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

^*此作品的通讯作者

前沿交叉科学研究院

科研成果: 期刊稿件 › 文章 › 同行评审

摘要

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.

源语言	英语
页（从-至）	1422-1429
页数	8
期刊	International Journal of Computational Intelligence Systems
卷	4
期	6
DOI	https://doi.org/10.2991/ijcis.2011.4.6.37
出版状态	已出版 - 12月 2011

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10.2991/ijcis.2011.4.6.37

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@article{f9a49866c9254f49a89d48255644d2b5,

title = "Edge Eigenface Weighted Hausdorff Distance for Face Recognition",

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.",

keywords = "Eigenface, Face Recognition, Hausdorff Distance, Weighting Function",

author = "Huachun Tan and Zhang, {Yu Jin} and Wuhong Wang and Guangdong Feng and Hui Xiong and Jie Zhang and Yong Li",

note = "Publisher Copyright: {\textcopyright} 2017, Atlantis Press.",

year = "2011",

month = dec,

doi = "10.2991/ijcis.2011.4.6.37",

language = "English",

volume = "4",

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journal = "International Journal of Computational Intelligence Systems",

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TY - JOUR

T1 - Edge Eigenface Weighted Hausdorff Distance for Face Recognition

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

UR - http://www.scopus.com/inward/record.url?scp=85183317998&partnerID=8YFLogxK

U2 - 10.2991/ijcis.2011.4.6.37

DO - 10.2991/ijcis.2011.4.6.37

M3 - Article

AN - SCOPUS:85183317998

SN - 1875-6891

VL - 4

SP - 1422

EP - 1429

JO - International Journal of Computational Intelligence Systems

JF - International Journal of Computational Intelligence Systems

IS - 6

ER -

Edge Eigenface Weighted Hausdorff Distance for Face Recognition

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