Automatically exported from code.google.com/p/sparseicp
☆251Jun 5, 2023Updated 2 years ago
Alternatives and similar repositories for sparseicp
Users that are interested in sparseicp are comparing it to the libraries listed below
Sorting:
- Fast Global Registration☆548Sep 2, 2024Updated last year
- Efficient Global Point-cloud registration☆503Sep 28, 2021Updated 4 years ago
- ☆643Jul 6, 2024Updated last year
- ☆221Oct 6, 2016Updated 9 years ago
- Normal Iterative Closest Point (NICP) Algorithm C++ Library☆410Mar 23, 2022Updated 3 years ago
- Deformation Loop Closure sample code to enable non-rigid alignment of point clouds☆56Sep 13, 2015Updated 10 years ago
- Implementation of the Go-ICP algorithm for globally optimal 3D pointset registration☆497Jun 2, 2019Updated 6 years ago
- GH-ICP: Iterative Closest Point algorithm with global optimal matching and hybrid metric [3DV' 18]☆464Nov 23, 2024Updated last year
- Multiview Levenberg-Marquardt ICP☆245Dec 29, 2020Updated 5 years ago
- Computation of coherently aligned pointcloud normals using nanoflann for neighbour search and Eigen for eigenvector computation.☆17Feb 1, 2018Updated 8 years ago
- Super fast implementation of ICP in CUDA for compute capable devices 3.5 or higher☆717Oct 6, 2021Updated 4 years ago
- Implementation of the sparse icp algorithm☆37Jan 12, 2018Updated 8 years ago
- Generalized ICP reference implementation☆183Aug 15, 2015Updated 10 years ago
- OpenGR: A C++ library for 3D Global Registration☆383Feb 11, 2025Updated last year
- 3D reconstruction system to creating detailed scene geometry from range video.☆659Oct 4, 2016Updated 9 years ago
- Robust Point Cloud Registration Using Iterative Probabilistic Data Associations ("Robust ICP")☆572May 15, 2017Updated 8 years ago
- An Iterative Closest Point (ICP) library for 2D and 3D mapping in Robotics☆1,791Oct 29, 2025Updated 4 months ago
- A Framework for the Volumetric Integration of Depth Images☆972Feb 15, 2021Updated 5 years ago
- 3DMatch - a 3D ConvNet-based local geometric descriptor for aligning 3D meshes and point clouds.