Introductory Techniques for 3-D Computer Vision

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Prentice Hall, 1998 - Computers - 343 pages
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Senior/Graduate level courses on computer vision, robot vision and image processing in electrical and computer engineering, mathematics, and computer science departments, and an essential reference for researchers and scientists in the field of computer vision. An applied introduction to modern computer vision, focusing on a set of computational techniques for 3-D imaging. Covers a wide range of fundamental problems encountered within computer vision and provides detailed algorithmic and theoretical solutions for each. Each chapter concentrates on a specific problem and solves it by building on previous results.

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Contents

Introduction
1
Digital Snapshots
15
Dealing with Image Noise
51
Copyright

10 other sections not shown

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About the author (1998)

Trucco of Heriot-Watt University

Verri of the University of Genoa

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