{"product_id":"computational-models-for-cognitive-vision-paperback","title":"Computational Models for Cognitive Vision - Paperback","description":"\u003cp\u003eby \u003cb\u003eHiranmay Ghosh\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eLearn how to apply cognitive principles \u003c\/b\u003e\u003cb\u003e to the problems of computer vision\u003c\/b\u003e \u003c\/p\u003e \u003cp\u003e\u003ci\u003eComputational Models for Cognitive Vision\u003c\/i\u003e 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. \u003c\/p\u003e \u003cp\u003eWritten 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. \u003c\/p\u003e \u003cp\u003eOther topics covered in the book include: \u003c\/p\u003e \u003cp\u003e- knowledge representation techniques \u003c\/p\u003e \u003cp\u003e- evolution of cognitive architectures \u003c\/p\u003e \u003cp\u003e- deep learning approaches for visual cognition \u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003eUndergraduate 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. \u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eLEARN HOW TO APPLY COGNITIVE PRINCIPLES TO THE PROBLEMS OF COMPUTER VISION\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003e\u003ci\u003eComputational Models for Cognitive Vision\u003c\/i\u003e 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 assessment, knowledge-based interpretation and learning, to name a few. The ultimate goal of this book is to provide a framework for creation of a machine vision system with the capability and versatility of human vision. \u003c\/p\u003e\u003cp\u003eWritten by Dr. Hiranmay Ghosh, the book takes readers through the transformation of visual signals that takes place in the eyes, principles of Bayesian reasoning for perception and cognition, and other related topics, before establishing the relationship of cognitive vision with various principles of the multi-disciplinary field broadly referred to as \"artificial intelligence\". The theories are illustrated with diverse application examples, such as computational photography, digital heritage and social robots. The author concludes with salient observations about the state of the field of cognitive vision and future research directions. \u003c\/p\u003e\u003cp\u003eOther topics covered in the book include: \u003c\/p\u003e\u003cul\u003e \u003cli\u003eknowledge representation techniques for cognitive computing\u003c\/li\u003e \u003cli\u003eevolution of cognitive architectures\u003c\/li\u003e \u003cli\u003edeep learning approaches for visual cognition\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eUndergraduate students, graduate students, engineers, and researchers interested in cognitive vision will find this an indispensable and practical resource in the development and study of computer vision.\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eHIRANMAY GHOSH, \u003c\/b\u003e PHD, was a Research Advisor to TATA Consultancy Services and an Adjunct Faculty Member with the National Institute of Technology Karnataka. During his long professional career, he has served several reputed organizations, including CMC, ECIL and C-DOT and TCS. He was an Adjunct Faculty Member with IIT Delhi, and with the National Institute of Technology Karnataka. He is a Senior Member of IEEE, Life Member of IUPRAI, and a Member of ACM.\u003c\/p\u003e\u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 240\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.52 x 9 x 6 IN\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e August 18, 2020\u003c\/div\u003e","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":42164231471239,"sku":"9781119527862","price":89.21,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0601\/2623\/2711\/files\/d52b38b6fb85a2bd16d4c7a205007f23.webp?v=1733304008","url":"https:\/\/booksby.splitshops.com\/products\/computational-models-for-cognitive-vision-paperback","provider":"Books by splitShops","version":"1.0","type":"link"}