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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

Build

See the building page.

License

See the copyright file.

Citation

If you use this project for your research, please cite:

@Unpublished{openmvs2020,
    author = {Cernea, Dan},
    title = {{OpenMVS}: Multi-View Stereo Reconstruction Library},
    year = {2020},
    url = {https://cdcseacave.github.io/openMVS}
}

Contact

openmvs[AT]googlegroups.com