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

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

The Random Cluster Model for Robust Geometric Fitting

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

Simple solutions for computer vision from academic tasks

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

OpenCV4 C++ camera calibration in some lines

10/2019: A Computer Vision System that stitch two camera views to generate a panorama

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

some test code of opencv-python

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

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

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

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.

The project focuses on detecting custom AR tags that are used for obtaining a point of reference in the real world, such as in augmented reality applications.

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