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Unconstrained Face Recognition

By: Shaohua Kevin Zhou,Rama Chellappa,Wenyi Zhao

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Unconstrained Face Recognition

By: Shaohua Kevin Zhou,Rama Chellappa,Wenyi Zhao

Face recognition has been actively studied over the past decade and continues to be a big research challenge. Just recently, researchers have begun to investigate face recognition under unconstrained conditions. Unconstrained Face Recognition provides a comprehensive review of this biometric, especially face recognition from video, assembling a collection of novel approaches that are able to recognize human faces under various unconstrained situations. The underlying basis of these approaches is that, unlike conventional face recognition algorithms, they exploit the inherent characteristics of the unconstrained situation and thus improve the recognition performance when compared with conventional algorithms. Unconstrained Face Recognition is structured to meet the needs of a professional audience of researchers and practitioners in industry. This volume is also suitable for advanced-level students in computer science.

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Page Count

244

Publisher

Springer Science & Business Media

Published Date

ISBN 10

0387294864

ISBN 13

9780387294865

Unconstrained Face Recognition

By: Shaohua Kevin Zhou,Ramalingam Chellappa,Wenyi Zhao

Write a review Read reviews Take a Quiz Solve Book Puzzle

Unconstrained Face Recognition

By: Shaohua Kevin Zhou,Ramalingam Chellappa,Wenyi Zhao

Face recognition has been actively studied over the past decade and continues to be a big research challenge. Just recently, researchers have begun to investigate face recognition under unconstrained conditions. Unconstrained Face Recognition provides a comprehensive review of this biometric, especially face recognition from video, assembling a collection of novel approaches that are able to recognize human faces under various unconstrained situations. The underlying basis of these approaches is that, unlike conventional face recognition algorithms, they exploit the inherent characteristics of the unconstrained situation and thus improve the recognition performance when compared with conventional algorithms. Unconstrained Face Recognition is structured to meet the needs of a professional audience of researchers and practitioners in industry. This volume is also suitable for advanced-level students in computer science.

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Age

Page Count

264

Publisher

Springer Science & Business Media

Published Date

ISBN 10

0387264078

ISBN 13

9780387264073