Summary: A GPU-powered Computational Framework for Efficient 3D Model-based Vision
Nikolaos Kyriazis, Iason Oikonomidis, Antonis A. Argyros
Institute of Computer Science,
Department of Computer Science,
University of Crete, Greece
Provide efficient implementations for hypothesize-and-test vision methods
that incorporate intense rendering as means of simulation.
In computer vision, several problems are solved by employing
hypothesize-and-test methods. Hypotheses can be made comparable to
acquired images by means of 3D rendering.