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Journal of Electronic Imaging

Expression-invariant face recognition using three-dimensional weighted walkthrough and centroid distance
Author(s): Yan Liang; Yun Zhang
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Paper Abstract

Three-dimensional (3-D) face recognition provides a potential to handle challenges caused by illumination and pose variations. However, extreme expression variations still complicate the task of recognition. An accurate and robust method for expression-invariant 3-D face recognition is proposed. A 3-D face is partitioned into a set of isogeodesic stripes and the spatial relationships of the stripes are described by 3-D weighted walkthrough and the centroid distance. Moreover, the method of the similarity measure is given. Experiments are performed on the CASIA dataset and the FRGC v2.0 dataset. The results show that our method has advantages for recognition performance despite large expression variations.

Paper Details

Date Published: 10 September 2015
PDF: 6 pages
J. Electron. Imaging. 24(5) 053007 doi: 10.1117/1.JEI.24.5.053007
Published in: Journal of Electronic Imaging Volume 24, Issue 5
Show Author Affiliations
Yan Liang, Guangdong Univ. of Technology (China)
South China Normal Univ. (China)
Yun Zhang, Guangdong Univ. of Technology (China)


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