OpenGV is a collection of computer vision methods for solving geometric vision problems. It is hosted and maintained by the Mobile Perception Lab of ShanghaiTec
OpenGV is a collection of computer vision methods for solving geometric vision problems. It is hosted and maintained by the Mobile Perception Lab of ShanghaiTec
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: [email protected]
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