Adaptive Biometric Systems / Advances in Computer Vision and Pattern Recognition (PDF)

Name: Adaptive Biometric Systems / Advances in Computer Vision and Pattern Recognition
Brand: Springer-Verlag GmbH
SKU: 72021124
Price: 53.49 EUR
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Recent Advances and Challenges (Sprache: Englisch)

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This timely and interdisciplinary volume presents a detailed overview of the latest advances and challenges remaining in the field of adaptive biometric systems. A broad range of techniques are provided from an international selection of pre-eminent authorities, collected together under a unified taxonomy and designed to be applicable to any pattern recognition system.

Topics and features:

Presents a thorough introduction to the concept of adaptive biometric systems, detailing their taxonomy, levels of adaptation, and open issues and challenges
Reviews systems for adaptive face recognition that perform self-updating of facial models using operational (unlabeled) data
Describes a novel semi-supervised training strategy known as fusion-based co-training
Examines the characterization and recognition of human gestures in videos
Discusses a selection of learning techniques that can be applied to build an adaptive biometric system
Investigates procedures for handling temporal variance in facial biometrics due to aging

Proposes a score-level fusion scheme for an adaptive multimodal biometric system

This comprehensive text/reference will be of great interest to researchers and practitioners engaged in systems science, information security or biometrics. Postgraduate and final-year undergraduate

students of computer engineering will also appreciate the coverage of intelligent and adaptive schemes for cutting-edge pattern recognition and signal processing in changing environments.

Autoren-Porträt

Dr. Ajita Rattani is a post-doctoral fellow in the Integrated Pattern Recognition and Biometrics (i-PRoBe) lab at Michigan State University, East Lansing, MI, USA. Dr. Fabio Roli is a professor of computer engineering and the Director of the Pattern Recognition and Applications (PRA) lab at the University of Cagliari, Italy. Dr. Eric Granger is a professor in the Department of Automated Manufacturing Engineering and the Director of the Laboratory for Imagery, Vision and Artificial Intelligence at the École de technologie supérieure (ÉTS), Montréal, QC, Canada.

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Bibliographische Angaben

2015, 1st ed. 2015, 134 Seiten, Englisch
Herausgegeben: Ajita Rattani, Fabio Roli, Eric Granger
Verlag: Springer-Verlag GmbH
ISBN-10: 3319248650
ISBN-13: 9783319248653
Erscheinungsdatum: 22.10.2015

Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.

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Dateiformat: PDF
Größe: 3.95 MB
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Englisch

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