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OpenGV is a collection of computer vision methods for solving geometric vision problems.
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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. Please consult the documentation for more information. author: Laurent Kneip, The Australian National University contact: [email protected]
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OpenGV is a collection of computer vision methods for solving geometric vision problems.
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