Computational models for cognitive vision / Hiranmay Ghosh.
By: Ghosh, Hiranmay [author.]
.
Contributor(s): IEEE Xplore (Online Service) [distributor.] | Wiley [publisher.].
Material type: 
BookPublisher: Hoboken, New Jersey : Wiley-IEEE Computer Society Press, [2020]Distributor: [Piscataqay, New Jersey] : IEEE Xplore, [2020]Description: 1 PDF.Content type: text Media type: electronic Carrier type: online resourceISBN: 9781119527855.Subject(s): Computer vision | Cognitive science | Visual perception | Bayesian statistical decision theoryGenre/Form: Electronic books.Additional physical formats: Print version:: Computational models for cognitive visionDDC classification: 006.3/7 Online resources: Abstract with links to resource Also available in print.Includes bibliographical references and index.
Early vision -- Bayesian reasoning for perception and cognition -- Late vision -- Visual attention -- Cognitive architectures -- Knowledge representation for cognitive vision -- Deep learning for visual cognition -- Applications of visual cognition.
Restricted to subscribers or individual electronic text purchasers.
"This book focuses on computing aspects and shows how the cognitive principles borrowed from other disciplines can be used to solve problems of computer vision. The book begins with an introduction to the problems of computer vision and why cognitive principles should be used to solve these problems. Then it moves on to a discussion of deductive, inductive, and abductive reasoning and the psychological observations and deductions of various theories and models of cognitive vision. Other topics covered include knowledge representation techniques, evolution of cognitive architectures, machine learning approaches, and more. The book ends with salient observations and future research directions"-- Provided by publisher.
Also available in print.
Mode of access: World Wide Web
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