Computer Vision: A Modern Approach / Edition 1

Computer Vision: A Modern Approach / Edition 1

by David A. Forsyth, Jean Ponce
     
 

The accessible presentation of this book gives both a general view of the entire computer vision enterprise and also offers sufficient detail to be able to build useful applications. Users learn techniques that have proven to be useful by first-hand experience and a wide range of mathematical methods. Comprehensive and up-to-date, this book includes

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Overview

The accessible presentation of this book gives both a general view of the entire computer vision enterprise and also offers sufficient detail to be able to build useful applications. Users learn techniques that have proven to be useful by first-hand experience and a wide range of mathematical methods. Comprehensive and up-to-date, this book includes essential topics that either reflect practical significance or are of theoretical importance. Topics are discussed in substantial and increasing depth. Application surveys describe numerous important application areas such as image based rendering and digital libraries. Many important algorithms broken down and illustrated in pseudo code. Appropriate for use by engineers as a comprehensive reference to the computer vision enterprise.

Product Details

ISBN-13:
9780130851987
Publisher:
Prentice Hall Professional Technical Reference
Publication date:
03/01/2002
Edition description:
Older Edition
Pages:
693
Product dimensions:
7.94(w) x 10.29(h) x 1.62(d)

Related Subjects

Meet the Author

David A. Forsyth received the D.Phil. degree in computer science from Oxford University. He is currently a Professor in the Computer Science Division at the University of California at Berkeley. He has co-authored over eighty technical papers on computer vision, computer graphics and machine learning and has co-edited two books.

Jean Ponce received the Ph.D. degree in Computer Science from the University of Paris Orsay. He is currently a Professor in the Department of Computer Science and the Beckman Institute at the University of Illinois at Urbana Champaign. Professor Ponce has written over a hundred conference and journal papers and co-edited two books on a range of subjects including computer vision and robotics.

Table of Contents

Pt. IImage Formation and Image Models1
1Cameras3
2Geometric Camera Models20
3Geometric Camera Calibration38
4Radiometry-Measuring Light55
5Sources, Shadows, and Shading70
6Color97
Pt. IIEarly Vision: Just One Image133
7Linear Filters135
8Edge Detection165
9Texture189
Pt. IIIEarly Vision: Multiple Images213
10The Geometry of Multiple Views215
11Stereopsis234
12Affine Structure from Motion251
13Projective Structure from Motion274
Pt. VMid-Level Vision299
14Segmentation by Clustering301
15Segmentation by Fitting a Model329
16Segmentation and Fitting Using Probabilistic Methods354
17Tracking with Linear Dynamic Models373
Pt. VHigh-Level Vision: Geometric Methods399
18Model-Based Vision401
19Smooth Surfaces and Their Outlines427
20Aspect Graphs444
21Range Data467
Pt. VIHigh-Level Vision: Probabilistic and Inferential Methods493
22Finding Templates Using Classifiers495
23Recognition by Relations Between Templates537
24Geometric Templates from Spatial Relations568
Pt. VIIApplications597
25Application: Finding in Digital Libraries599
26Application: Image-Based Rendering620
Bibliography643
Index673

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