https://github.com/cdcseacave/openMVS
open Multi-View Stereo reconstruction library
https://github.com/cdcseacave/openMVS
3d-reconstruction dense-point-cloud dense-reconstruction mesh multi multi-view-stereo openmvs patch-match point-cloud refinement semi-global-matching sgm stereo stereo-matching stereo-reconstruction-library stereo-vision surface texture
Last synced: about 2 months ago
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open Multi-View Stereo reconstruction library
- Host: GitHub
- URL: https://github.com/cdcseacave/openMVS
- Owner: cdcseacave
- License: agpl-3.0
- Created: 2015-05-18T15:21:44.000Z (almost 10 years ago)
- Default Branch: master
- Last Pushed: 2024-08-26T15:06:13.000Z (9 months ago)
- Last Synced: 2024-08-27T12:03:37.347Z (9 months ago)
- Topics: 3d-reconstruction, dense-point-cloud, dense-reconstruction, mesh, multi, multi-view-stereo, openmvs, patch-match, point-cloud, refinement, semi-global-matching, sgm, stereo, stereo-matching, stereo-reconstruction-library, stereo-vision, surface, texture
- Language: C++
- Homepage: http://cdcseacave.github.io
- Size: 3.82 MB
- Stars: 3,256
- Watchers: 129
- Forks: 898
- Open Issues: 332
-
Metadata Files:
- Readme: README.md
- Funding: .github/FUNDING.yml
- License: LICENSE
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README
# OpenMVS: open Multi-View Stereo reconstruction library
[](https://sketchfab.com/models/3aedcdd22c31447199c18dd9aec5d952/embed)
## Introduction
[OpenMVS (Multi-View Stereo)](http://cdcseacave.github.io/openMVS) 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](https://github.com/openMVG/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](https://github.com/cdcseacave/openMVS/wiki) on wiki.
## Build
See the [building](https://github.com/cdcseacave/openMVS/wiki/Building) wiki page. Windows, Ubuntu and MacOS x64 continuous integration status [](https://github.com/cdcseacave/openMVS/actions/workflows/continuous_integration.yml)
Automatic Windows x64 binary builds can be found for each commit on its Artifacts page.
## Example
See the usage [example](https://github.com/cdcseacave/openMVS/wiki/Usage) wiki page.
## License
See the [copyright](https://github.com/cdcseacave/openMVS/blob/master/COPYRIGHT.md) file.
## Contact
openmvs[AT]googlegroups.com