A 3D face recognition system using passive stereo vision and its performance evaluation

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

This paper proposes a three-dimensional (3D) face recognition system using passive stereo vision. So far, the reported 3D face recognition systems assume the use of active 3D measurement for 3D facial capture. However, active methods employ structured illumination or laser scanning, which is not desirable in many human recognition applications. Addressing this problem, we propose a 3D face recognition system that uses (i) AdaBoost-based face detection to automatically extract a face region from an image, (ii) passive stereo vision to capture 3D facial information, and (iii) 3D face matching based on a simple ICP (Iterative Closest Point) algorithm. Experimental evaluation demonstrates an efficient recognition performance of the proposed system.

Original languageEnglish
Title of host publication2006 International Symposium on Intelligent Signal Processing and Communications, ISPACS'06
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages379-382
Number of pages4
ISBN (Print)0780397339, 9780780397330
DOIs
Publication statusPublished - 2006 Jan 1
Event2006 International Symposium on Intelligent Signal Processing and Communications, ISPACS'06 - Yonago, Japan
Duration: 2006 Dec 122006 Dec 15

Publication series

Name2006 International Symposium on Intelligent Signal Processing and Communications, ISPACS'06

Other

Other2006 International Symposium on Intelligent Signal Processing and Communications, ISPACS'06
CountryJapan
CityYonago
Period06/12/1206/12/15

ASJC Scopus subject areas

  • Computer Science Applications
  • Signal Processing
  • Software
  • Electrical and Electronic Engineering
  • Mathematics(all)

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