Optical Flow Estimation Using Pulse Coupled Neural Networks - Barenhoff, Markus
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Most of the ways for Optical Flow estimation in computer vision depend on static algorithms or dynamic algorithms which need some kind of training.The subject of this work is to use a model of biological neural networks called Pulse Coupled Neural Networks, which try to model biological neuronal networks in a more accurate manner, to implementa system for Optical Flow estimation which needs no training and is suitable for the use with both artificial and natural images.Beginning with a introduction to the subject and the problems of Optical Flow estimation as well as to Pulse Coupled Neural…mehr

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Produktbeschreibung
Most of the ways for Optical Flow estimation in computer vision depend on static algorithms or dynamic algorithms which need some kind of training.The subject of this work is to use a model of biological neural networks called Pulse Coupled Neural Networks, which try to model biological neuronal networks in a more accurate manner, to implementa system for Optical Flow estimation which needs no training and is suitable for the use with both artificial and natural images.Beginning with a introduction to the subject and the problems of Optical Flow estimation as well as to Pulse Coupled Neural Networks this book suggests a multi layer architecture which should enable the reader to implement a system on his own.
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Autorenporträt
Barenhoff, Markus§Markus Barenhoff born 1980 Münster, Germany studied at the University of Applied Science in Hamburg and has a bachelors degree in computer engeneering. He has specialized on computer vision and aritificial intelligence.