Computer Vision: Three-Dimensional Data from Images / Edition 1

by Reinhard Klette, Karsten Schluns, Andreas Koschan

Overview

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.

Product Details

ISBN-13:	9789813083714
Publisher:	Springer Nature Singapore
Publication date:	09/18/1998
Edition description:	1998
Pages:	392
Product dimensions:	6.69(w) x 9.61(h) x 0.03(d)

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.