计算机工程与应用Issue(22)：197-200,4.DOI:10.3778/j.issn.1002-8331.1203-0008
结合改进的LBP和LDP的人脸表情识别
Facial expression recognition based on improved LBP and LDP
摘要
Abstract
Put forward a combined with improved LBP(Local Binary Mode)and the LDP(Local Directional Pattern)face ex-pression method of feature extraction. The dimension of improved LBP has decreased significantly, more considered the space structure information. The method of LDP has the very strong antinoise ability, and better edge information extraction. Based on the two methods can be complementary advantages, the image block branch area with improved LBP for first feature extraction. Subspace of face use LDP area feature extraction. Finally the features of the improved LBP extraction and extraction of the LDP extraction characteristics connected as the general features. JAFFE database of experiment proves the proposed method has more effectively improving the face expression recognition.关键词
表情识别/局部二值模式/中心化二值模式/Kirsch算子/局部定向模式Key words
facial expression recognition/Local Binary Mode(LBP)/Central Binary Mode(CBP)/Kirsch operator/Local Di-rectional Pattern(LDP)分类
信息技术与安全科学引用本文复制引用
龚劬,叶剑英,华桃桃..结合改进的LBP和LDP的人脸表情识别[J].计算机工程与应用,2013,(22):197-200,4.基金项目
重庆大学“211工程”三期创新人才培养计划建设项目（No.S-09110）。 （）
