A passive 3D face recognition system and its performance evaluation

Akihiro Hayasaka, Takuma Shibahara, Koichi Ito, Takafumi Aoki, Hiroshi Nakajima, Koji Kobayashi

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)


This paper proposes a three-dimensional (3D) face recognition system using passive stereo vision. So far, the reported 3D face recognition techniques have used active 3D measurement methods to capture high-quality 3D facial information. However, active methods employ structured illumination (structure projection, phase shift, moire topography, etc.) or laser scanning, which is not desirable in many human recognition applications. Addressing this problem, we propose a face recognition system that uses (i) passive stereo vision to capture 3D facial information and (ii) 3D matching using an ICP (Iterative Closest Point) algorithm with its improvement techniques. Experimental evaluation demonstrates efficient recognition performance of the proposed system compared with an active 3D face recognition system and a passive 3D face recognition system employing the original ICP algorithm.

Original languageEnglish
Pages (from-to)1974-1981
Number of pages8
JournalIEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Issue number8
Publication statusPublished - 2008 Aug


  • 3D measurement
  • Biometrics
  • Face recognition
  • Phase-only correlation
  • Stereo vision

ASJC Scopus subject areas

  • Signal Processing
  • Computer Graphics and Computer-Aided Design
  • Electrical and Electronic Engineering
  • Applied Mathematics


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