Openmvs
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Openmvs | 2,633 | 6 days ago | 261 | agpl-3.0 | C++ | |||||
| open Multi-View Stereo reconstruction library | ||||||||||
| Libpointmatcher | 1,386 | 11 days ago | 83 | bsd-3-clause | C++ | |||||
| An Iterative Closest Point (ICP) library for 2D and 3D mapping in Robotics | ||||||||||
| Easy3d | 993 | 23 days ago | 8 | gpl-3.0 | C++ | |||||
| A lightweight, easy-to-use, and efficient C++ library for processing and rendering 3D data | ||||||||||
| Cilantro | 724 | a year ago | 16 | mit | C++ | |||||
| A lean C++ library for working with point cloud data | ||||||||||
| Livescan3d | 689 | a month ago | 32 | mit | C++ | |||||
| LiveScan3D is a system designed for real time 3D reconstruction using multiple Azure Kinect or Kinect v2 depth sensors simultaneously at real time speed. | ||||||||||
| 3dmatch Toolbox | 467 | 5 years ago | 18 | bsd-2-clause | C++ | |||||
| 3DMatch - a 3D ConvNet-based local geometric descriptor for aligning 3D meshes and point clouds. | ||||||||||
| Point2mesh | 408 | 3 years ago | 8 | mit | Python | |||||
| Reconstruct Watertight Meshes from Point Clouds [SIGGRAPH 2020] | ||||||||||
| Samplenet | 262 | a year ago | other | Python | ||||||
| Differentiable Point Cloud Sampling (CVPR 2020 Oral) | ||||||||||
| Pointnet Autoencoder | 230 | 3 years ago | 12 | other | Python | |||||
| Autoencoder for Point Clouds | ||||||||||
| Npbg | 227 | a year ago | 10 | mit | Python | |||||
| Neural Point-Based Graphics | ||||||||||
OpenMVS: open Multi-View Stereo reconstruction library
Introduction
OpenMVS (Multi-View Stereo) is a library for computer-vision scientists and especially targeted to the Multi-View Stereo reconstruction community. While there are mature and complete open-source projects targeting Structure-from-Motion pipelines (like OpenMVG) which recover camera poses and a sparse 3D point-cloud from an input set of images, there are none addressing the last part of the photogrammetry chain-flow. OpenMVS aims at filling that gap by providing a complete set of algorithms to recover the full surface of the scene to be reconstructed. The input is a set of camera poses plus the sparse point-cloud and the output is a textured mesh. The main topics covered by this project are:
- dense point-cloud reconstruction for obtaining a complete and accurate as possible point-cloud
- mesh reconstruction for estimating a mesh surface that explains the best the input point-cloud
- mesh refinement for recovering all fine details
- mesh texturing for computing a sharp and accurate texture to color the mesh
See the complete documentation on wiki.
Build
See the building wiki page. Windows, Ubuntu and MacOS x64 continuous integration status 
Automatic Windows x64 binary builds can be found for each commit on its Artifacts page.
Example
See the usage example wiki page.
License
See the copyright file.
Contact
openmvs[AT]googlegroups.com