The main idea and the driver of further research in the area of face recognition are security applications and human-computer interaction. Face recognition represents an intuitive and non-intrusive method of recognizing people and this is why it became one of three identification methods used in e-passports and a biometric of choice for many other security applications. This goal of this book is to provide the reader with the most up to date research performed in automatic face recognition. The chapters presented use innovative approaches to deal with a wide variety of unsolved issues.
Publication date: December 2008
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Table of Contents
01 |
Image Compression in Face Recognition – a Literature Survey
Kresimir Delac, Sonja Grgic and Mislav Grgic |
02 |
New Parallel Models for Face Recognition
Heng Fui Liau, Kah Phooi Seng, Li-Minn Ang and Siew Wen Chin |
03 |
Robust Face Recognition System Based on a Multi-Views Face Database
Dominique Ginhac, Fan Yang, Xiaojuan Liu, Jianwu Dang and Michel Paindavoine |
04 |
Face Recognition by Discriminative Orthogonal Rank-one Tensor Decomposition
Gang Hua |
05 |
Intelligent Local Face Recognition
Adnan Khashman |
06 |
Generating Optimal Face Image in Face Recognition System
Yingchun Li, Guangda Su and Yan Shang |
07 |
Multiresolution Methods in Face Recognition
Angshul Majumdar, and Rabab K. Ward |
08 |
Illumination Normalization using Quotient Image-based Techniques
Masashi Nishiyama, Tatsuo Kozakaya and Osamu Yamaguchi |
09 |
Liveness Detection for Face Recognition
Gang Pan, Zhaohui Wu and Lin Sun |
10 |
2D-3D Mixed Face Recognition Schemes
Antonio Rama Calvo, Francesc Tarrés Ruiz, Jürgen Rurainsky and Peter Eisert |
11 |
Recognizing Face Images with Disguise Variations
Richa Singh, Mayank Vatsa and Afzel Noore |
12 |
Discriminant Subspace Analysis for Uncertain Situation in Facial Recognition
Pohsiang Tsai, Tich Phuoc Tran, Tom Hintz and Tony Jan |
13 |
Blood Perfusion Models for Infrared Face Recognition
Shiqian Wu, Zhi-Jun Fang, Zhi-Hua Xie and Wei Liang |
14 |
Discriminating Color Faces For Recognition
Jian Yang, Chengjun Liu and Jingyu Yang |
15 |
A Novel Approach to Using Color Information in Improving Face Recognition Systems Based on Multi-Layer Neural Networks
Khalid Youssef and Peng-Yung Woo |
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