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1)  ear recognition
人耳识别
1.
Automatic ear recognition based on contour curve and local feature;
基于轮廓曲线和局部特征点的自动人耳识别
2.
Research of the Ear Recognition Based on Principal Component Analysis;
基于主成分分析的人耳识别系统研究
3.
Selection of the anchor points and design of the detecting algorithm for ear recognition system;
人耳识别系统中的定位点选择及检测算法的设计
2)  multi-pose ear recognition
多姿态人耳识别
1.
Locally Linear Embedding and Its Improved Algorithm for Multi-Pose Ear Recognition
用于多姿态人耳识别的局部线性嵌入及其改进算法
2.
In this paper,on the basis of the manifold learning algorithm,we propose a multi-pose ear recognition method based on LLE(locally linear embedding)that overcomes the disadvantages of 2-D ear recognition methods in dealing with pose variations.
多姿态人耳识别人耳识别技术面临的一个难题,目前这方面的研究并不多见。
3)  ear recognition methods
人耳识别方法
4)  3D ear recognition
三维人耳识别
5)  ear recognition technology
人耳识别技术
1.
This paper introduces the definition,the unique advantages,the research status quo of the ear recognition technology,and expounds several major process of the ear recognition,and enumerates some mainstream ear recognition method,and puts forward a number of issues need to be further studied,and points out the possible development.
文章介绍了人耳识别技术的定义、独特优势和研究现状,阐释了人耳识别的主要过程,列举了一些主流的人耳识别方法,提出了若干需要进一步研究的问题,指出了可能的发展方向。
6)  outer ear recognition
外耳识别
1.
On the basis of the application background,the paper compares some edgedetection algorithms such as Canny operator,Sobel operator and so on,and by distinguishing edge type vision and algorithm,puts forward a practical method of edge detection based on outer ear recognition technique,which is useful in actual applications.
外耳识别技术是一种新的生物个体识别技术 ,有它自身的应用范围和特点 ,以其为应用背景 ,比较了Canny算子、Sobel算子等边缘处理技术之后 ,从区分图像边缘类型视觉与算法角度出发 ,提出了一种基于外耳识别技术的边缘检测的实用方法 ,具有一定实际应用价值。
补充资料:耳耳
1.众盛貌。 2.《三国志.魏志.崔琰传》:"与训书曰:'省表﹐事佳耳!时乎时乎﹐会当有变时。'……有白琰此书傲世怨谤者﹐太祖怒曰:谚言'生女耳'﹐'耳'非佳语。'会当有变时'﹐意指不逊。于是罚琰为徒隶。"后因以"耳耳"表示有所不足之辞﹐犹言罢了罢了。 3.挺拔貌。
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