3D FACE REPRESENTATION AND RECOGNITION BY INTRINSIC SHAPE DESCRIPTION MAPS

被引：1

作者：

Guo, Zhe ^{[1
,2
]}

Zhang, Yanning ^{[1
]}

Xia, Yong ^{[2
,3
]}

Lin, Zenggang ^{[1
]}

Feng, Dagan ^{[2
,3
]}

机构：

[1] Northwestern Polytech Univ, Sch Comp Sci, Shaanxi Prov Key Lab Speech & Image Informat Pro, Xian 710072, Peoples R China

[2] Univ Sydney, Sch Informat Technol, Biomed & Multimedia Informat Technol Res Grp, Sydney, NSW, Australia

[3] Hong Kong Polytech Univ, Ctr Multimedia Signal Proc, Dept Elect & Informat Engn, Hong Kong, Hong Kong, Peoples R China

来源：

2010 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING | 2010年

基金：

中国国家自然科学基金;

关键词：

Face recognition; Conformal Geometric Maps; Intrinsic Shape Description Map;

D O I：

10.1109/ICASSP.2010.5495213

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

We present a novel method for 3D face recognition, in which the 3D facial surface is first mapped into a 2D domain with specified resolution through a global optimization by constrained conformal geometric maps. The Intrinsic Shape Description Map (ISDM) is then constructed through a modeling technique capable to express geometric and appearance information of the 3D face. Hence the 3D surface matching problem can be simplified to a 2D image matching problem, which greatly reduces the computational complexity. Finally, the Intrinsic Shape Description Feature (ISDF) of ISDM and the discrimination analysis can be calculated. Experimental results implemented on GavabDB demonstrate that our proposed method significantly outperforms the existing methods with respect to pose variation.

引用

页码：854 / 857

页数：4

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