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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.
WWW: http://laurentkneip.github.io/opengv/
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