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Received:September 27, 2010 Revised:October 14, 2010
Received:September 27, 2010 Revised:October 14, 2010
中文摘要: 提出了一种基于局部二元模式（LBP）和局部保全投影（LPP）相结合的面部表情识别方法。使用LBP算子对图像分块处理，综合人脸局部和整体的特征；再使用LPP 对表情特征降维，最后采用支持向量机对面部表情分类。在日本女性人脸表情库上实验表明，本文提出的方法有更好的识别率和更快的识别速度。
Abstract:A method combining Local Binary Pattern(LBP) with Locality Preserving Projections(LPP) was presented for
face expression recognition. First, the algorithm processes facial expression images with LBP operator and integrates
local and global characteristics of the face. Then Locality Preserving Projections(LPP) method is used for feature
dimension reduction and SVM for classification. The algorithm is experimented in Japanese Female Facial Expression
database(JAFFE database). The results show that the proposed algorithm is more effective.
keywords: facial expression recognition local binary pattern(LBP) locality preserving projections(LPP) support
vector machine(SVM)
文章编号： 中图分类号： 文献标志码：
基金项目:国家自然科学基金(61070113)
引用文本：
朱晓明,姚明海.基于局部二元模式的人脸表情识别.计算机系统应用,2011,20(6):151-154
ZHU Xiao-Ming,YAO Ming-Hai.Facial Expression Recognition Based on Local Binary Pattern.COMPUTER SYSTEMS APPLICATIONS,2011,20(6):151-154
朱晓明,姚明海.基于局部二元模式的人脸表情识别.计算机系统应用,2011,20(6):151-154
ZHU Xiao-Ming,YAO Ming-Hai.Facial Expression Recognition Based on Local Binary Pattern.COMPUTER SYSTEMS APPLICATIONS,2011,20(6):151-154
