Facial Expression Recognition Using A CMAC Network with Clustering Memory

ASIA unversity > 資訊學院 > 會議論文 > Item 310904400/5844

jsp.display-item.identifier=請使用永久網址來引用或連結此文件: http://asiair.asia.edu.tw/ir/handle/310904400/5844

题名:	Facial Expression Recognition Using A CMAC Network with Clustering Memory
作者:	Yu-Yi Liao;Jzau-Sheng Lin;Shen-Chuan Tai
贡献者:	National Cheng Kung University
关键词:	CMAC;Facial expression recognition;Feature extraction
日期:	2007-12-20
上传时间:	2009-12-15
出版者:	亞洲大學資訊學院;中華電腦學會
摘要:	In this paper, a facial expression recognition system based on CMAC (Cerebellar Model Articulation Controller) with a clustering memory is presented. Firstly, the facial expression features were automatically extracted and preprocessed from given still images in the JAFFE database in which the frontal view of faces were contained. A 2D DCT was then used to focus the key information of expression characteristics in order to decrease the size of images. Thirdly, a block size of the lower frequency of DCT coefficients is rearranged as input vectors with binary manner to send into the proposed CMAC that can rapidly obtain output using non-linear mapping with a look-up table in training or recognizing phase. Finally, the experimental results demonstrated recognition rates with various block size of coefficients in lower frequency and learning rates to show promising recognition results.
關聯:	2007NCS全國計算機會議 12-20~21
显示于类别:	[資訊學院] 會議論文

文件中的档案:

档案	大小	格式	浏览次数
4032.pdf	417Kb	Adobe PDF	498	检视/开启

在ASIAIR中所有的数据项都受到原著作权保护.