrun image_view video_recorder _fps:=25 _filename:="/home/fickrie/test1.MP4" image:=/rectified/image

ROS calibration:

source /opt/ros/noetic/setup.bash
rosrun camera_calibration cameracalibrator.py --size 8x6 --square 0.024 image:=/camera/image_raw

rosrun camera_calibration cameracalibrator.py --size 8x6 --square 0.024 image:=/rectified/left/image

use the corrected video for UW-SLAM purposes. the corrected video can be seen in the /rectified/image topics.

Pinax-camera-model

When using this code in scientific work please cite:

Tomasz Łuczyński, Max Pfingsthorn, Andreas Birk The Pinax-model for accurate and efficient refraction correction of underwater cameras in flat-pane housings Ocean Engineering, Volume 133, 2017, Pages 9-22, ISSN 0029-8018, http://dx.doi.org/10.1016/j.oceaneng.2017.01.029. (http://www.sciencedirect.com/science/article/pii/S0029801817300434)

Abstract: The calibration and refraction correction process for underwater cameras with flat-pane interfaces is presented that is very easy and convenient to use in real world applications while yielding very accurate results. The correction is derived from an analysis of the axial camera model for underwater cameras, which is among others computationally hard to tackle. It is shown how realistic constraints on the distance of the camera to the window can be exploited, which leads to an approach dubbed Pinax Model as it combines aspects of a virtual pinhole model with the projection function from the axial camera model. It allows the pre-computation of a lookup-table for very fast refraction correction of the flat-pane with high accuracy. The model takes the refraction indices of water into account, especially with respect to salinity, and it is therefore sufficient to calibrate the underwater camera only once in air. It is demonstrated by real world experiments with several underwater cameras in different salt and sweet water conditions that the proposed process outperforms standard methods. Among others, it is shown how the presented method leads to accurate results with single in-air calibration and even with just estimated salinity values.

******************** LICENSE & DISCALIMER************************* Examples are released as Matlab and C/C++ ROS code. Unless specified otherwise in the respective files this code was developed within Jacobs Robotics Group, Jacobs University Bremen gGmbH.

THIS SOFTWARE IS PROVIDED BY Jacobs Robotics ``AS IS'' AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO , THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL Jacobs Robotics BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

Unless specified otherwise this code examples are released under Creative Commons CC BY-NC-ND 4.0 license (free for non-commercial use). Details may be found here: https://creativecommons.org/licenses/by-nc-nd/4.0/

If you wish to commercialize the Pinax model please contact [email protected]

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