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.
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.
See the usage example wiki page.
See the copyright file.
openmvs[AT]googlegroups.com
Currently stored under the folder labelled 'demo'. This pipeline runs as a flask app and uses a pure HTML web page for the UI. Files are uploaded and stored in a uniquely numbered folder per connection instance and the page must be refreshed to start a new upload at the moment After upload, one may run either photogrammetry or object detection by clicking the appropriate button. The result files will be found in the numebred folder under OUTPUT.