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Adaptive Biometric Systems

Recent Advances and Challenges
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Paru le : 2015-10-22

This 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 ...
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Description du livre


This 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. Features: presents a thorough introduction to the concept of adaptive biometric systems; 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.

À propos

Auteur
Eric Granger , Ajita Rattani , Fabio Roli
Éditeur
Springer
Collection
Advances in Computer Vision and Pattern Recognition
Parution
2015-10-22
Pages
134 pages
EAN papier
9783319248639

Caractéristiques détaillées - droits

EAN PDF
9783319248653
Prix
52,74 €
Nombre pages copiables
1
Nombre pages imprimables
13
Taille du fichier
4045 Ko
Ce livre est accessible aux handicaps informations d'accessibilité
EAN EPUB
9783319248653
Prix
52,74 €
Nombre pages copiables
1
Nombre pages imprimables
13
Taille du fichier
2232 Ko
Ce livre est accessible aux handicaps informations d'accessibilité

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