Machine-based Intelligent Face Recognition
Author:   Dengpan Mou
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
ISBN:  

9783642007507


Pages:   188
Publication Date:   March 2010
Format:   Hardback
Availability:   Awaiting stock   Availability explained
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Machine-based Intelligent Face Recognition


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Overview

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.

Full Product Details

Author:   Dengpan Mou
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Dimensions:   Width: 15.60cm , Height: 1.20cm , Length: 23.40cm
Weight:   0.444kg
ISBN:  

9783642007507


ISBN 10:   3642007503
Pages:   188
Publication Date:   March 2010
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Awaiting stock   Availability explained
The supplier is currently out of stock of this item. It will be ordered for you and placed on backorder. Once it does come back in stock, we will ship it out for you.

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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