A robust 3D face recognition algorithm using passive stereo vision

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

Research output: Contribution to journalArticlepeer-review

11 Citations (Scopus)


The recognition performance of the conventional 3D face recognition algorithm using ICP (Iterative Closest Point) is degraded for the 3D face data with expression changes. Addressing this problem, we consider the use of the expression-invariant local regions of a face. We find the expression-invariant regions through the distance analysis between 3D face data with the neutral expression and smile, and propose a robust 3D face recognition algorithm using passive stereo vision. We demonstrate efficient recognition performance of the proposed algorithm compared with the conventional ICP-based algorithm through the experiment using a stereo face image database which includes the face images with expression changes.

Original languageEnglish
Pages (from-to)1047-1055
Number of pages9
JournalIEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Issue number4
Publication statusPublished - 2009


  • 3D face
  • Biometrics
  • Face recognition
  • Facial expression
  • Phaseonly correlation

ASJC Scopus subject areas

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


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