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

Can Tong, Seiichiro Kamata, Alireza Ahrary

研究成果: Conference contribution

抜粋

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.

元の言語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
4
DOI
出版物ステータスPublished - 2009
イベント2009 IEEE International Conference on Intelligent Computing and Intelligent Systems, ICIS 2009 - Shanghai
継続期間: 2009 11 202009 11 22

Other

Other2009 IEEE International Conference on Intelligent Computing and Intelligent Systems, ICIS 2009
Shanghai
期間09/11/2009/11/22

    フィンガープリント

ASJC Scopus subject areas

  • Computer Science(all)
  • Control and Systems Engineering

これを引用

Tong, C., Kamata, S., & Ahrary, A. (2009). 3D face recognition based on fast feature detection and non-rigid iterative closest point. : Proceedings - 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems, ICIS 2009 (巻 4, pp. 509-512). [5357633] https://doi.org/10.1109/ICICISYS.2009.5357633