Adaptive Biometric Systems

Recent Advances and Challenges

AvAjita Rattani,Fabio Roli

Häftad, Engelska, 2016

Del i serien Advances in Computer Vision and Pattern Recognition

536 kr

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Beskrivning

This interdisciplinary volume presents a detailed overview of the latest advances and challenges remaining in the field of adaptive biometric systems. reviews systems for adaptive face recognition that perform self-updating of facial models using operational (unlabeled) data;

Produktinformation

Utgivningsdatum:2016-08-23
Mått:155 x 235 x 9 mm
Vikt:230 g
Format:Häftad
Språk:Engelska
Serie:Advances in Computer Vision and Pattern Recognition
Antal sidor:134
Förlag:Springer International Publishing AG
ISBN:9783319372228

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Mer om författaren

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.

Innehållsförteckning

Introduction to Adaptive Biometric Systems.- Context-Sensitive Self-Updating for Adaptive Face Recognition.- Handling Session Mismatch by Semi-Supervised Based Co-Training Scheme.- A Hybrid CRF/HMM for One-Shot Gesture Learning.- An Online Learning-Based Adaptive Biometric System.- Adaptive Facial Recognition Under Aging Effect.- An Adaptive Score Level Fusion Scheme for Multimodal Biometric Systems.

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