Computer Vision - Three-Dimensional Data from Images (Paperback, 1998 ed.)

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.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Release date:	September 1998
First published:	1998
Authors:	Reinhard Klette • Karsten Schluns • Andreas Koschan
Dimensions:	244 x 170 x 21mm (L x W x T)
Format:	Paperback
Pages:	392
Edition:	1998 ed.
ISBN-13:	978-981-3083-71-4
Categories:	Books > Computing & IT > Applications of computing > Artificial intelligence > Computer vision
LSN:	981-3083-71-9
Barcode:	9789813083714

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