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State of the Art in Face Recognition
Edited by Julio Ponce and Adem Karahoca, ISBN 978-3-902613-42-4, Hard cover, 436 pages, Publisher: I-Tech Education and Publishing, Published: January 01, 2009 under CC BY-NC-SA 3.0 license, in subject Artificial Intelligence
Notwithstanding the tremendous effort to solve the face recognition problem, it is not possible yet to design a face recognition system with a potential close to human performance. New computer vision and pattern recognition approaches need to be investigated. Even new knowledge and perspectives from different fields like, psychology and neuroscience must be incorporated into the current field of face recognition to design a robust face recognition system. Indeed, many more efforts are required to end up with a human like face recognition system. This book tries to make an effort to reduce the gap between the previous face recognition research state and the future state.
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Book contents
- Chapter 1Trends in Nearest Feature Classification for Face RecognitionAchievements and Perspectives
- Chapter 2Subspace Methods for Face Recognition: Singularity, Regularization, and Robustness
- Chapter 3A Multi-Stage Classifier for Face Recognition Undertaken by Coarse-to-fine Strategy
- Chapter 4PCA-ANN Face Recognition System based on Photometric Normalization Techniques
- Chapter 5Online Incremental Face Recognition System Using Eigenface Feature and Neural Classifier
- Chapter 6High Speed Holographic Optical Correlator for Face Recognition
- Chapter 73D Face Mesh Modeling for 3D Face Recognition
- Chapter 8Occlusions in Face Recognition: a 3D Approach
- Chapter 9A Model-based Approach for Combined Tracking and Resolution Enhancement of Faces in Low Resolution Video
- Chapter 10Face Recognition Based on Human Visual Perception Theories and Unsupervised ANN
- Chapter 11Gender Classification by Information Fusion of Hair and Face
- Chapter 12Emotion Modelling and Facial Affect Recognition in Human-Computer and Human-Robot Interaction
