DocumentCode :
3579846
Title :
Facial Expression Recognition Using Local Feature Selection and the Extended Nearest Neighbor Algorithm
Author :
Sizhi Zhong ; Youguang Chen ; Shuchun Liu
Author_Institution :
Comput. Center, East China Normal Univ., Shanghai, China
Volume :
1
fYear :
2014
Firstpage :
328
Lastpage :
331
Abstract :
Gabor filters are used to extract holistic feature in facial expression recognition. However, local subtle features can´t be extracted effectively and it results in large amounts of data redundancy. In this paper, we proposed a novel facial expression recognition method based on the selection of local Gabor features and the extended nearest neighbor algorithm. The Gabor filter and radial encode is used firstly to divide the expression image into local regions, then PCA and FLD is adopted for feature selection, finally the extended nearest neighbor algorithm is applied to classify the facial expression data. Experiments and analysis conducted on Japanese Female Facial Expression (JAFFE) Database show that this method achieves better efficiency and effectiveness.
Keywords :
Gabor filters; face recognition; feature extraction; feature selection; principal component analysis; redundancy; FLD; Gabor filters; JAFFE database; Japanese female facial expression database; PCA; data redundancy; expression image; extended nearest neighbor algorithm; facial expression recognition method; holistic feature extraction; local Gabor feature selection; local subtle feature extraction; Algorithm design and analysis; Classification algorithms; Databases; Face recognition; Feature extraction; Principal component analysis; extended nearest neighbor algorithm; facial expression recognition; feature selection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Design (ISCID), 2014 Seventh International Symposium on
Print_ISBN :
978-1-4799-7004-9
Type :
conf
DOI :
10.1109/ISCID.2014.108
Filename :
7064202
Link To Document :
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