Skip to content

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.

License

Notifications You must be signed in to change notification settings

NeubiSLAM/opengv

 
 

Repository files navigation

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

About

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.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • C++ 97.1%
  • MATLAB 2.0%
  • Other 0.9%