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
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;
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
DOI :
10.1109/CISP.2009.5304655
