Computational models for cognitive vision

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Title:

Author:

Ghosh, Hiranmay, author.

ISBN:

9781119527886

9781119527893

9781119527855

Physical Description:

1 online resource (xvii, 222 pages) : illustrations (some color)

Contents:

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.

Abstract:

"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

Local Note:

John Wiley and Sons

Subject Term:

Computer vision.

Cognitive science.

Visual perception.

Bayesian statistical decision theory.

Visual Perception

Vision par ordinateur.

Sciences cognitives.

Perception visuelle.

Théorie de la décision bayésienne.