opengv

Collection of methods for solving geometric vision problems

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.