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

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

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

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

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

Detection of a plane in 3D space using aruco markers. Based on Automatic Workspace Calibration Using Homography for Pick and Place - IEEE CASE 2023, Auckland, New Zealand | DOI: 10.1109/CASE56687.2023.10260601

Alternative to the built in homography-node in vvvv gamma. uses: https://github.com/nenoNaninu/HomographySharp. outputs correct values in much more cases than the original. can work on more than 4 points.

Simple solutions for computer vision from academic tasks

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

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

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.

GeoCamPal is a modular image analysis toolkit with a GUI and an open-source Python environment. It integrates specialised tools for feature identification using HSV masking and manual identification, training data (COCO json) preparation, georeferencing images using a 2D homography matrix, DEM generation and further analysis.

OpenCV4 C++ camera calibration in some lines