Handbook of Computer Vision and Applications, Volume 2: Signal Processing and Pattern Recognition - ISBN:0123797721

Handbook of Computer Vision and Applications, Volume 2: Signal Processing and Pattern Recognition

Date: 11 April 2011, 14:24

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This three-volume set is a remarkable collection of articles on computer vision and image processing. Although written by a diverse collection of experts, the chapters have been superbly edited to achieve a coherent presentation, with consistent notation and perspective throughout.
Spanning most areas in the field of computer vision, its applications and its foundations, most of the individual chapters are self-contained. The editors have also added well-written chapters to provide a solid base of introductory material.
Computer vision is an interdisciplinary field of research with many industrial and scientific domains of application. Its foundations are drawn from physics, signal processing, applied mathematics, computer science, electrical engineering, and neuroscience. Applications include mobile robotics, medical image analysis, human-computer interaction, and scientific areas for which computer vision image analysis techniques are becoming a key source of scientific data. Indeed, one of the great strengths of this three-volume set is its focus on both the theoretical foundations of the field and the applications of the techniques.
Volume two introduces the mathematical foundations of image processing and computer vision. These chapters cover many core areas of computer vision research (e.g., multiscale image representation, motion, texture, stereo, shape-from-shading, etc) as well as more recent promising developments (e.g., nonlinear diffusion, robust variational techniques, and Bayesian methods). While this volume may not be appropriate for a course textbook on computer vision, it should provide students with an outstanding resource.
[b]Key Features[/b]
[list][*] Presents an interdisciplinary approach to the basics and the state-of-the-art of computer vision, written in a way that is understandable for a broad audience
[*] Covers modern concepts in computer vision and modern developments of technical imaging sensors
[*] Bridges the gap between theory and practical applications
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