Face Recognition: From Theory to Applications
Author: Harry Wechsler, P. Jonathon Phillips, Vicki Bruce, Françoise Fogelman Soulié, Thomas S. Huang
Published by Springer Berlin Heidelberg
ISBN: 978-3-642-72203-5
DOI: 10.1007/978-3-642-72201-1
Table of Contents:
- Neural and Psychophysical Analysis of Object and Face Recognition
- Multi-Modal Person Authentication
- Human Face Perception and Identification
- Discriminant Analysis of Principal Components for Face Recognition
- Inductive Principles for Learning from Data
- Phenotypic versus Genotypic Approaches to Face Recognition
- Connectionists Methods for Human Face Processing
- Efficient Focusing and Face Detection
- Face Detection and Recognition
- The Bochum/USC Face Recognition System and How it Fared in the FERET Phase III Test
- Face Recognition Using Deformable Matching
- Beyond Linear Eigenspaces: Bayesian Matching for Face Recognition
- The FERET Evaluation
- Active Vision-based Face Recognition: Issues, Applications and Techniques
- Getting Facial Features and Gestures in 3D
- Generalization to Novel Views from a Single Face Image
- Modular Forensic Architectures
- Eye Detection and Face Recognition Using Evolutionary Computation
- Learning Viewpoint Invariant Face Representations from Visual Experience by Temporal Association
- Visible Speech Perception and Robustness in Face Processing
"Published in cooperation with NATO Scientific Affairs Division."
"Proceedings of the NATO Advanced Study Institute on Face Recognition: From Theory to Applications, held in Stirling, Scotland, UK, June 23-July 4, 1997"--Title page verso
Includes bibliographical references
Electronic reproduction
Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002
digitized
Major topics: Human processing of face recognition and its relevance to forensic systems -- Face coding -- Connectionist methods and support vector machines (SVM) -- Hybrid methods for face recognition -- Predictive learning and performance evaluation
This is the first book on automatic face recognition. Face recognition is a complex and difficult problem that is important for surveillance and security, telecommunications, digital libraries, and human-computer intelligent interactions. The book is based on a NATO Advanced Study Institute held in 1997 at which leading researchers provided a broad overview on face recognition and identified trends for future developments and the means for implementing robust systems. The methods presented are synergetic efforts from the fields signal and image processing, pattern recognition, machine learning, neural networks, psychophysics, and system engineering. The emphasis is on tested methods such as principal component analysis, dynamic link architecture, support vector machines, and video processing
Description based on print version record
