ONNX-compatible LightGlue: Local Feature Matching at Light Speed. Supports TensorRT, OpenVINO

C++ 2D geometry library, handles points, lines, polylines, planar transformations (and other primitives), using homogeneous coordinates. Provided with complete manual and samples.

Fisheye or Normal Camera Intrinsic and Extrinsic Calibration. Surround Camera Bird Eye View Generator.

The Graph-Cut RANSAC algorithm proposed in paper: Daniel Barath and Jiri Matas; Graph-Cut RANSAC, Conference on Computer Vision and Pattern Recognition, 2018. It is available at http://openaccess.thecvf.com/content_cvpr_2018/papers/Barath_Graph-Cut_RANSAC_CVPR_2018_paper.pdf

Panorama image stitching using SIFT algorithm, Homography, RANSAC and weighted blending in OpenCV.

Introduce/remove perspective to/from images using c++/homography/svd/eigenlib/mfc

DTU course 02504 Computer Vision, Spring 2024

Some of the topics, algorithms and projects in image processing and computer vision that I have worked on and become familiar with.

C# class library for finding and using homography matrix.

Pose Estimation and Augmented Reality on a Rubiks Cube

Geometrical computer vision and deep learning methods for creating a panorama image

Repository containing ECE149 projects at UCLA(Introduction to Computer Vision)

A manually-implemented image stitcher that uses image warping and homographies to automatically create an image mosaic.

双鱼眼全景拼接

Deep learning approaches of estimating homography between images

Implementing the concept of Stereo Vision. We are given 3 different datasets, each of them containing 2 images of the same scenario but taken from two different camera angles. By comparing the information about a scene from 2 vantage points, we can obtain the 3D information by examining the relative positions of objects.

This project involves stitching together four images taken from the different camera positions to create a panoramic image. The goal is to seamlessly merge the images together so that the resulting panoramic image looks like a single, continuous image.

This project aims to estimate camera pose using homography for a given video. Steps involved are designing an image processing pipeline to extract paper's corners, computing homography between real-world points and pixel coordinates of the corners, and decomposing the homography matrix to obtain rotation and translation parameters.

Panorama stitching using DLT(Direct Linear Transform) for homography estimation, and stitching using Image pyramids.