Edge Eigenface Weighted Hausdorff Distance for Face Recognition
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...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2011-12-01
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| Series: | International Journal of Computational Intelligence Systems |
| Subjects: | |
| Online Access: | https://www.atlantis-press.com/article/2422.pdf |
| _version_ | 1828531192776884224 |
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| author | Huachun Tan Yu-Jin Zhang Wuhong Wang Guangdong Feng Hui Xiong Jie Zhang Yong Li |
| author_facet | Huachun Tan Yu-Jin Zhang Wuhong Wang Guangdong Feng Hui Xiong Jie Zhang Yong Li |
| author_sort | Huachun Tan |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-11T22:34:14Z |
| format | Article |
| id | doaj.art-9073d404fac9442aa351098df32c41fa |
| institution | Directory Open Access Journal |
| issn | 1875-6883 |
| language | English |
| last_indexed | 2024-12-11T22:34:14Z |
| publishDate | 2011-12-01 |
| publisher | Springer |
| record_format | Article |
| series | International Journal of Computational Intelligence Systems |
| spelling | doaj.art-9073d404fac9442aa351098df32c41fa2022-12-22T00:48:02ZengSpringerInternational Journal of Computational Intelligence Systems1875-68832011-12-014610.2991/ijcis.2011.4.6.37Edge Eigenface Weighted Hausdorff Distance for Face RecognitionHuachun TanYu-Jin ZhangWuhong WangGuangdong FengHui XiongJie ZhangYong LiThe 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.https://www.atlantis-press.com/article/2422.pdfFace Recognition; Hausdorff Distance; Weighting Function; Eigenface. |
| spellingShingle | Huachun Tan Yu-Jin Zhang Wuhong Wang Guangdong Feng Hui Xiong Jie Zhang Yong Li Edge Eigenface Weighted Hausdorff Distance for Face Recognition International Journal of Computational Intelligence Systems Face Recognition; Hausdorff Distance; Weighting Function; Eigenface. |
| title | Edge Eigenface Weighted Hausdorff Distance for Face Recognition |
| title_full | Edge Eigenface Weighted Hausdorff Distance for Face Recognition |
| title_fullStr | Edge Eigenface Weighted Hausdorff Distance for Face Recognition |
| title_full_unstemmed | Edge Eigenface Weighted Hausdorff Distance for Face Recognition |
| title_short | Edge Eigenface Weighted Hausdorff Distance for Face Recognition |
| title_sort | edge eigenface weighted hausdorff distance for face recognition |
| topic | Face Recognition; Hausdorff Distance; Weighting Function; Eigenface. |
| url | https://www.atlantis-press.com/article/2422.pdf |
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