| 基于轮廓曲线和局部特征点的自动人耳识别 |
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| 引用本文： | 田莹,苑玮琦.基于轮廓曲线和局部特征点的自动人耳识别[J].光电子．激光,2008,19(4):549-553. |
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| 作者姓名： | 田莹 苑玮琦 |
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| 作者单位： | 1. 沈阳工业大学视觉检测技术研究所,辽宁,沈阳,110023;辽宁科技大学计算机科学与工程学院,辽宁,鞍山,114051
2. 沈阳工业大学视觉检测技术研究所,辽宁,沈阳,110023 |
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| 基金项目： | 教育部春晖计划合作资助项目 |
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| 摘 要： | 针对人耳识别问题,提出了一种由粗到细的两步识别方法.首先采用边界跟踪算法从侧脸图像上提取外耳及其轮廓曲线,然后利用基于改进Hausdorff距离的轮廓曲线对齐方法对图像库进行筛选得出候选的人耳图像,最后通过使用广义外耳局部特征点匹配方法从候选图像中精确匹配出与待测人耳相同的图像.采用轮廓曲线和局部特征点作为识别特征向量,利用改进Hausdorff 距离作为匹配量度方法,实现了基于2-D灰度侧脸图像的完全自动人耳识别,较有效地克服了光照和旋转角度变化对外耳识别的影响.实验结果表明,该方法计算量小、适应性强、鲁棒性好,极具实用价值.
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| 关 键 词： | 人耳识别 人耳检测 轮廓匹配 Hausdorff距离 局部特征点 |
| 文章编号： | 1005-0086(2008)04-0549-05 |
| 修稿时间： | 2007年3月19日 |
Automatic ear recognition based on contour curve and local feature |
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| TIAN Ying,YUAN Wei-qi.Automatic ear recognition based on contour curve and local feature[J].Journal of Optoelectronics·laser,2008,19(4):549-553. |
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| Authors: | TIAN Ying YUAN Wei-qi |
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| Affiliation: | TIAN Ying 1,2,YUAN Wei-qi1(1.Computer vision group,Shenyang University of Technology,Shenyang 110023 China,2.School of computer science , engineering,University of Science , Technology Liaoning,Anshan 114051 China) |
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| Abstract: | A two-step matching method based on an improved Hausdorff distance for human ear recognition is proposed.An edge tracking method is performed first to extract the contour curve fo outer ear in a side face.and then a contour curve alignment method based on the improved Hausdorff distance is adopted for image matching so that a few well-matched ear images are picked out,the local feature extraction method is used for the final refined match.The recognition method can be performed automatically by use of conto... |
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| Keywords: | ear recognition ear detection contour matching Hausdorff distance local features |
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