计算机工程与应用 ›› 2011, Vol. 47 ›› Issue (27): 210-211.

• 图形、图像、模式识别 • 上一篇    下一篇

基于图像优化局部保留投影的人脸表情识别

黄 勇   

  1. 柳州铁道职业技术学院 电子工程系,广西 柳州 545007
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2011-09-21 发布日期:2011-09-21

Facial expression recognition based on graph-optimized locality preserving projections

HUANG Yong   

  1. Department of Electronic Engineering,Liuzhou Railway Vocational Technical College,Liuzhou,Guangxi 545007,China
  • Received:1900-01-01 Revised:1900-01-01 Online:2011-09-21 Published:2011-09-21

摘要: 提出了一种基于图像优化局部保留投影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LPP目标函数中,称之为GOLPP。与LPP不同,GOLPP通过降维处理,获得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具判决性的表情信息。基于JAFFE和CED-WYU(1.0)两个表情数据库的识别结果表明,基于GOLPP的特征提取方法能有效地提高识别率。

关键词: 局部保留投影, 图像优化局部保留投影, 人脸表情识别

Abstract: A facial expression recognition method based on Graph-Optimized Locality Preserving Projections(GOLPP) is proposed in this paper.Unlike LPP,GOLPP incorporates graph construction into the LPP objective function in dimension reduction process,thus obtains a simultaneous learning framework for graph construction and projection optimization,GOLPP can extract more useful and discriminatal expression features from the original expression data.Experimental result on JAFFE and CED-WYU show that GOLPP is an effective method for improving the recognition accuracy.

Key words: Locality Preserving Projections(LPP), Graph-Optimized Locality Preserving Projections(GOLPP), facial expression recognition