@inproceedings{437da732bb3c4d56b9dd52051182ac32,
title = "OpenMVG: Open multiple view geometry",
abstract = "The OpenMVG C++ library provides a vast collection of multiple-view geometry tools and algorithms to spread the usage of computer vision and structure-from-motion techniques. Close to the stateof- the-art in its domain, it provides an easy access to common tools used in 3D reconstruction from images. Following the credo “Keep it simple, keep it maintainable” the library is designed as a modular collection of algorithms, libraries and binaries that can be used independently or as bricks to build larger systems. Thanks to its strict test driven development, the library is packaged with unit-test code samples that make the library easy to learn, modify and use. Since its first release in 2013 under the MPL2 license, OpenMVG has gathered an active community of users and contributors from many fields, spanning hobbyists, students, computer vision experts, and industry members.",
keywords = "3D reconstruction, C++, Computer vision, Multiple-view geometry, Open source, Reproducible research, Structure from motion",
author = "Pierre Moulon and Pascal Monasse and Romuald Perrot and Renaud Marlet",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2017.; 1st Workshop on Reproducible Research in Pattern Recognition, RRPR 2016 ; Conference date: 04-12-2016 Through 04-12-2016",
year = "2017",
month = jan,
day = "1",
doi = "10.1007/978-3-319-56414-2\_5",
language = "English",
isbn = "9783319564135",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "60--74",
editor = "Miguel Colom and Bertrand Kerautret and Pascal Monasse",
booktitle = "Reproducible Research in Pattern Recognition - 1st International Workshop, RRPR 2016, Revised Selected Papers",
}