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A GPU-powered Computational Framework for Efficient 3D Model-based Vision Nikolaos Kyriazis, Iason Oikonomidis, Antonis A. Argyros
 

Summary: A GPU-powered Computational Framework for Efficient 3D Model-based Vision
Nikolaos Kyriazis, Iason Oikonomidis, Antonis A. Argyros
Institute of Computer Science,
FORTH, Greece
AND
Department of Computer Science,
University of Crete, Greece
PROBLEM
Provide efficient implementations for hypothesize-and-test vision methods
that incorporate intense rendering as means of simulation.
MOTIVATION
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.
METHOD
Observation
Preprocessing

Search
Reduction

  

Source: Argyros, Antonis - Foundation of Research and Technology, Hellas & Department of Computer Science, University of Crete

 

Collections: Computer Technologies and Information Sciences