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Computer Vision: Three-Dimensional Data from Images

Computer Vision: Three-Dimensional Data from Images

Computer Vision: Three-Dimensional Data from Images
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Computer Vision: Three-Dimensional Data from Images Paperback - 1998 - 1998th Edition

by Reinhard Klette, Karsten Schluns

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Paperback. As New. UK stocked, available immediately. Trade paperback, published by Springer-Verlag in 1998. A lovely bright copy throughout, with unmarked contents. Illustrated. Minor edge rubbing only. Weight (unpacked) is 772 grams.
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Details

  • Title Computer Vision: Three-Dimensional Data from Images
  • Author Reinhard Klette, Karsten Schluns
  • Binding Paperback
  • Edition number 1998th
  • Edition 1998
  • Condition New
  • Pages 392
  • Volumes 1
  • Language ENG
  • Publisher Springer
  • Publication date 1998-09-01
  • Illustrated Yes
  • Features Illustrated
  • Bookseller's Inventory # sh3xahsg772
  • ISBN 9789813083714 / 9813083719
  • Weight 1.7 lbs (0.77 kg)
  • Dimensions 9.22 x 7.04 x 0.76 in (23.42 x 17.88 x 1.93 cm)
  • Category Computers - General Information
  • Library of Congress Catalogue Number 98013203
  • Dewey Decimal Code 006.37
  • Quantity available 1

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Reader reviews for Computer Vision: Three-Dimensional Data from Images

From the publisher

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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