Paper Info
Title
Facial expression recognition in perceptual color space.
Abstract
This paper introduces a tensor perceptual color framework (TPCF) for facial expression recognition (FER), which is based on information contained in color facial images. The TPCF enables multi-linear image analysis in different color spaces and demonstrates that color components provide additional information for robust FER. Using this framework, the components (in either RGB, YCbCr, CIELab or CIELuv space) of color images are unfolded to two-dimensional (2- D) tensors based on multi-linear algebra and tensor concepts, from which the features are extracted by Log-Gabor filters. The mutual information quotient (MIQ) method is employed for feature selection. These features are classified using a multi-class linear discriminant analysis (LDA) classifier. The effectiveness of color information on FER using low-resolution and facial expression images with illumination variations is assessed for performance evaluation. Experimental results demonstrate that color information has significant potential to improve emotion recognition performance due to the complementary characteristics of image textures. Furthermore, the perceptual color spaces (CIELab and CIELuv) are better overall for facial expression recognition than other color spaces by providing more efficient and robust performance for facial expression recognition using facial images with illumination variation.
Year
DOI
Venue
2012
10.1109/TIP.2012.2197628
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Keywords
Field
DocType
rgb,color information,perceptual color space,multilinear algebra,perceptual color spaces,face recognition,mutual information quotient method,tensor perceptual color framework,log-gabor filter,multilinear image analysis,cieluv space,image resolution,log-gabor filters,multiclass linear discriminant analysis classifier,color facial image,facial expression recognition (fer),gabor filters,cielab,emotion recognition,feature extraction,image classification,cieluv,fer,image low-resolution,feature selection,image texture,ycbcr,color component,illumination variation,facial expression image recognition,tensors,tpcf,feature classification,image colour analysis,emotion recognition performance,2d tensor
YCbCr,Computer vision,HSL and HSV,Facial recognition system,Color space,Color histogram,Pattern recognition,RGB color model,Artificial intelligence,CIELUV,Mathematics,Color image
Journal
Volume
Issue
ISSN
21
8
1941-0042
Citations 
PageRank 
References 
23
0.96
20
Authors
2
Name
Order
Citations
PageRank
Seyed Mehdi Lajevardi11206.77
h r wu2534.67