摘要
本文基于人脸表情图像的特点展开分析,得出不同表情图像中人脸各五官在形貌性状方面的不同。分析了小波变换这一数学工具在变换并展示图像空间以及频域特性方面的特长,将其应用于人脸表情识别的研究工作中。调试小波变换的参数将不同参数对人脸表情图像的处理结果进行分析并得出结论。
This article studied and observed the characteristic of the human facial expression and got the conclusion that different type of expression varies on the figure of facial organs.Analyzed the advantage of wavelet transform on exhib-iting expression images’ space and frequency character.Then practiced it in the study of expression recognition.De-bugged the parameter of the wavelet transform,then analyzed the processing results and brought the point.
出处
《长春理工大学学报（自然科学版）》
2011年第3期142-145,共4页
Journal of Changchun University of Science and Technology(Natural Science Edition)
关键词
人脸表情识别
小波变换
图像处理
facial expression recognition
wavelet transform
image processing
