Unconstrained Face Recognition
Author:   Shaohua Kevin Zhou ,  Rama Chellappa ,  Wenyi Zhao
Publisher:   Springer-Verlag New York Inc.
Edition:   Softcover reprint of hardcover 1st ed. 2006
Volume:   5
ISBN:  

9781441938909


Pages:   244
Publication Date:   29 November 2010
Format:   Paperback
Availability:   Out of print, replaced by POD   Availability explained
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Unconstrained Face Recognition


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Overview

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.

Full Product Details

Author:   Shaohua Kevin Zhou ,  Rama Chellappa ,  Wenyi Zhao
Publisher:   Springer-Verlag New York Inc.
Imprint:   Springer-Verlag New York Inc.
Edition:   Softcover reprint of hardcover 1st ed. 2006
Volume:   5
Dimensions:   Width: 15.50cm , Height: 1.30cm , Length: 23.50cm
Weight:   0.454kg
ISBN:  

9781441938909


ISBN 10:   1441938907
Pages:   244
Publication Date:   29 November 2010
Audience:   Professional and scholarly ,  Professional and scholarly ,  Professional & Vocational ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Out of print, replaced by POD   Availability explained
We will order this item for you from a manufatured on demand supplier.

Table of Contents

Fundamentals, Preliminaries and Reviews.- Fundamentals.- Preliminaries and Reviews.- Face Recognition Under Variations.- Symmetric Shape from Shading.- Generalized Photometric Stereo.- Illuminating Light Field.- Facial Aging.- Face Recognition Via Kernel Learning.- Probabilistic Distances in Reproducing Kernel Hilbert Space.- Matrix-Based Kernel Subspace Analysis.- Face Tracking and Recognition from Videos.- Adaptive Visual Tracking.- Simultaneous Tracking and Recognition.- Probabilistic Identity Characterization.- Summary and Future Research Directions.- Summary and Future Research Directions.

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