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Proceedings Paper

Facial symmetry assessment based on geometric features
Author(s): Guoping Xu; Hanqiang Cao
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Paper Abstract

Face image symmetry is an important factor affecting the accuracy of automatic face recognition. Selecting high symmetrical face image could improve the performance of the recognition. In this paper, we proposed a novel facial symmetry evaluation scheme based on geometric features, including centroid, singular value, in-plane rotation angle of face and the structural similarity index (SSIM). First, we calculate the value of the four features according to the corresponding formula. Then, we use fuzzy logic algorithm to integrate the value of the four features into a single number which represents the facial symmetry. The proposed method is efficient and can adapt to different recognition methods. Experimental results demonstrate its effectiveness in improving the robustness of face detection and recognition.

Paper Details

Date Published: 14 December 2015
PDF: 8 pages
Proc. SPIE 9812, MIPPR 2015: Automatic Target Recognition and Navigation, 981207 (14 December 2015); doi: 10.1117/12.2203578
Show Author Affiliations
Guoping Xu, Huazhong Univ. of Science and Technology (China)
Hanqiang Cao, Huazhong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 9812:
MIPPR 2015: Automatic Target Recognition and Navigation
Nong Sang; Xinjian Chen, Editor(s)

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