DocumentCode :
3412308
Title :
Recognition of face expressions using Local Principal Texture Pattern
Author :
Ramirez Rivera, Adin ; Rojas Castillo, Jorge A. ; Chae, Oksam
Author_Institution :
Dept. of Comput. Eng., Kyung Hee Univ., Yongin, South Korea
fYear :
2012
fDate :
Sept. 30 2012-Oct. 3 2012
Firstpage :
2609
Lastpage :
2612
Abstract :
Deriving an effective facial feature from original face images is a vital step for a successful automatic facial expression recognition. In this paper, we proposed a new feature descriptor, Local Principal Texture Pattern (LPTP), for expression recognition. We compute the LPTP feature, at each pixel, by extracting the principal directions of the local neighborhood, and we code the intensity differences on these directions. The mixture of direction and contrast information makes our descriptor robust against rotation and illumination changes. Consequently, we represent each expression as a distribution of LPTP codes. Our experiments demonstrate the superiority of the proposed feature, on two facial expression databases, over the existing methods.
Keywords :
emotion recognition; face recognition; image coding; image texture; LPTP code; automatic facial expression recognition; face expression recognition; facial feature; feature descriptor; local principal texture pattern; principal direction extraction; Databases; Face; Face recognition; Feature extraction; Kernel; Support vector machines; Image representation; face expression recognition; feature extraction; local principal texture pattern;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2012 19th IEEE International Conference on
Conference_Location :
Orlando, FL
ISSN :
1522-4880
Print_ISBN :
978-1-4673-2534-9
Electronic_ISBN :
1522-4880
Type :
conf
DOI :
10.1109/ICIP.2012.6467433
Filename :
6467433
Link To Document :
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