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	A keypoints of fingers detection method based on K-medoids clustering and K-vector algorithm
	Hong, Duan ; Cai, Kun Yu ; Duan H(段鸿)
	2013
关键词	Geometry Information technology Vectors
英文摘要	Conference Name:2013 International Conference on Vehicle and Mechanical Engineering and Information Technology, VMEIT 2013. Conference Address: Zhengzhou, Henan, China. Time:August 17, 2013 - August 18, 2013.; The paper presents a calculation method to get the probable key points in hands outline. First, use K-vector to calculate the K-slope of all points in outline and get a series of peak point sets. Then, cluster the peak point sets which have been obstained by K-medoids algorithm and get the location of every fingertips and probable points; At last, distinguish the fingertips and webbed points by vector cross product operation. The experiment shows that this method achieve the precise positionong of the fingertips and finger webbed points. ? (2013)Trans Tech Publications,Switzerland.
语种	英语
出处	http://dx.doi.org/10.4028/www.scientific.net/AMM.380-384.1609
出版者	Trans Tech Publications Ltd
内容类型	其他
源URL	[http://dspace.xmu.edu.cn/handle/2288/85757]
专题	软件学院－会议论文
推荐引用方式 GB/T 7714	Hong, Duan,Cai, Kun Yu,Duan H. A keypoints of fingers detection method based on K-medoids clustering and K-vector algorithm. 2013-01-01.

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