Facial symmetry assessment based on geometric features

Guoping Xu; Hanqiang Cao

doi:10.1117/12.2203578

14 December 2015 Facial symmetry assessment based on geometric features

Guoping Xu, Hanqiang Cao

Proceedings Volume 9812, MIPPR 2015: Automatic Target Recognition and Navigation; 981207 (2015) https://doi.org/10.1117/12.2203578
Event: Ninth International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2015), 2015, Enshi, China

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.

Citation Download Citation

Guoping Xu and Hanqiang Cao "Facial symmetry assessment based on geometric features", Proc. SPIE 9812, MIPPR 2015: Automatic Target Recognition and Navigation, 981207 (14 December 2015); https://doi.org/10.1117/12.2203578

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