대한전자공학회:학술대회논문집 (Proceedings of the IEEK Conference)

대한전자공학회 (The Institute of Electronics and Information Engineers)
권호 표지

자동 3차원 얼굴 포즈 정규화 기법

Automatic 3D Head Pose-Normalization using 2D and 3D Interaction

  • 유선진 (생체인식 연구센터, 연세대학교 전기전자공학과) ;
  • 김중락 (생체인식 연구센터, 연세대학교 생체인식 협동과정) ;
  • 이상윤 (생체인식 연구센터, 연세대학교 전기전자공학과)
  • Yu, Sun-Jin (BERC, School of Electrical Electronic Engineering, Yonsei University) ;
  • Kim, Joong-Rock (BERC, Graduate Program in Biometrics Yonsei University) ;
  • Lee, Sang-Youn (BERC, School of Electrical Electronic Engineering, Yonsei University)
  • 발행 : 2007.07.11
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초록

Pose-variation factors present a significant problem in 2D face recognition. To solve this problem, there are various approaches for a 3D face acquisition system which was able to generate multi-view images. However, this created another pose estimation problem in terms of normalizing the 3D face data. This paper presents a 3D head pose-normalization method using 2D and 3D interaction. The proposed method uses 2D information with the AAM(Active Appearance Model) and 3D information with a 3D normal vector. In order to verify the performance of the proposed method, we designed an experiment using 2.5D face recognition. Experimental results showed that the proposed method is robust against pose variation.

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