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http://dx.doi.org/10.3745/KTSDE.2016.5.1.43

A Study on Appearance-Based Facial Expression Recognition Using Active Shape Model  

Kim, Dong-Ju (동서대학교 컴퓨터공학부)
Shin, Jeong-Hoon (대구가톨릭대학교 IT공학부)
Publication Information
KIPS Transactions on Software and Data Engineering / v.5, no.1, 2016 , pp. 43-50 More about this Journal
Abstract
This paper introduces an appearance-based facial expression recognition method using ASM landmarks which is used to acquire a detailed face region. In particular, EHMM-based algorithm and SVM classifier with histogram feature are employed to appearance-based facial expression recognition, and performance evaluation of proposed method was performed with CK and JAFFE facial expression database. In addition, performance comparison was achieved through comparison with distance-based face normalization method and a geometric feature-based facial expression approach which employed geometrical features of ASM landmarks and SVM algorithm. As a result, the proposed method using ASM-based face normalization showed performance improvements of 6.39% and 7.98% compared to previous distance-based face normalization method for CK database and JAFFE database, respectively. Also, the proposed method showed higher performance compared to geometric feature-based facial expression approach, and we confirmed an effectiveness of proposed method.
Keywords
Active Shape Model(ASM); Face Normalization; Facial Expression Recognition;
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Times Cited By KSCI : 3  (Citation Analysis)
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1 T. F. Cootes, C. J. Taylor, D. H. Cooper and J. Graham, "Active shape models - their training and application," Computer Vision and Image Understanding, Vol.61, pp.38-59, 1995.   DOI
2 T. F. Cootes, G. J. Edwards, and C. J. Taylor, "Active appearance models," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol.23, No.6, pp.681-685, 2001.   DOI
3 T. S. Lee, "Image representation using 2D Gabor wavelets," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol.18, No.10, pp.959-971, 1996.   DOI
4 Hyunsup Yoon, Youngjoon Han, and Hernsoo Hahn, "Real-time Recognition System of Facial Expressions Using Principal Component of Gabor-wavelet Features," Journal of The Korean Institute of Intelligent Systems, Vol.19, No.6, pp. 821-827, 2009.   DOI
5 C. Shan, S. Gong, and P. W. McOwan, "Facial Expression Recognition based on Local Binary Patterns: A Comprehensive Study," Image and Vision Computing, Vol.27, No.6, pp. 803-816, 2009.   DOI
6 T. Jabid, M. H. Kabir, and O. Chae, "Robust Facial Expression Recognition based on Local Directional Pattern," ETRI Journal, Vol.32, No.5, pp.784-794, 2010.   DOI
7 Dong-Ju Kim, Sang-Heon Lee, and Myoung-Kyu Sohn, "Feature Extraction Method of 2D-DCT for Facial Expression Recognition," KIPS Transactions on Software and Data Engineering, Vol.3, No.3, pp.135-138, 2014.   DOI
8 J. Cao and C. Tong, "Facial expression recognition based on LBP-EHMM," 2008 Congress on Image and Signal Processing, pp.371-375, 2008.
9 X. Li, Q. Ruan, and Y. Ming, "A Remarkable Standard for Estimating he Performance of 3D Facial Expression Features," Neurocomputing, Vol.82, pp.99-108, 2012.   DOI
10 P. Viola and M. J. Jones, "Robust real-time object detection," Technical Report Series, Compaq Cambridge research Laboratory, CRL 2001/01, 2001.
11 S. Milborrow, J. Morkel, and F. Nicolls, "The MUCT Landmarked Face Database," in Proc. Pattern Recognition Association of South Africa, 2010.
12 T. Kanade, J. Cohn, and Y. Tian, "Comprehensive Database for Facial Expression Analysis," IEEE International Conference Automatic Face Gesture Recognition, pp.46-53, 2000.
13 M. J. Lyons, J. Budynek, and S. Akamatsu, "Automatic Classification of Single Facial images," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol.21, No.12, pp.357-1362, 1999.