计算机应用与软件2013，Vol.30Issue(4)：246-248,3.DOI:10.3969/j.issn.1000-386x.2013.04.070
基于稀疏表达和改进的LBP算子的人脸表情识别
FACIAL EXPRESSION RECOGNITION BASED ON SPARSE REPRESENTATION AND IMPROVED LBP OPERATOR
摘要
Abstract
According to the drawbacks of local binary pattern ( LBP) operator that it has high histogram dimension, poor discriminate ability and redundant information in facial expression recognition, the centre binary pattern ( CBP) operator is proposed and employed to extract the feature of key parts of facial expression ( eyebrow, eye and mouth). Finally, the sparse representation classifier is used to recognise these extracted features. Experiments show that the recognition effect of the proposed algorithm is greatly improved.关键词
人脸表情识别/LBP/CBP/稀疏表达Key words
Facial expression recognition/ LBP/ CBP/ Sparse representation分类
信息技术与安全科学引用本文复制引用
徐杜功,丁召,刘桥..基于稀疏表达和改进的LBP算子的人脸表情识别[J].计算机应用与软件,2013,30(4):246-248,3.
