eBook - Computational Models for Cognitive Vision
Available Exclusively as an eBook | Part of the AI eBook Collection | Only for Institutional Purchase | Publication Year: 2020
Description
Computational Models for Cognitive Vision by Hiranmay Ghosh explores cognitive principles in biological vision and applies them to computer vision tasks such as perceptual grouping, attention, and knowledge-based interpretation. It integrates Bayesian reasoning, deep learning, and cognitive architectures to develop versatile machine vision systems akin to human vision. Applications include computational photography and social robots.
Table of Contents
1 Introduction
2 Early Vision
3 Bayesian Reasoning for Perception and Cognition
4 Late Vision
5 Visual Attention
6 Cognitive Architectures
7 Knowledge Representation for Cognitive Vision
8 Deep Learning for Visual Cognition
9 Applications of Visual Cognition
10 Conclusion