Facial expression recognition approach based on 2DLDA and PSO

Author

Yuanhao, Guo ; Wei, Jiang ; Jianfei, Liu ; Zhiyuan, Yu

Author_Institution

Sch. of Inf. Sci. & Eng., Shandong Univ., Jinan, China

fYear

2011

fDate

25-28 Sept. 2011

Firstpage

402

Lastpage

406

Abstract

A novel facial expression recognition approach based on 2DLDA and PSO is proposed in this paper. The multiresolution and multidirectional Contourlet transform is first adopted to decrease the data of expression images and extract frequency and direction elements which are beneficial to FER. Then the 2DLDA is used to extract expression features in order to reduce the dimensions of feature space. Finally, the PSO algorithm is used to optimize the features obtained. Moreover, the impact of iterations of PSO on recognition rate is researched based on the JAFEE database. Experimental results show that the method proposed in this paper is more robust and obtains higher accuracy.

Keywords

face recognition; iterative methods; particle swarm optimisation; 2DLDA; FER; PSO; facial expression recognition; iterations; multidirectional contourlet transform; multiresolution; particle swarm optimization; Accuracy; Face recognition; Feature extraction; Hafnium; Optimization; Training; Transforms; 2DLDA; Contourlet transform; Expression recognition; PSO; optimization;

fLanguage

English

Publisher

ieee

Conference_Titel

Communication Technology (ICCT), 2011 IEEE 13th International Conference on

Conference_Location

Jinan

Print_ISBN

978-1-61284-306-3

Type

conf

DOI

10.1109/ICCT.2011.6157906

Filename

6157906