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Table of contents

  1. Front Matter
    Pages I-XV
  2. Dengpan Mou
    Pages 1-11
  3. Dengpan Mou
    Pages 91-106
  4. Dengpan Mou
    Pages 107-124
  5. Dengpan Mou
    Pages 125-128
  6. Dengpan Mou
    Pages 129-139
  7. Dengpan Mou
    Pages 141-162
  8. Dengpan Mou
    Pages 163-164
  9. Back Matter
    Pages 165-171

About this book

Introduction

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.

Keywords

Face Recognition HEP Intelligent Face Recognition Self-adaptive Self-learning

Authors and affiliations

  • Dengpan¬†Mou
    • 1
  1. 1.Harman/Becker Automotive Systems GmbHD-76307KarlsbadGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-00751-4
  • Copyright Information Springer-Verlag Berlin Heidelberg 2010
  • Publisher Name Springer, Berlin, Heidelberg
  • Print ISBN 978-3-642-00750-7
  • Online ISBN 978-3-642-00751-4
  • Buy this book on publisher's site