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Item Details
| Title:
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UNCONSTRAINED FACE RECOGNITION
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| By: |
Shaohua Kevin Zhou, Dr. Rama Chellappa, Wenyi Zhao |
| Format: |
Hardback |
| List price:
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£119.99 |
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We currently do not stock this item, please contact the publisher directly for
further information.
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| ISBN 10: |
0387264078 |
| ISBN 13: |
9780387264073 |
| Publisher: |
SPRINGER-VERLAG NEW YORK INC. |
| Pub. date: |
1 November, 2005 |
| Edition: |
2006 ed. |
| Series: |
International Series on Biometrics 5 |
| Pages: |
244 |
| Description: |
Face recognition has been actively studied over years. This work provides a comprehensive review of this biometric, especially face recognition from video, assembling a collection of various approaches that are able to recognize human faces under various unconstrained situations. It is useful for researchers and practitioners in the industry. |
| Synopsis: |
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. |
| Illustrations: |
10 Tables, black and white; 20 Illustrations, black and white; XII, 244 p. |
| Publication: |
US |
| Imprint: |
Springer-Verlag New York Inc. |
| Returns: |
Returnable |
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