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, John S. Allen
     
 

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

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.

Product Details

ISBN-13:
9780262133814
Publisher:
MIT Press
Publication date:
10/10/2000
Series:
Computational Neuroscience Series
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 xi
I Fundamentals 1(46)
Introduction
3(13)
Biological information processing
3(4)
Information in images
7(6)
Vision as information processing
13(3)
Imaging
16(31)
Intensities
16(8)
Imaging systems
24(7)
Perspective projection
31(10)
Eye movements
41(6)
II Contrast, Form, and Color 47(72)
Representation and processing of images
49(24)
Examples
50(1)
Sampling
51(6)
Image processing
57(8)
Resolution
65(8)
Edge detection
73(21)
The significance of edges
73(5)
Edge detection in one dimension
78(10)
Edge detection in two dimensions
88(6)
Color and color constancy
94(25)
The color of isolated points of light
95(15)
Color in images
110(9)
III Depth Perception 119(58)
Stereoscopic vision
121(25)
Differences between images due to parallax
121(3)
Stereoscopic geometry (binocular perspective)
124(9)
Stereo algorithms
133(8)
Neural networks
141(1)
Psychophysics
142(4)
Shape from shading
146(16)
Psychophysics
147(2)
Problem statement
149(5)
One-dimensional "images"
154(3)
Shape from shading in two dimensions
157(5)
Texture and surface orientation
162(15)
Texture and texture gradients
162(1)
Regular patterns: Vanishing points
163(3)
Stochastic patterns 1: Density gradient
166(4)
Statistical patterns 2: Shape gradient
170(7)
IV Motion 177(66)
Motion detection
179(21)
Problem statement
179(4)
The correlation detector
183(6)
The gradient detector
189(6)
Orientation in the spatio-temporal image
195(3)
Second-order motions
198(2)
Optical flow
200(24)
Information in the optical flow
200(1)
Motion vector fields
201(5)
Flow fields for observer motion
206(12)
Recovering information from optical flow
218(6)
Visual navigation
224(19)
Path integration
224(4)
Navigation using landmarks
228(8)
Constructed environments
236(5)
Neurophysiology of spatial memory
241(2)
V Appendix 243(2)
Glossary of mathematical terms 245(18)
Mathematical symbols and units 263(2)
Bibliography 265(21)
Author Index 286(6)
Subject Index 292

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