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.

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laurentkneip Update main.cpp

91f4b19

Aug 6, 2020

Update main.cpp

For some reason, the output of the Eigen eigensolver does no longer order the eigenvalues in decreasing order (or it never did, and it is a problem since we replaced the ComplexEigenSolver by the regular EigenSolver). Added code to order the output such that the resulting translations make sense. This fixes both eigensolver and ge!

91f4b19

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README.txt

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

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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.

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