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" Robust Computer Vision : "
by Nicu Sebe, Michael S. Lew.
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BL
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| Record Number
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776558
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b596555
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| Main Entry
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by Nicu Sebe, Michael S. Lew.
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| Title & Author
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Robust Computer Vision : : Theory and Applications\ by Nicu Sebe, Michael S. Lew.
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| Publication Statement
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Dordrecht : Springer Netherlands : Imprint : Springer, 2003
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| Series Statement
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Computational imaging and vision, 26.
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| ISBN
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9048162904
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: 9401702950
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: 9789048162901
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: 9789401702959
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| Contents
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1. Introduction --; 2. Maximum Likelihood Framework --; 3. Color Based Retrieval --; 4. Robust Texture Analysis --; 5. Shape Based Retrieval --; 6. Robust Stereo Matching and Motion Tracking --; 7. Facial Expression Recognition --; References.
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| Abstract
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From the foreword by Thomas Huang: "During the past decade, researchers in computer vision have found that probabilistic machine learning methods are extremely powerful. This book describes some of these methods. In addition to the Maximum Likelihood framework, Bayesian Networks, and Hidden Markov models are also used. Three aspects are stressed: features, similarity metric, and models. Many interesting and important new results, based on research by the authors and their collaborators, are presented. Although this book contains many new results, it is written in a style that suits both experts and novices in computer vision."
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| Subject
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Computer science.
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Data structures (Computer science)
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Information storage and retrieval systems.
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| LC Classification
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TA1634.B965 2003
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| Added Entry
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Michael S Lew
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Nicu Sebe
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