A FACE CLUSTERING METHOD BASED ON FACIAL SHAPE INFORMATION

摘要：

　　A face clustering method based on facial shapes is proposed in this paper.In order to impreve image retrieval efficiency in large database,a modified ISODATA clustering method is used to categorize faces into different classes using facial shape features.Firstly,face images are clustered into 7 classes according to face contour; secondly,in each face contour class,facial shape features including the eyes,nose,mouth and the relative location of face organs are used to further cluster faces into several small classes.The facial shape features are extracted by a modified ASM method.The Hausdorff distance is applied to calculate distance of two facial shape point sets.Experimental results demonstrate that the proposed approach could classify human faces reasonably and accurately.Moreover,it could help to accelerate the speed of face recognition.

关键词： ISODATA ASM Face clustering Facial shape feature

作者: SHU-CONG ZHANG BIN FANG YING-ZONG LIANG JING WEN LEI WU

作者单位: Department of Computer Science, Chongqing University, Chongqing 400030, China

会议类型: 国际会议

会议名称: 2011 International Conference on Wavelet Analysis and Pattern Recognition(2011小波分析与模式识别国际会议)

会议地点: 桂林

会议语种:英文

页码: 44-49

在线出版日期: 2011-07-10（万方平台首次上网日期，不代表论文的发表时间）