Adaptive Biometric Systems: Recent Advances and Challenges (Advances in Computer Vision and Pattern Recognition)

Rattani, Ajita (Editor) / Roli, Fabio (Editor) / Granger, Eric (Editor)

ISBN 10: 331937222X / ISBN 13: 9783319372228

Verlag: Springer, 2016

Beschreibung

reprint edition. 134 pages. 9.25x6.10x0.34 inches. In Stock.

Bestandsnummer des Verkäufers x-331937222X

Bibliografische Details

• Titel: Adaptive Biometric Systems: Recent Advances and Challenges (Advances in Computer Vision and Pattern Recognition)
• Verlag: Springer
• Erscheinungsjahr: 2016
• Sprache: Englisch
• ISBN-10: 331937222X
• ISBN-13: 9783319372228
• Einband: Paperback
• Zustand: Brand New
• Gewicht: 2,3 Kilogramm

Über diesen Titel

Inhaltsangabe

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.

Über die Autorin bzw. den Autor

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.