Computational Vision: Information Processing in Perception and Visual Behavior / Edition 2

Computational Vision: Information Processing in Perception and Visual Behavior / Edition 2

by Hanspeter A. Mallot
     
 

ISBN-10: 0262133814

ISBN-13: 9780262133814

Pub. Date: 10/10/2000

Publisher: MIT Press

This text provides an introduction to computational aspects of early vision, in particular, color, stereo, and visual navigation. It integrates approaches from psychophysics and quantitative neurobiology, as well as theories and algorithms from machine vision and photogrammetry. When presenting mathematical material, it uses detailed verbal descriptions and

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Overview

This text provides an introduction to computational aspects of early vision, in particular, color, stereo, and visual navigation. It integrates approaches from psychophysics and quantitative neurobiology, as well as theories and algorithms from machine vision and photogrammetry. When presenting mathematical material, it uses detailed verbal descriptions and illustrations to clarify complex points. The text is suitable for upper-level students in neuroscience, biology, and psychology who have basic mathematical skills and are interested in studying the mathematical modeling of perception.

The MIT Press

Product Details

ISBN-13:
9780262133814
Publisher:
MIT Press
Publication date:
10/10/2000
Series:
Computational Neuroscience
Edition description:
New Edition
Pages:
320
Product dimensions:
7.00(w) x 9.00(h) x 0.90(d)
Age Range:
18 Years

Table of Contents

Preface
I Fundamentals
1 Introduction
1.1 Biological information processing
1.2 Information in images
1.3 Vision as information processing
2 Imaging
2.1 Intensities
2.2 Imaging systems
2.3 Perspective projection
2.4 Eye movements
II Contrast, Form, and Color
3 Representation and processing of images
3.1 Examples
3.2 Sampling
3.3 Image processing
3.4 Resolution
4 Edge detection
4.1 The significance of edges
4.2 Edge detection in one dimension
4.3 Edge detection in two dimensions
5 Color and color constancy
5.1 The color of isolated points of light
5.2 Color in images
III Depth Perception
6 Stereoscopic vision
6.1 Differences between images due to parallax
6.2 Stereoscopic geometry (binocular perspective)
6.3 Stereo algorithms
6.4 Neural networks
6.5 Psychophysics
7 Shape from shading
7.1 Psychophysics
7.2 Problem statement
7.3 One-dimensional "images"
7.4 Shape from shading in two dimensions
8 Texture and surface orientation
8.1 Texture and texture gradients
8.2 Regular patterns: Vanishing points
8.3 Stochastic patterns 1: Density gradient
8.4 Statistical patterns 2: Shape gradient
IV Motion
9 Motion detection
9.1 Problem statement
9.2 The correlation detector
9.3 The gradient detector
9.4 Orientation in the spatio-temporal image
9.5 Second-order motions
10 Optical flow
10.1 Information in the optical flow
10.2 Motion vector for observer motion
10.3 Flow fields for observer motion
10.4 Recovering information from optical flow
11 Visual navigation
11.1 Path integration
11.2 Navigation using landmarks
11.3Constructed environments
11.4 Neurophysiology of spatial memory
V Appendix
Glossary of mathematical terms
Mathematical symbols and units
Author Index
Subject Index

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