Recognition of Human Faces: From Biological to Artificial Vision

  • Massimo Tistarelli
  • Linda Brodo
  • Andrea Lagorio
  • Manuele Bicego
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4729)

Abstract

Face recognition is among the most challenging techniques for personal identity verification. Even though it is so natural for humans, there are still many hidden mechanisms which are still to be discovered. According to the most recent neurophysiological studies, the use of dynamic information is extremely important for humans in visual perception of biological forms and motion. Moreover, motion processing is also involved in the selection of the most informative areas of the face and consequently directing the attention. This paper provides an overview and some new insights on the use of dynamic visual information for face recognition, both for exploiting the temporal information and to define the most relevant areas to be analyzed on the face. In this context, both physical and behavioral features emerge in the face representation.

Keywords

Facial Expression Hide Markov Model Face Recognition Video Sequence Human Visual System 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Massimo Tistarelli
    • 1
  • Linda Brodo
    • 2
  • Andrea Lagorio
    • 3
  • Manuele Bicego
    • 3
  1. 1.DAP - University of Sassari, piazza Duomo 6 - 07041 Alghero (SS)Italy
  2. 2.DSL - University of Sassari, piazza Università 21 - 07100 SassariItaly
  3. 3.DEIR - University of Sassari, via Torre Tonda 34 - 07100 SassariItaly

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