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Opengv

OpenGV is a collection of computer vision methods for solving geometric vision problems. It is hosted and maintained by the Mobile Perception Lab of ShanghaiTech.

Install / Use

/learn @laurentkneip/Opengv
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

library: OpenGV pages: http://laurentkneip.github.io/opengv brief: OpenGV is a collection of computer vision methods for solving geometric vision problems. It contains absolute-pose, relative-pose, triangulation, and point-cloud alignment methods for the calibrated case. All problems can be solved with central or non-central cameras, and embedded into a random sample consensus or nonlinear optimization context. Matlab and Python interfaces are implemented as well. The link to the above pages also shows links to precompiled Matlab mex-libraries. Please consult the documentation for more information. author: Laurent Kneip, ShanghaiTech, Mobile Perception Lab (http://mpl.sist.shanghaitech.edu.cn) contact: kneip.laurent@gmail.com

Related Skills

View on GitHub
GitHub Stars1.1k
CategoryDevelopment
Updated4d ago
Forks357

Languages

C++

Security Score

80/100

Audited on Apr 2, 2026

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