| Description |
1 online resource |
| Summary |
Learn how to apply cognitive principles''to the problems of computer vision' Computational Models for Cognitive Vision'formulates the computational models for'the'cognitive principles'found in'biological'vision,''and applies those models'to computer vision'tasks.'Such principles include perceptual grouping, attention, visual quality and aesthetics, knowledge-based interpretation and learning, to name a few.'The author's'ultimate goal'is to'provide a framework for'creation of a'machine vision system''with the'capability and versatility of'the human vision.'' Written by Dr.'Hiranmay'Ghosh, the book takes readers through the basic'principles'and the computational models'for'cognitive vision, Bayesian reasoning for perception and cognition, and other'related'topics, before'establishing the'relationship of'cognitive vision'with'the'multi-disciplinary'field broadly referred to as 'artificial intelligence'.'The principles are illustrated with diverse application examples in computer vision, such as computational photography, digital heritage and social robots.'The author concludes with suggestions for future research and salient observations about the state of the field of cognitive vision.' Other topics covered in the book include:' ''''''''' knowledge representation techniques' ''''''''' evolution of cognitive architectures' ''''''''' deep'learning approaches'for visual cognition' ' Undergraduate students, graduate students, engineers, and researchers interested in cognitive vision will consider this an indispensable and practical resource in the development and study of computer vision.'' ' |
| Subject |
Computers.
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Electronic digital computers.
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computers.
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COMPUTERS / General.
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Electronic digital computers
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Computers
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| Form |
Electronic book
|
| ISBN |
9781119527893 |
|
1119527899 |
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