Handbook of Face Recognition

Stan Li, Anil K. Jain

400 pages, parution le 02/06/2005

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Résumé

Although the history of computer-aided face recognition stretches back to the 1960s, automatic face recognition remains an unsolved problem and still offers a great challenge to computer-vision and pattern recognition researchers. This handbook is a comprehensive account of face recognition research and technology, written by a group of leading international researchers. Twelve chapters cover all the sub-areas and major components for designing operational face recognition systems. Background, modern techniques, recent results, and challenges and future directions are considered.

The book is aimed at practitioners and professionals planning to work in face recognition or wanting to become familiar with the state-of- the-art technology. A comprehensive handbook, by leading research authorities, on the concepts, methods, and algorithms for automated face detection and recognition. Essential reference resource for researchers and professionals in biometric security, computer vision, and video image analysis.

Written for: Professionals researchers

L'auteur - Anil K. Jain

Michigan State University, East Lansing, MI, USA.

Sommaire

Introduction
Face Detection
Modeling Facial Shape and Appearance
Parametric Face Modeling and Tracking
Illumination Modeling for Face Recognition
Facial Skin Color Modeling
Face recognition in Subspaces
Face Tracking and Recognition from Video
Face Recognition Across Pose and Illumination
Morphable Models of Faces
Facial Expression Analysis
Face Synthesis
Face Databases
Evalution Methods in Face Recognition
Psychological and Neural Perpsectives in Human Face Recognition
Face Recognition Applications
Index

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Caractéristiques techniques

	PAPIER
Éditeur(s)	Springer
Auteur(s)	Stan Li, Anil K. Jain
Parution	02/06/2005
Nb. de pages	400
Format	18 x 24
Couverture	Relié
Poids	915g
Intérieur	Noir et Blanc
EAN13	9780387405957
ISBN13	978-0-387-40595-7