Geometric computer vision

OpenGV is a C++ library for solving geometric computer vision problems. It contains efficient implementations of absolute-pose, relative-pose, triangulation, and point-cloud alignment methods for the calibrated case. All problems can be solved for central or non-central cameras, and embedded into a random sample consensus or nonlinear optimization scheme. The library is relying on the adapter pattern, and thus may easily be included into other projects. It furthermore contains a Matlab interface and a full benchmark kit for testing and comparing algorithms against each other.


Author - Peter Corke

Peter Corke

Peter Corke is a professor of robotic vision at Queensland University of Technology, and director of the ARC Centre of Excellence for Robotic Vision. His research is concerned with enabling robots to see, and the application of robots to mining, agriculture and environmental monitoring. Link

Category: Software
Posted 09 May 2017

Australian Centre for Robotic Vision
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