图像局部保留投影及在表情识别中的应用  

Image locality preserving projection and its application to expression recognition

作　　者：黄勇[1] 

机构地区：[1]柳州铁道职业技术学院电子工程系,广西柳州545007

出　　处：《计算机应用》2010年第12期95-96,99,共3页journal of Computer Applications

摘　　要：提出了一种基于图像局部保留投影(ILPP)的人脸表情识别方法,该算法在降维过程中将图像结构信息融入到局部保留投影(LPP)目标函数中。与LPP不同,ILPP通过降维处理,获得表情图像结构信息的同时将投影最优化,这样可从原始表情数据中提取更多、更有效、更具判决性的表情特征信息。基于CED-WYU(1.0)和JAFFE两个表情数据库的识别结果表明,ILPP特征提取方法能有效地提高识别率。A facial expression recognition method based on Image Locality Preserving Projection（ILPP） was proposed.Unlike Locality Preserving Projection（LPP）,ILPP incorporated graph construction into the LPP objective function in dimension reduction process,and thus obtained a simultaneous learning framework for graph construction and projection optimization,ILPP could extract more useful and decisional expression features from the original expression data.The experimental results on CED-WYU（1.0） and JAFFE show that ILPP is an effective method for improving the recognition accuracy.

关 键 词：降维 局部保留投影 图像局部保留投影 表情识别 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]