Edge Eigenface Weighted Hausdorff Distance for Face Recognition

Huachun Tan; Yu Jin Zhang; Wuhong Wang; Guangdong Feng; Hui Xiong; Jie Zhang; Yong Li

doi:10.2991/ijcis.2011.4.6.37

Edge Eigenface Weighted Hausdorff Distance for Face Recognition

Huachun Tan^*, Yu Jin Zhang, Wuhong Wang, Guangdong Feng, Hui Xiong, Jie Zhang, Yong Li

^*Corresponding author for this work

Advanced Research Institute of Multidisciplinary Science

Research output: Contribution to journal › Article › peer-review

Abstract

The different face regions have different degrees of importance for face recognition. In previous Hausdorff distance (HD) measures, points are treated as same importance, or weight different points that calculated from gray domain. In this paper, a new weighting function of HD based on the eigenface from edge domain, which reflects the discriminative properties of face edge images effectively, is proposed for face recognition. Experiments show the proposed method outperforms previous HD measures.

Original language	English
Pages (from-to)	1422-1429
Number of pages	8
Journal	International Journal of Computational Intelligence Systems
Volume	4
Issue number	6
DOIs	https://doi.org/10.2991/ijcis.2011.4.6.37
Publication status	Published - Dec 2011

Keywords

Eigenface
Face Recognition
Hausdorff Distance
Weighting Function

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10.2991/ijcis.2011.4.6.37

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abstract = "The different face regions have different degrees of importance for face recognition. In previous Hausdorff distance (HD) measures, points are treated as same importance, or weight different points that calculated from gray domain. In this paper, a new weighting function of HD based on the eigenface from edge domain, which reflects the discriminative properties of face edge images effectively, is proposed for face recognition. Experiments show the proposed method outperforms previous HD measures.",

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AU - Tan, Huachun

AU - Zhang, Yu Jin

AU - Wang, Wuhong

AU - Feng, Guangdong

AU - Xiong, Hui

AU - Zhang, Jie

AU - Li, Yong

PY - 2011/12

Y1 - 2011/12

N2 - The different face regions have different degrees of importance for face recognition. In previous Hausdorff distance (HD) measures, points are treated as same importance, or weight different points that calculated from gray domain. In this paper, a new weighting function of HD based on the eigenface from edge domain, which reflects the discriminative properties of face edge images effectively, is proposed for face recognition. Experiments show the proposed method outperforms previous HD measures.

AB - The different face regions have different degrees of importance for face recognition. In previous Hausdorff distance (HD) measures, points are treated as same importance, or weight different points that calculated from gray domain. In this paper, a new weighting function of HD based on the eigenface from edge domain, which reflects the discriminative properties of face edge images effectively, is proposed for face recognition. Experiments show the proposed method outperforms previous HD measures.

KW - Eigenface

KW - Face Recognition

KW - Hausdorff Distance

KW - Weighting Function

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ER -

Edge Eigenface Weighted Hausdorff Distance for Face Recognition

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Keywords

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