Computer Vision

Three-Dimensional Data from Images

By: Reinhard Klette, Karsten Achluns, Karsten Schluns

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Paperback | 1 October 2008

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408 Pages

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22.86 x 17.78 x 1.91

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This computer vision textbook describes the reconstruction of object surfaces and the analysis of distances between camera and objects. Main topics are static and dynamic stereo analysis, shape from shading, photometric stereo analysis, and structured illumination. The selected procedures, e.g., complex algorithms as Tsai calibration, Frankot-Chellapa depth map generation, or Lee-Rosenfield shape from shading, are discussed at a detailed level such that implementations can follow the given descriptions. Fundamentals are given for these application oriented approaches with respect to camera modeling and calibration, to geometric surface modeling, and to surface reflectance models. New research and laboratory results in shape reconstruction and depth analysis, e.g., based on color images have been included. The text is suitable for graduate courses in computer science, in several engineering disciplines, or in applied mathematics. Theoretical and applied excercises accompany each chapter.

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Non-Fiction Computing & I.T.Computer Science Image Processing Artificial Intelligence Computer Vision Graphical & Digital Media Applications Computer Programming & Software Development Program Concepts & Learning to Program

Preface
Symbols
Introduction	p. 1
Image Acquisition	p. 43
Geometry of Object Surfaces	p. 81
Static Stereo Analysis	p. 129
Dynamic Stereo Analysis	p. 177
Reflection Models	p. 227
Shape from Shading	p. 263
Photometric Stereo	p. 301
Structured Lighting	p. 347
Appendix: Color Images	p. 377
List of Algorithms	p. 381
Index	p. 383
Table of Contents provided by Blackwell. All Rights Reserved.

Computer Vision

Three-Dimensional Data from Images

At a Glance

Paperback

Shipping

How to return your order

Defective items

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