https://github.com/laurentkneip/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.
https://github.com/laurentkneip/opengv

Last synced: about 2 months ago
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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.

• Host: GitHub
• URL: https://github.com/laurentkneip/opengv
• Owner: laurentkneip
• License: other
• Created: 2013-08-10T03:56:55.000Z (almost 11 years ago)
• Default Branch: master
• Last Pushed: 2023-06-07T18:14:14.000Z (about 1 year ago)
• Last Synced: 2024-03-26T10:37:58.450Z (3 months ago)
• Language: C++
• Homepage:
• Size: 7.43 MB
• Stars: 986
• Watchers: 69
• Forks: 348
• Open Issues: 56
• Metadata Files:
  • Readme: README.txt
  • License: License.txt

Lists

• awesome_3DReconstruction_list - OpenGV - permissive | (OpenSource Multiple View Geometry Library Solvers / UAV Trajectory Optimization for model completeness)
• Awesome-SLAM - opengv

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: [email protected]