Advances in Image Understanding A Festschrift

This volume of original papers has been assembled to honor Azriel Rosenfeld, the dominant figure in the field of computer vision and image processing for over 30 years. Over this period he has made many fundamental and pioneering contributions to nearly every area in this field. Azriel Rosenfeld wrote the first textbook in the field (1969) and was founding editor of the first journal (1972). The contributions in this book illustrate the changes that have occurred in dealing with crucial research problems and the methodologies employed to solve them. The 22 papers specifically written for this text are by a handful of researchers who have known and worked with Azriel over the years. These papers address five major themes: image segmentation, feature extraction, 3D shape estimation from 2D images, object recognition, and applications technologies.

Kevin W. Bowyer is the author of "Your Call," an ethics and computing column in Computer magazine, and served as chair of the Social, Ethical, Legal and Professional Issues focus group for the Year 2001 Model Curricula for Computing. He has also led workshops on Teaching Ethics and Computing for undergraduate faculty sponsored by the National Science Foundation. Currently, he is editor in chief of IEEE Transactions on Pattern Analysis and Machine Intelligence and is a member of editorial boards for several other journals. Dr. Bowyer's research interests include image understanding, pattern recognition, and medical image analysis. His research work has been supported by the National Science Foundation, Defense Advanced Research Projects Agency, the Air Force Office of Scientific Research, the Army Medical Research and Material Command, NASA, and other agencies. Presently, Dr. Bowyer is professor of computer science and engineering at the University of South Florida, where he has received numerous distinguished teaching awards. Previously, he was a computer science faculty member at Duke University and the Institute for Informatics at the Swiss Federal Technical Institute in Zurich. Dr. Bowyer is an IEEE Fellow.

Narendra Ahuja is a Research Professor in the Department. of Electrical and Computer Engineering, Beckman Institute, and Coordinated Science Laboratory at University of Illinois at Urbana-Champaign - UIUC -, and the Director of Information Technology Research Academy - ITRA -, a national initiative started by the Department of Electronics and Information Technology, Government of India.

Preface/Introduction

vii

Kevin Bowyer

Narendra Ahuja

Section 1 -- Segmentation of Images into Regions

2

(92)

Texture Segregation in Chromatic Element-Arrangement Patterns

2

(11)

Jacob Beck

Multiresolution GMRF Models for Image Segmentation

13

(15)

Rama Chellappa

Anthana Krishnamachari

Feature Selection for Texture Segmentation

28

(17)

Michael Brady

Zhi-Yan Xie

A Transform for Multiscale Image Segmentation

45

(20)

Narendra Ahuja

Image Segmentation Using Clustering

65

(19)

Anil K. Jain

Patrick J. Flynn

Boundary Encoding Revisited

84

(10)

Herbert Freeman

Section 2 -- Feature Extraction

94

(64)

Optimal Edge Detection in Images

94

(19)

Richard J. Qian

Thomas S. Huang

Metamerism in Complete Sets of Image Operators

113

(17)

Jan J. Koenderink

A. J. van Doorn

Structural Scales in Computational Vision

130

(12)

Steven W. Zucker

Propagating Covariance in Computer Vision

142

(16)

Robert M. Haralick

Section 3 -- 3-D Shape from 2-D images

158

(38)

Improving the Vision of Magic Eyes: A Guide to Better Autostereograms

158

(19)

A. M. Bruckstein

R. Onn

T. J. Richardson

Shape Recovery from Stationary Surface Contours by Controlled Observer Motion

177

(19)

Liangyin Yu

Charles R. Dyer

Section 4 -- Object Recognition

196

(68)

Object Recognition Research: Matched Filtering becomes Bayesian Reasoning

196

(13)

Robert Hummel

Finding and Describing Objects in Complex Images

209

(17)

Michael F. Kelly

Martin D. Levine

Networks that Learn for Image Understanding

226

(15)

Tomaso Poggio

Kah-Kay Sung

A Comparative Study of Three Paradigms for Object Recognition--Bayesian Statistics, Neural Networks, and Expert Systems

241

(23)

J. K. Aggarwal

J. Ghosh

D. Nair

I. Taha

Section 5 -- Computer Vision Technology in Applications

264

(70)

Towards 3-D Model-Based Tracking of Humans in Action

264

(16)

D. M. Gavrila

L. S. Davis

Descriptive and Prescriptive Languages for Mobility Tasks: Are They Different?

280

(21)

R. Bajcsy

H. -H. Nagel

Computer Vision and Visual Information Retrieval

301

(15)

Ramesh Jain

Amarnath Gupta

Object-Based and Image-Based Representations of Objects by their Interiors

316

(18)

Hanan Samet

Section 6 -- Image Understanding in Human and Machine Intelligence

334

(15)

Perceptual Intelligence

334

(15)

Alex Pentland

Author Index

349

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Advances in Image Understanding A Festschrift for Azriel Rosenfeld

Summary

Author Biography

Table of Contents

Supplemental Materials