Efficient Global Point-cloud registration
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Updated
Sep 28, 2021 - C++
Efficient Global Point-cloud registration
A lean C++ library for working with point cloud data
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
Image alignment and stitching with MATLAB
Compute Vanishing points using RANSAC and rectify the image
A python tool for fitting primitives 3D shapes in point clouds using RANSAC algorithm
Create panorama image using invariant features from given set of overlapping images.
💎 "Marker-less Augmented Reality" with OpenCV and OpenGL.
Problem Set solutions for the "Introduction to Computer Vision (ud810)" MOOC from Udacity
A demo that implement image registration by matching SIFT descriptors and appling RANSAC and affine transformation.
An Evaluation of Feature Matchers for Fundamental Matrix Estimation (BMVC 2019)
Implemented a pipeline for 2D image mosaic and stitching. Feature extraction & matching, Adaptive Non-Maximal Suppression (ANMS), geometric blur, RANSAC
有空就写点,没空就空着。
Scripts showcasing filtering techniques applied to point cloud data.
MODS (Matching On Demand with view Synthesis) is algorithm for wide-baseline matching.
Joint Geometric and Object Segmentation for Indoor Scenes
This c++ implementation RANSAC algorithm finds the n best fitting circles out of the given points.
[CVPR 2024 - Oral] Matching 2D Images in 3D: Metric Relative Pose from Metric Correspondences
Node-based CLI utility for local matcher-core configs' headless testing 🎈
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