计算机工程与应用Issue(15)：34-37,4.DOI:10.3778/j.issn.1002-8331.1312-0448
融合LBP和局部稀疏表示的人脸表情识别
Face expression recognition fusion LBP and local sparse represen-tation
摘要
Abstract
In order to effectively represent facial expression feature, a novel method fusing Local Binary Pattern(LBP) and local sparse representation is proposed for facial expression representation and recognition. The face image is divided into non-uniform local regions based on face features, and the LBP features are calculated for every facial local region. For depicting facial local texture exactly and integrating facial local features, a facial local reconstruction method based on sparse representation is designed. According to the influence on the facial regions for expression, a weighted fusion algorithm is presented to collect all the local reconstruction residuals and address the expression recognition task. The experiments tested on JAFFE2 face expression database demonstrate the proposed method is feasible and robust to facial expression.关键词
表情识别/特征融合/局部二值模式/稀疏表示Key words
expression recognition/feature fusion/Local Binary Pattern(LBP)/sparse representation分类
信息技术与安全科学引用本文复制引用
唐恒亮,孙艳丰,朱杰,赵明茹..融合LBP和局部稀疏表示的人脸表情识别[J].计算机工程与应用,2014,(15):34-37,4.基金项目
国家自然科学基金（No.61171169，No.61133003）；北京市自然科学基金（No.4132013）；北京市哲学社会科学规划项目（No.13JGC099）；中国博士后科学基金（No.2013M530498）；北京市博士后工作经费（No.2013ZZ18）；北京物资学院青年科研基金（No.2012XJQN018）。 （）
