Wechsler Computational Vision

1. Auflage 2014
ISBN: 978-1-4832-9459-9
Verlag: Elsevier Science & Techn.
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 576 Seiten, Web PDF

The book is suitable for advanced courses in computer vision and image processing. In addition to providing an overall view of computational vision, it contains extensive material on topics that are not usually covered in computer vision texts (including parallel distributed processing and neural networks) and considers many real applications.

Autoren/Hrsg.

Wechsler, Harry

Inhaltsverzeichnis

1;Front Cover;1
2;Computational Vision;4
3;Copyright Page;5
4;Table of Contents;10
5;Dedication;6
6;Introduction;14
7;Chapter 1. Computational Complexity;20
7.1;1.1. Computation;22
7.2;1.2. Probabilistic Computation;31
7.3;1.3. Parallel Computation;33
7.4;1.4. Conclusions;36
8;Chapter 2. Distributed and Multiscale Representations;38
8.1;2.1. Frequency Analysis;40
8.2;2.2. Scale Space;50
8.3;2.3. Cojoint Spatial/Spatial-Frequency Representations;67
8.4;2.4. Texture Analysis;104
8.5;2.5. Conclusions;112
9;Chapter 3. Invariance;114
9.1;3.1. Geometrical Invariance;116
9.2;3.2. Statistical Invariance;151
9.3;3.3. Algebraic Invariance;165
9.4;3.4. Conclusions;177
10;Chapter 4. Parallel and Distributed Processing;180
10.1;4.1. Artificial Neural Systems;181
10.2;4.2. PDP Models and Physical Systems;202
10.3;4.3. Conclusions;230
11;Chapter 5. Intrinsic Representations;232
11.1;5.1. Psychophysical Images;234
11.2;5.2. Artificial Images;261
11.3;5.3. Ethological Images;265
11.4;5.4. Conclusions;265
12;Chapter 6. Active Perception;268
12.1;6.1. Dynamic Vision;270
12.2;6.2. Ecological Optics;279
12.3;6.3. Motion Interpretation;292
12.4;6.4. Navigation;305
12.5;6.5. Structured Light;311
12.6;6.6. Conclusions;319
13;Chapter 7. Object Recognition;322
13.1;7.1. Human Recognition;323
13.2;7.2. Two-dimensional Object Recognition;328
13.3;7.3. Three-dimensional Object Recognition;344
13.4;7.4. Perceptual Modeling;366
13.5;7.5. Parallel Distributed Computation;371
13.6;7.6. Conclusions;383
14;Chapter 8. Intelligent Systems;386
14.1;8.1. Artificial Intelligence;11
14.2;8.2. Spatial Reasoning;408
14.3;8.3. Data Fusion;425
14.4;8.4. Learning;440
14.5;8.5. Conclusions;479
15;CHapter 9. Parallel Hardware Architectures;482
15.1;9.1. Network Topology and Data Communications;483
15.2;9.2. Pipelining;487
15.3;9.3. Single Instruction Multiple Data (SIMD);494
15.4;9.4. Multiple Instructions Multiple Data (MIMD);499
15.5;9.5. Data-Driven Computation;504
15.6;9.6. Conclusions;509
16;Chapter 10. Epilogue;512
16.1;10.1. Plastic Arts;512
16.2;10.2. How Direct Is Perception?;517
16.3;10.3. Conclusions;521
17;References;526
18;Author Index;562
19;Subject Index;570