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Unconstrained Face Recognition cover

Unconstrained Face Recognition

by Shaohua Kevin Zhou, Ramalingam Chellappa, Wenyi Zhao

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About this book

<p>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.</p> <p>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. </p>

Details

Format
Hardcover
Pages
244
Publisher
Springer Science & Business Media
Language
EN
Edition
2006
ISBN-13
9780387264073
ISBN-10
0387264078

Categories

Computers, Computer Vision & Pattern Recognition, Computer Graphics, Security