An Introduction to 3D Computer Vision Techniques and Algorithms

✍ Scribed by Boguslaw Cyganek, J. Paul Siebert

Publisher: J. Wiley & Sons
Year: 2009
Tongue: English
Leaves: 502
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

Although Hartley's book offers a deeper perspective on stereo 3D reconstruction, it is also aimed at an audience with a higher knowledge on this area, both mathematically and conceptually.
This book on the other hand offers a more simplistic solution but it also offers a good review on disparity and point correspondence estimation, which on Hartley's book is barely covered.
As each of theese books offfers a slightly different point of view on the matter, I suggest having both as good references on the subject.

✦ Table of Contents

Contents......Page 6
Preface......Page 14
Notation and Abbreviations......Page 17
1 - Introduction......Page 28
2 - Brief History of Research on Vision......Page 33
3 - 2D and 3D Vision Formation......Page 40
4 - Low-level Image Processing for Image Matching......Page 118
5 - Scale-space Vision......Page 188
6 - Image Matching Algorithms......Page 216
7 - Space Reconstruction and Multiview Integration......Page 346
8 - Case Examples......Page 366
9 - Basics of the Projective Geometry......Page 399
10 - Basics of Tensor Calculus for Image Processing......Page 412
11 - Distortions and Noise in Images......Page 423
12 - Image Warping Procedures......Page 429
13 - Programming Techniques for Image Processing and Computer Vision......Page 449
14 - Image Processing Library......Page 477
References......Page 478
Index......Page 494

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