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Machine-Based Intelligent Face Recognition
Synopses & Reviews
Machine-based Intelligent Face Recognition discusses the general engineering method of imitating intelligent human brains for video-based face recognition in a fundamental way, which is completely unsupervised, automatic, self-learning, self-updated and robust. It also overviews state-of-the-art research on cognitive-based biometrics and machine-based biometrics, and especially the advances in face recognition. This book is intended for scientists, researchers, engineers, and students in the field of computer vision, machine intelligence, and particularly of face recognition. Dr. Dengpan Mou, Dr.-Ing. and MSc from University of Ulm, Germany, is with Harman/Becker Automotive Systems GmbH, working on video processing, computer vision and machine learning research and development topics.
This book discusses the general engineering method of imitating intelligent human brains for video-based face recognition in a fundamental way. It overviews state-of-the-art research on this subject, and especially the advances in face recognition.
Table of Contents
Introduction.- Fundamentals and Advances in Biometrics and Face Recognition.- Combined Face Detection and Tracking Methods.- Automatic Face Recognition.- Unsupervised Face Database Construction.- State Machine Based Automatic Procedure.- System Implementation.- Performance Analysis.- Conclusions and Future Directions.-
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