💎 "Marker-less Augmented Reality" with OpenCV and OpenGL.
-
Updated
Jan 2, 2021 - C++
💎 "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.
MATLAB implementation of RANSAC for determining Homography Transformation Matrix for Image Stitching
Rotate 2D images in 3D space
Simple solutions for computer vision from academic tasks
Image stitching from scratch with almost implemented with numpy, functions from OpenCV are minimally used.
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…
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.
Simple camera-to-world (z=0) coordinates transformation via homography matrix, OpenCV, C++. Uses the output from https://github.com/rodolfoap/points-picker
OpenCV4 C++ camera calibration in some lines
some test code of opencv-python
Add a description, image, and links to the homography-matrix topic page so that developers can more easily learn about it.
To associate your repository with the homography-matrix topic, visit your repo's landing page and select "manage topics."