A Hand Direction Vector Extraction Method Based on K Vector and K-medoids Clustering Algorithm

摘要：

　　This paper proposed a method of computing the hand direction vector.At first,using K-vector method,compute the K-slopo of all the points on the contour to get a series of peak point sets; Then,cluster the sets which have been obtained through K-medoids algorithm; At last,detect the pointing direction of each fingertip from the clustering information,and get the hands direction by it.The experiment shows that the method achieves the precise positioning of hand direction in palm contours.

关键词： Hand Direction Vector K-vector Algorithm K-medoids Clustering Algorithm

作者: Duan Hong Cai Kunyu

作者单位: Software School of Xiamen University Xiamen city,China

会议类型: 国际会议

会议名称: 2013 2nd International Conference on Computer Science and Electronics Engineering(ICCSEE2013)(2013年第二届计算机科学与电子工程国际会议)

会议地点: 杭州

会议语种:英文

页码: 361-363

在线出版日期: 2013-03-22（万方平台首次上网日期，不代表论文的发表时间）