A Comparative Study on Fuzzy-Clustering-Based Lip Region Segmentation Methods

摘要：

As the first step of many lip-reading or visual speaker authentication systems, lip region segmentation is of vital importance. And fuzzy clustering based methods have been widely used in lip segmentation. In this paper, four fuzzy clustering based lip segmentation methods have been elaborated with their underlying rationale. Experiments have been carried out evaluate their performance comparatively. From the experimental results, SFCM has the best efficiency and FCMST has the best segmentation accuracy.

关键词： lip segmentation fuzzy clustering spatial information temporal information visual speech recognition

作者: Shi-Lin WANG An-Jie CAO Chun CHEN Ruo-Yun WANG Nicolas MACHABERT

作者单位: School of Information Security Engineering Shanghai Jiaotong University Shanghai, CHINA Ecole Superieurs dIngenieurs de REcherche en Materiaux et infotronique(ESIREM) University of Burgun

会议类型: 国际会议

会议名称: 2010 International Conference on Bio-inspried System and Signal Processing(2010 IEEE生物系统与信号处理国际会议 ICBSSP 2010)

会议地点: 厦门

会议语种:英文

页码: 80-82

在线出版日期: 2010-10-26（万方平台首次上网日期，不代表论文的发表时间）