期刊
REPRODUCIBLE RESEARCH IN PATTERN RECOGNITION, RRPR 2016
卷 10214, 期 -, 页码 60-74出版社
SPRINGER INTERNATIONAL PUBLISHING AG
DOI: 10.1007/978-3-319-56414-2_5
关键词
Reproducible research; Computer vision; Multiple-view geometry; 3D reconstruction; Structure from Motion; C plus; Open source
资金
- Imagine project of Ecole des Ponts ParisTech
- MikrosImage
- Foxel
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 state-of-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.
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