A keypoints of fingers detection method based on K-medoids clustering and K-vector algorithm
Cai, Kun Yu
- 软件学院－会议论文 
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.