Computer Vision: Three-Dimensional Data from Images

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Springer Singapore, Sep 1, 1998 - Computers - 392 pages
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This book explores computer vision, describing the reconstruction of object surfaces and the analysis of distances between camera and objects. Fundamentals and algorithms are presented, including topics such as dynamic stereo analysis, shape from shading, photometric stereo analysis, and structural illumination. New research results in shape reconstruction and depth analysis are also included.

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Contents

Image Acquisition
43
Geometry of Object Surfaces
81
Static Stereo Analysis
129
Copyright

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About the author (1998)

Klette from the University of Auckland, New Zealand

Schluns from the University of Auckland, New Zealand

Andreas Koschan, PhD, is a Research Associate Professor with the Department of Electrical Engineering and Computer Science, University of Tennessee. His research interests include three-dimensional computer vision and, in particular, shape recovery using binocular stereo vision and laser range-finding techniques. He is also interested in the utilization of color information in digital image processing. He is the coauthor of three other books.

Mongi Abidi, PhD, is a Professor and Associate Head in the Department of Electrical Engineering and Computer Science, University of Tennessee. Dr. Abidi directs activities in the Imaging, Robotics, and Intelligent Systems Laboratory, and conducts research in the field of three-dimensional imaging, specifically in the areas of scene building, scene description, and data visualization.

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