3D face recognition based on fast feature detection and non-rigid iterative closest point

Can Tong, Sei Ichiro Kamata, Alireza Ahrary

研究成果: Conference contribution

抄録

This paper presents a 3D face recognition algorithm using fast landmark detection and non-rigid iterative Closest Point (ICP) algorithm. The proposed approach can estimate the facial feature region using the anthropometric face model after pose correction, and accurately detect 9 facial landmarks (nose tip, sellion, inner and outer eye corners, nostrils and mouth center). An extension of ICP algorithm has also been proposed to matching the non-rigid 3D face shapes. Experimental results demonstrate that compared to the existing methods, the proposed approach can efficiently detect human facial landmarks and satisfactorily deal with the 3D face matching problem.

本文言語English
ホスト出版物のタイトルProceedings - 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems, ICIS 2009
ページ509-512
ページ数4
DOI
出版ステータスPublished - 2009 12 1
イベント2009 IEEE International Conference on Intelligent Computing and Intelligent Systems, ICIS 2009 - Shanghai, China
継続期間: 2009 11 202009 11 22

出版物シリーズ

名前Proceedings - 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems, ICIS 2009
4

Conference

Conference2009 IEEE International Conference on Intelligent Computing and Intelligent Systems, ICIS 2009
CountryChina
CityShanghai
Period09/11/2009/11/22

ASJC Scopus subject areas

  • Computer Science(all)
  • Control and Systems Engineering

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