Computational Models for Cognitive Vision

Regular price €58.99
Quantity:
In stock with our UK publisher. 14-28 days
Delivery/Collection within 10-20 working days
14 days return policy Shipping & Delivery
A01=Hiranmay Ghosh
abductive reasoning
Age Group_Uncategorized
Age Group_Uncategorized
AI
artificial intelligence
artificial vision
Author_Hiranmay Ghosh
automatic-update
Bayesian reasoning
biological system modeling
biologically inspired computing
biologically inspired systems
Category1=Non-Fiction
Category=UYQ
cognition
cognitive modeling
cognitive models
cognitive processes
cognitive systems
cognitive vision in computers
computational intelligence
computational modeling
Computational models for cognition
computational vision
computer vision
conceptual knowledge
contextual object recognition
COP=United Kingdom
deductive reasoning
deep learning
Delivery_Delivery within 10-20 working days
eq_bestseller
eq_computing
eq_isMigrated=2
eq_nobargain
eq_non-fiction
General Artificial Intelligence
holistic understanding
inductive reasoning
Language_English
machine learning
machine vision
PA=Available
perceptual knowledge
Price_€50 to €100
probabilistic modeling
PS=Active
saliency-driven visual attention models task-driven visual attention models
softlaunch
visual artificial intelligence

Product details

  • ISBN 9781119527862
  • Weight: 454g
  • Dimensions: 10 x 10mm
  • Publication Date: 25 Sep 2020
  • Publisher: John Wiley and Sons Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
  • Language: English
Secure checkout Fast Shipping Easy returns

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.  

 

HIRANMAY GHOSH, 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.

More from this author