Handbook of Mathematical Models in Computer Vision (Hardcover, 2006 ed.)

Abstract Biological vision is a rather fascinating domain of research. Scientists of various origins like biology, medicine, neurophysiology, engineering, math ematics, etc. aim to understand the processes leading to visual perception process and at reproducing such systems. Understanding the environment is most of the time done through visual perception which appears to be one of the most fundamental sensory abilities in humans and therefore a significant amount of research effort has been dedicated towards modelling and repro ducing human visual abilities. Mathematical methods play a central role in this endeavour. Introduction David Marr's theory v DEGREESas a pioneering step tov DEGREESards understanding visual percep tion. In his view human vision was based on a complete surface reconstruction of the environment that was then used to address visual subtasks. This approach was proven to be insufficient by neuro-biologists and complementary ideas from statistical pattern recognition and artificial intelligence were introduced to bet ter address the visual perception problem. In this framework visual perception is represented by a set of actions and rules connecting these actions. The emerg ing concept of active vision consists of a selective visual perception paradigm that is basically equivalent to recovering from the environment the minimal piece information required to address a particular task of interest."

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Release date:	October 2005
First published:	2006
Editors:	Nikos Paragios • Yunmei Chen • Olivier D. Faugeras
Dimensions:	235 x 156 x 42mm (L x W x T)
Format:	Hardcover
Pages:	606
Edition:	2006 ed.
ISBN-13:	978-0-387-26371-7
Categories:	Books > Computing & IT > Applications of computing > Computer modelling & simulation Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematical modelling Books > Computing & IT > Computer software packages > Computer graphics software > General
LSN:	0-387-26371-3
Barcode:	9780387263717

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