SINOBIOMETRICS 2004: Advances in Biometric Person Authentication pp 339-348 | Cite as

Vision-Based Face Understanding Technologies and Their Applications

  • Shihong Lao
  • Masato Kawade
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3338)

Abstract

We have developed a group of vision-based face understanding technologies called OKAO Vision (OKAO means face in Japanese) including face detection, facial feature point detection, face recognition and facial attribute estimation. Our face detection technology can detect both frontal and profile faces rotated to any angles. Facial feature point detection, face recognition and facial attribute estimation are based on a common architecture: using Gabor wavelet transform coefficients as feature values and use SVM as classifier. Our experiments show that this architecture is very powerful. In this paper, we explain the key technologies of OKAO Vision and how these technologies are used in applications for entertainment, communication, security and intelligent interfaces.

Keywords

Face Recognition Face Detection Weak Classifier Gabor Wavelet Automatic Face 
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 2004

Authors and Affiliations

  • Shihong Lao
    • 1
  • Masato Kawade
    • 1
  1. 1.Sensing Technology LaboratoryOMRON CorporationKyotoJapan

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