Surface curvature based automatic human face feature extraction

Jing Wang, Vanning Zhang, Satoshi Goto

研究成果: Conference contribution

抄録

3D face models provide more robust shape information of facial features than intensity or color in 2D images. However, many current facial feature extraction methods on 3D face models still depend on human instruction. This paper proposes an automatic human face feature extraction method adaptive to 3D face models in various poses and various scales based on analysis of surface curvature and a priori knowledge of human face structure. Moreover, during processing of segmented regions on 3D model, a novel region processing approach, called "Combine and Split", is proposed to significantly reduce undependable candidate regions for facial organs from hundreds to around ten. Experimental results demonstrate that proposed method can effectively extract eye, nose, mouth and ear regions from various 3D face models.

本文言語English
ホスト出版物のタイトルProceedings of 2005 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2005
ページ69-72
ページ数4
2005
出版ステータスPublished - 2005
イベント2005 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2005 - Hong Kong
継続期間: 2005 12 132005 12 16

Other

Other2005 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2005
CityHong Kong
Period05/12/1305/12/16

ASJC Scopus subject areas

  • 工学(全般)

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