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Computer Science - Artificial Intelligence | Computer Vision - Three-Dimensional Data from Images

Computer Vision

Three-Dimensional Data from Images

Klette, Reinhard, Schluns, Karsten, Koschan, Andreas

Originally published in German by Vieweg, 1996

1998, XIII, 392 pp.


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  • About this textbook

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.

Content Level » Graduate

Keywords » HOL_0654

Related subjects » Artificial Intelligence - Image Processing

Table of contents 

Preface.- Symbols.- Introduction.- Image Acquisition.- Geometry of Object Surfaces.- Static Stereo Analysis.- Dynamic Stereo.- Surface Reflection.- Shape from Shading.- Photometric Stereo Analysis.- Structured Illumination.- Index.- List of Algorithms.- Appendix: Color Images.

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