摘要
Mouth feature extraction is of crucial importance for face recognition. Deformable template is an efficient model for this task. However, it suffers from the problems of local minima and low convergence speed. To fill this gap, in this paper, a new energy function is proposed, which emphasizes on corner information ignored in previous methods. Thus, the energy function can reflect the properties of mouth feature effectively. Experimental results show the new method is robust.
源语言 | 英语 |
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主期刊名 | Proceedings of the 7th International Conference on Machine Learning and Cybernetics, ICMLC |
页 | 2909-2913 |
页数 | 5 |
DOI | |
出版状态 | 已出版 - 2008 |
活动 | 7th International Conference on Machine Learning and Cybernetics, ICMLC - Kunming, 中国 期限: 12 7月 2008 → 15 7月 2008 |
出版系列
姓名 | Proceedings of the 7th International Conference on Machine Learning and Cybernetics, ICMLC |
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卷 | 5 |
会议
会议 | 7th International Conference on Machine Learning and Cybernetics, ICMLC |
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国家/地区 | 中国 |
市 | Kunming |
时期 | 12/07/08 → 15/07/08 |
指纹
探究 'Incorporating corner information for mouth feature extraction' 的科研主题。它们共同构成独一无二的指纹。引用此
Tan, H. C., & Zhang, Y. J. (2008). Incorporating corner information for mouth feature extraction. 在 Proceedings of the 7th International Conference on Machine Learning and Cybernetics, ICMLC (页码 2909-2913). 文章 4620905 (Proceedings of the 7th International Conference on Machine Learning and Cybernetics, ICMLC; 卷 5). https://doi.org/10.1109/ICMLC.2008.4620905