DocumentCode
2170579
Title
Facial Expression Recognition Based on Fusion Features of LBP and Gabor with LDA
Author
Bai, Gang ; Jia, Wanhong ; Jin, Yang
Author_Institution
Coll. of Inf. & Technol., Nankai Univ., Tianjin, China
fYear
2009
fDate
17-19 Oct. 2009
Firstpage
1
Lastpage
5
Abstract
In this paper, the novel facial expression recognition approach using fusion features of LBP and Gabor (FFLG) is proposed. At first, local binary patterns (LBPs) and Gabor wavelet features are extracted from facial images, and then Weighed LBP Gabor complex features (WLGCF) are obtained by weighing and combining. Finally, the WLGCF as recognition features are generated with LDA algorithm to represent facial expression effectively. The experiments show our approach feasible.
Keywords
face recognition; wavelet transforms; Gabor wavelet features; LDA algorithm; facial expression recognition; facial images; fusion features; local binary patterns; weighed LBP Gabor complex features; Data mining; Educational institutions; Face recognition; Feature extraction; Histograms; Image edge detection; Linear discriminant analysis; Pattern recognition; Pixel; Robustness;
fLanguage
English
Publisher
ieee
Conference_Titel
Image and Signal Processing, 2009. CISP '09. 2nd International Congress on
Conference_Location
Tianjin
Print_ISBN
978-1-4244-4129-7
Electronic_ISBN
978-1-4244-4131-0
Type
conf
DOI
10.1109/CISP.2009.5304655
Filename
5304655
Link To Document