Handbook of Face Recognition

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.

• Computer Vision
• Face detection
• Face synthesis
• Face tracking
• Illumination modeling
• KLTcatalog
• Parametric modeling
• algorithms
• cognition
• image analysis
• pattern recognition

From the reviews:

"This book describes recent research in areas of interest to face recognition researchers. … The authors give readers an in-depth overview of the history of face recognition and compare various approaches … . The book covers all major components and subareas of designing operational face recognition systems. … I highly recommend this book to anyone interested in learning more about the field of face recognition. … you will gain some interesting insight into the history and the very latest in face recognition research." (Markus Burki, Computing Reviews, April, 2006)

• Center for Biometrics Research and Testing & National Lab of Pattern Recognition Institute of Automation, Chinese Academy of Sciences, Beijing, China

  Stan Z. Li

• Department of Computer Science & Engineering, Michigan State University, East Lansing, USA

  Anil K. Jain

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