Efficient Face Segmentation Based on Face Attention Model and Seeded Region Merging

摘要：

This paper presents an efficient face segmentation approach based on face attention model and seeded region merging.A face attention model that jointly exploits the information of skin color and eyes position is first constructed to obtain a facial saliency map,which indicates the position of possible faces and is used to determine seed regions.Then a seeded region merging algorithm based on regional facial saliency is proposed to generate a sequence of regions,and the region with the highest regional facial saliency is selected to represent each face.Experimental results on a variety of images demonstrate the good segmentation performance of the proposed face segmentation algorithm.

关键词： face segmentation face attention model seeded region merging

作者: Zhi Liu Weiwei Li Xiang Zhang Jie Yang

作者单位: School of Communication and Information Engineering,Shanghai University,China;Key Lab of Advanced Di School of Communication and Information Engineering,Shanghai University,China Institute of Image Processing and Pattern Recognition,Shanghai Jiaotong University,China

会议类型: 国际会议

会议名称: 9th International Conference on Signal Processing(第九届国际信号处理学术会议)(ICSP08)

会议地点: 北京

会议语种:英文

在线出版日期: 2008-10-26（万方平台首次上网日期，不代表论文的发表时间）