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Expression-invariant face recognition using three-dimensional weighted walkthrough and centroid distance

[+] Author Affiliations
Yan Liang

Guangdong University of Technology, School of Automation, No. 100, Waihuan Xi Road, Guangzhou Higher Education Mega Centre, Guangzhou 510006, China

South China Normal University, School of Software, Nanhai Information Technology Park, Foshan 528225, China

Yun Zhang

Guangdong University of Technology, School of Automation, No. 100, Waihuan Xi Road, Guangzhou Higher Education Mega Centre, Guangzhou 510006, China

J. Electron. Imaging. 24(5), 053007 (Sep 10, 2015). doi:10.1117/1.JEI.24.5.053007
History: Received April 11, 2015; Accepted August 5, 2015
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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.

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Citation

Yan Liang and Yun Zhang
"Expression-invariant face recognition using three-dimensional weighted walkthrough and centroid distance", J. Electron. Imaging. 24(5), 053007 (Sep 10, 2015). ; http://dx.doi.org/10.1117/1.JEI.24.5.053007


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