Surface curvature based automatic human face feature extraction

Jing Wang, Vanning Zhang, Satoshi Goto

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

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of 2005 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2005
Pages69-72
Number of pages4
Volume2005
Publication statusPublished - 2005
Event2005 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2005 - Hong Kong
Duration: 2005 Dec 132005 Dec 16

Other

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

Fingerprint

Feature extraction
Processing
Color

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Wang, J., Zhang, V., & Goto, S. (2005). Surface curvature based automatic human face feature extraction. In Proceedings of 2005 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2005 (Vol. 2005, pp. 69-72). [1595348]

Surface curvature based automatic human face feature extraction. / Wang, Jing; Zhang, Vanning; Goto, Satoshi.

Proceedings of 2005 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2005. Vol. 2005 2005. p. 69-72 1595348.

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

Wang, J, Zhang, V & Goto, S 2005, Surface curvature based automatic human face feature extraction. in Proceedings of 2005 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2005. vol. 2005, 1595348, pp. 69-72, 2005 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2005, Hong Kong, 05/12/13.
Wang J, Zhang V, Goto S. Surface curvature based automatic human face feature extraction. In Proceedings of 2005 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2005. Vol. 2005. 2005. p. 69-72. 1595348
Wang, Jing ; Zhang, Vanning ; Goto, Satoshi. / Surface curvature based automatic human face feature extraction. Proceedings of 2005 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2005. Vol. 2005 2005. pp. 69-72
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