摘要
提出了一种利用数据场的表情脸识别方法。根据数据场的思想层次建模,从数据中提取概念,用特征集来表示概念。在JAFFE表情脸图像库中进行实验,其整体识别率高达94.3%,说明该方法能够较有效地处理表情脸识别中的不确定性。
Pattern recognition is a focused technique of computerized image analysis.One difficult problem of which is the uncertainty on the expressional face recognition.A new method on pattern recognition is proposed on the basis of data field.In the methodological framework of pattern recognition,the method is designed upon the data field and hierarchical modeling.This method is applied to recognize JAFFE,a famous expressional face database.The whole recognition rate may be about 94.3%.This result indicates that the method is suitable and effective.
出处
《武汉大学学报（信息科学版）》
EI
CSCD
北大核心
2010年第6期738-742,共5页
Geomatics and Information Science of Wuhan University
基金
国家973计划资助项目(2006CB701305
2007CB310804)
国家自然科学基金资助项目(607430016)
湖北省杰出青年基金资助项目(CDB132)
关键词
数据场
模式识别
数据聚类
表情脸识别
data field
pattern recognition
data clustering
expressional face recognition
