| 基于豪斯多夫距离的快速多人脸检测算法 |
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| 引用本文： | 杨清夙,游志胜,张先玉.基于豪斯多夫距离的快速多人脸检测算法[J].电子科技大学学报(社会科学版),2004(4). |
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| 作者姓名： | 杨清夙 游志胜 张先玉 |
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| 作者单位： | 中国电子科技集团第七所研究所 广州5103103
(杨清夙)，四川大学计算机学院 成都610064
(游志胜)，四川大学计算机学院 成都610064(张先玉) |
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| 摘 要： | 以豪斯多夫距离为相似性度量,提出了一种对光照及背景变化具有鲁棒性的快速准确多人脸检测算法。由于豪斯多夫距离多模板匹配算法的复杂性,采用降低模型维数,寻找感兴趣区域和用变换间距离来寻找最适宜模型等多种方法提高计算豪斯多夫距离的效率。实验结果证明该算法能快速准确检测人脸。
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| 关 键 词： | 豪斯多夫距离 人脸检测 相似性 鲁棒性 |
Fast Multi-Face Detection Algorithm Based on Hausdorff Distance |
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| Yang Qingsu,You Zhisheng,Zhang Xianyu.Fast Multi-Face Detection Algorithm Based on Hausdorff Distance[J].Journal of University of Electronic Science and Technology of China(Social Sciences Edition),2004(4). |
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| Authors: | Yang Qingsu You Zhisheng Zhang Xianyu |
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| Institution: | Yang Qingsu1,You Zhisheng2,Zhang Xianyu2 |
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| Abstract: | This paper provides a fast and accurate algorithm of multi-face detection that is robust to the change of background and light. Because the multi-template matching algorithm based on Hausdorff Distance is very complex, many resolution techniques,such as decrease the dimension of model, find the area of interest, and get the fittest model based on the distance between transformation, have been used to advance the computation efficiency. The algorithms performance was proved by experiment results. |
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| Keywords: | hausdorff distance face detection similarity robustness |
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