A lean C++ library for working with point cloud data

Python library for fitting 3D primitive shapes to point clouds with RANSAC. Detect planes, spheres, cylinders, cuboids, circles, and lines.

[CVPR 2024 - Oral] Matching 2D Images in 3D: Metric Relative Pose from Metric Correspondences

Efficient Global Point-cloud registration

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

[ICCV-2025] TurboReg: TurboClique for Robust and Efficient Point Cloud Registration

Compute Vanishing points using RANSAC and rectify the image

Create panorama image using invariant features from given set of overlapping images.

A demo that implement image registration by matching SIFT descriptors and appling RANSAC and affine transformation.

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

Image alignment and stitching with MATLAB

[RAL 2024] RANSAC Back to SOTA: A Two-Stage Consensus Filtering for Real-Time 3D Registration

Problem Set solutions for the "Introduction to Computer Vision (ud810)" MOOC from Udacity

An Evaluation of Feature Matchers for Fundamental Matrix Estimation (BMVC 2019)

有空就写点，没空就空着。

RANSAC Template Library

MODS (Matching On Demand with view Synthesis) is algorithm for wide-baseline matching.

[CVPR 2023] Two-view Geometry Scoring Without Correspondences

LiDAR Fusion with Vision

Image Mosaicing or Panorama Creation