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Computer Vision

Three-Dimensional Data from Images

  • Textbook
  • © 1998

Overview

  • A well-balanced textbook with theoretical foundations and algorithms * contains many hints on how to apply the discussed approaches * theoretical and applied excercises accompany each chapter

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Keywords

About this book

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.

Authors and Affiliations

  • University of Auckland Dept. Computer Science, Auckland, New Zealand

    Reinhard Klette

Bibliographic Information

  • Book Title: Computer Vision

  • Book Subtitle: Three-Dimensional Data from Images

  • Authors: Reinhard Klette, Karsten Schluns, Andreas Koschan

  • Publisher: Springer Singapore

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag Singapore 1998

  • Softcover ISBN: 978-981-3083-71-4Published: 01 September 1998

  • Edition Number: 1

  • Number of Pages: XIV, 392

  • Additional Information: Originally published in German by Vieweg, 1996

  • Topics: Artificial Intelligence, Image Processing and Computer Vision

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