OpenMVG (Multiple View Geometry) "open Multiple View Geometry" is a library for computer-vision scientists and especially targeted to the Multiple View Geometry community. It is designed to provide an easy access to the classical problem solvers in Multiple View Geometry and solve them accurately.

The openMVG credo is: "Keep it simple, keep it maintainable". OpenMVG targets readable code that is easy to use and modify by the community.

All the features and modules are unit tested. This test driven development ensures that the code works as it should and enables more consistent repeatability. Furthermore, it makes it easier for the user to understand and learn the given features.

See BUILD text file

Continuous integration :

• develop branch: BUILD + UNIT TESTING
• linux 64 bits (GCC + clang).

See LICENSE MPL2 text file

See Authors text file

See documentation

openMVG authors would like to thanks libmv authors for providing an inspiring base to design openMVG. Authors also would like to thanks Mikros Image [1] and LIGM-Imagine laboratory [2] for support and authorization to make this library an opensource project.

[1] http://www.mikrosimage.eu/ [2] http://imagine.enpc.fr/

openmvg-team[AT]googlegroups.com

If you find the library or some part of it useful, then following publications are relevant:

[3] Moulon Pierre, Monasse Pascal and Marlet Renaud. ACCV 2012. Adaptive Structure from Motion with a contrario model estimation.

[4] Moulon Pierre and Monasse Pascal. CVMP 2012. Unordered feature tracking made fast and easy.

[5] Moisan Lionel, Moulon Pierre and Monasse Pascal. IPOL 2012. Automatic Homographic Registration of a Pair of Images, with A Contrario Elimination of Outliers.

Please cite [3] if you use openMVG library in your work.