
Computer Vision
Three-Dimensional Data from Images
Springer (Publisher)
Published on 1. September 1998
Book
Paperback/Softback
XIV, 392 pages
978-981-3083-71-4 (ISBN)
Description
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.
More details
Edition
1998 ed.
Language
English
Place of publication
Singapore
Singapore
Target group
Primary & secondary/elementary & high school
Graduate
Illustrations
XIV, 392 p.
Dimensions
Height: 244 mm
Width: 170 mm
Thickness: 26 mm
Weight
786 gr
ISBN-13
978-981-3083-71-4 (9789813083714)
DOI
10.1007/b73889
Schweitzer Classification
Content
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.