💎 "Marker-less Augmented Reality" with OpenCV and OpenGL.

C++ implementation of Lucas-Kanade-Image-Alignment

Change a 2D image into 3D (Tour-Into-the-Picture)

Implementation of Panorama stitching using ORB feature matching, and RANSAC for homography estimation, and stitching using Image pyramids.

The Random Cluster Model for Robust Geometric Fitting

Screen to world coordinates conversion using Perspective-N-Points strategy - OpenCV4 solvePnP().

Use OpenCV 2D Features framework to transform images of one scene into the same coordinate system and make a panorama.

Rotate 2D images in 3D space

MATLAB implementation of RANSAC for determining Homography Transformation Matrix for Image Stitching

Simple solutions for computer vision from academic tasks

Detection of a plane in 3D space using aruco markers. It detects any set of tags with defined realworld positions on a json file. Then it computes projection of points on plane. It can also compute a perspective transform based on the computed homography matrix, which crops the area inside the tags placed on the corners. The volume of the comput…

Image stitching from scratch with almost implemented with numpy, functions from OpenCV are minimally used.

Simple camera-to-world (z=0) coordinates transformation via homography matrix, OpenCV, C++. Uses the output from https://github.com/rodolfoap/points-picker

Stitching RGB/RGBD images into a single image.

Calculates the 3x3 homography matrix from a given set of corresponding point pairs to transform between two points of view.

Screen to world coordinates C++ conversion using Perspective-N-Points strategy - OpenCV4 solvePnP(), using distances generated from detection boxes.

OpenCV4 C++ camera calibration in some lines

some test code of opencv-python