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基于Log-Gabor变换和ADABOOST的人脸表情识别
引用本文:李风华. 基于Log-Gabor变换和ADABOOST的人脸表情识别[J]. 辽宁工学院学报, 2010, 0(4): 229-231
作者姓名:李风华
作者单位:辽宁工业大学计算中心,辽宁锦州121001
摘    要:介绍了为提高因受不同程度光照和形变影响的二维人脸表情图像的识别效率,采用了Log-Gabor小波变换方法对输入二维人脸表情图像进行滤波处理。并采用级联Adaboost方法对二维人脸表情进行识别处理。特别是对于二维人脸表情在受到一定程度形变和光照影响下对其正确识别率依然达到较好的效果,在计算速度上也有所提高。

关 键 词:Log-Gabor小波变换  Adaboost算法  二维人脸表情识别

Facial Expression Recognition Based on Log-Gabor Transformations and ADABOOST
LI Feng-hua. Facial Expression Recognition Based on Log-Gabor Transformations and ADABOOST[J]. Journal of Liaoning Institute of Technology(Natural Science Edition), 2010, 0(4): 229-231
Authors:LI Feng-hua
Affiliation:LI Feng-hua(Computer Center,Liaoning University of Technology,Jinzhou 121001,China)
Abstract:The recognition efficiency of two-dimension facial expression images influenced by different degrees of sunlight and deformations was elaborated.The input two-dimension facial expression was filter-processed by transforming Log-Gabor wavelets.Two-dimension facial expression was also recognized by means of Adaboost.The accurate recognition efficiency of two-dimension facial expression was still better than ever before even when it was influenced by a certain degree of deformations and sunlight.In addition,the calculating speed was slightly improved as well.
Keywords:wavelet transformation of Log-Gabor  Adaboost algorithm  two-dimension facial expression recognition
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