Face Recognition

 

 

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.

 

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• Chapter 1  Image Compression in Face Recognition - a Literature Surveyby Kresimir Delac, Sonja Grgic and Mislav Grgic
• Chapter 2  New Parallel Models for Face Recognitionby Heng Fui Liau, Kah Phooi Seng, Li-Minn Ang and Siew Wen Chin
• Chapter 3  Robust Face Recognition System Based on a Multi-Views Face Databaseby Dominique Ginhac, Fan Yang, Xiaojuan Liu, Jianwu Dang and Michel Paindavoine
• Chapter 4  Face Recognition by Discriminative Orthogonal Rank-one Tensor Decompositionby Gang Hua
• Chapter 5  Intelligent Local Face Recognitionby Adnan Khashman
• Chapter 6  Generating Optimal Face Image in Face Recognition Systemby Yingchun Li, Guangda Su and Yan Shang
• Chapter 7  Multiresolution Methods in Face Recognitionby Angshul Majumdar, and Rabab K. Ward
• Chapter 8  Illumination Normalization using Quotient Image-based Techniquesby Masashi Nishiyama, Tatsuo Kozakaya and Osamu Yamaguchi
• Chapter 9  Liveness Detection for Face Recognitionby Gang Pan, Zhaohui Wu and Lin Sun
• Chapter 10  2D-3D Mixed Face Recognition Schemesby Antonio Rama Calvo, Francesc Tarrés Ruiz, Jürgen Rurainsky and Peter Eisert
• Chapter 11  Recognizing Face Images with Disguise Variationsby Richa Singh, Mayank Vatsa and Afzel Noore
• Chapter 12  Discriminant Subspace Analysis for Uncertain Situation in Facial Recognitionby Pohsiang Tsai, Tich Phuoc Tran, Tom Hintz and Tony Jan
• Chapter 13  Blood Perfusion Models for Infrared Face Recognitionby Shiqian Wu, Zhi-Jun Fang, Zhi-Hua Xie and Wei Liang
• Chapter 14  Discriminating Color Faces For Recognitionby Jian Yang, Chengjun Liu and Jingyu Yang
• Chapter 15  A Novel Approach to Using Color Information in Improving Face Recognition Systems Based on Multi-Layer Neural Networksby Khalid Youssef and Peng-Yung Woo