Computational models for cognitive vision /
Ghosh, Hiranmay,
Computational models for cognitive vision / Hiranmay Ghosh. - 1 PDF.
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"--
Mode of access: World Wide Web
9781119527855
Computer vision.
Cognitive science.
Visual perception.
Bayesian statistical decision theory.
Electronic books.
006.3/7
Computational models for cognitive vision / Hiranmay Ghosh. - 1 PDF.
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"--
Mode of access: World Wide Web
9781119527855
Computer vision.
Cognitive science.
Visual perception.
Bayesian statistical decision theory.
Electronic books.
006.3/7