Overview
- Discusses the general engineering methods for imitating intelligent human brains for video-based face recognition that is completely unsupervised, self-adaptive and robust
- All cues are combined together
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Table of contents (9 chapters)
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Front Matter
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Back Matter
Keywords
About this book
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.
Reviews
From the reviews:
“The aim of this book is to describe how one might construct an ideal face recognition system that is completely automatic; unsupervised; noninvasive, in the sense that no special requirements for poses or lighting are required; and robust, so that it works in an unconstrained environment, and manages pose shifts, occlusion, and lighting changes. … The book performs a valuable service by gathering together an overview of face recognition, including comprehensive bibliographies at the end of each chapter.” (J. P. E. Hodgson, ACM Computing Reviews, August, 2011)
Authors and Affiliations
Bibliographic Information
Book Title: Machine-based Intelligent Face Recognition
Authors: Dengpan Mou
DOI: https://doi.org/10.1007/978-3-642-00751-4
Publisher: Springer Berlin, Heidelberg
Copyright Information: Springer-Verlag Berlin Heidelberg 2010
Edition Number: 1
Number of Pages: 200
Number of Illustrations: 58 b/w illustrations, 12 illustrations in colour
Additional Information: Jointly published with Higher Education Press
Topics: Biometrics, Computer Imaging, Vision, Pattern Recognition and Graphics, Artificial Intelligence