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.
0
SUMMARY OR ABSTRACT
Text of Note
"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"--
TOPICAL NAME USED AS SUBJECT
Entry Element
Computer vision.
Entry Element
Cognitive science.
Entry Element
Visual perception.
Entry Element
Bayesian statistical decision theory
a06
DEWEY DECIMAL CLASSIFICATION
Edition
23
LIBRARY OF CONGRESS CLASSIFICATION
Class number
TA1634
Book number
.
G46
2020
PERSONAL NAME - PRIMARY RESPONSIBILITY
Entry Element
Ghosh, Hiranmay,
ORIGINATING SOURCE
Country
Iran
Agency
University of Tehran. Library of College of Science