GPGPU Implementation of a Genetic Algorithm for Stereo Refinement

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Provided by: Creative Commons
Topic: Hardware
Format: PDF
During the last decade, the General-Purpose computing on Graphics Processing Units graphics (GPGPUs) has turned out to be a useful tool for speeding up many scientific calculations. Computer vision is known to be one of the fields with more penetration of these new techniques. This paper explores the advantages of using GPGPU implementation to speed-up a genetic algorithm used for stereo refinement. The main contribution of this paper is analyzing which genetic operators take advantage of a parallel approach and the description of an efficient state-of-the-art implementation for each one.
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