Extraction of the minimum number of Gabor wavelet parameters for the recognition of natural facial expressions

Rosdiyana Samad1, Hideyuki Sawada1
1Department of Intelligent Mechanical Systems Engineering, Faculty of Engineering, Kagawa University, 2217-20 Hayashi-cho, Takamatsu, Kagawa, 761-0396, Japan

Tóm tắt

Từ khóa


Tài liệu tham khảo

Lee YB, Moon SB, Kim YG (2005) Face and facial expression recognition with an embedded system for human-robot interaction. Lect Notes Comput Sci 3784:271–278

Ge SS, Wang C, Hang CC (2008) Facial expression imitation in human-robot interaction. Proceedings of the 17th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN, Munich, August 1–3, 2008, pp 213–218

Suzuki K, et al (2008) Detection of unusual facial expression for human support systems. Proceedings of the 34th IEEE Annual Conference of the Industrial Electronics Society, IECON 2008, Florida, USA, November 10–13, 2008, pp 3414–3418

Shan C, Braspenning R (2009) Recognizing facial expressions automatically from video. Handbook of ambient intelligence and smart environments. Springer, New York, 2009, pp 479–509

Fasel B, Luettin J (2003) Automatic facial expression analysis: a survey. Pattern Recognit 36:259–275

Deng HB, et al (2005) A new facial expression recognition method based on local Gabor filter bank and PCA plus LDA. Int J Inf Technol 11(11):86–96

Loh MP, Wong YP, Wong CO (2006) Facial expression recognition for e-learning system using Gabor wavelet and neural network. Proceedings of the 6th IEEE International Conference on Advance Learning Technology, ICALT 2006, Kerkrade, The Netherlands, July 5–7, 2006, pp 523–525

Lu L, Shi P (2009) A novel fusion-based method for expressioninvariant gender classification. Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2009, Taipei, Taiwan, April 19–24, 2009, pp 1065–1068

Anderson K, McOwan PW (2006) A real-time automated system for the recognition of human facial expressions. IEEE Trans Syst Man Cybern, Part B, Cybern 36(1): 96–105

Wallhoff F (2006) Facial expressions and emotion database. Technische Universitat Munchen. http://www.mmk.ei.tum.de/~waf/fgnet/feedtum.html

Vukadinovic D, Pantic M (2005) Fully automatic facial feature point detection using Gabor feature-based boosted classifier. Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, vol 2, pp 1692–1698

Lee TS (1996) Image representation using 2D Gabor wavelets. IEEE Trans Pattern Anal Mach Intell 18:959–971

Shen L, Bai L (2006) A review of Gabor wavelets for face recognition. J Pattern Anal Appl 9(23):273–292

Kotsia I, Buciu I, Pitas I (2008) An analysis of facial expression recognition under partial facial image occlusion. J Image Vision Comput 26:1052–1067

Bradski G, Kaehler A (2008) Learning Open CV. O’Reilly Media, USA

Smith LI (2002) A tutorial on principal component analysis. Cornell University, pp 2–22

Hsu CW, Chang CC, Lin CJ (2003) A practical guide to support vector classification. Technical Report, Department of Computer Science, National Taiwan University

Hsu CW, Lin CJ (2002) A comparison of methods for multiclass support vector machines. IEEE Trans Neutral Network 13(2): 415–425

Chih JL, Chih CC (2001) LIBSVM: a library for support vector machines. http://www.csie.ntu.edu.tw/~cjlin/libsvm

Martin C, Werner U, Gross HM (2008) A real-time facial expression recognition system based on active appearance models using gray images and edge images. Proceedings of the 8th IEEE International Conference on Face and Gesture Recognition (FG’08), Armsterdam, September 17–19, pp 1–6

Hupont I, Cerezo E, Baldassarri S (2008) Facial emotional classifier for natural interaction. Electron Lett Comput Vision Image Anal 7(4):1–12

Lajevardi SM, Lech M (2008) Averaged Gabor filter features for facial expression recognition. International Conference on Digital Image Computing: Techiques and Applications (DICTA’08), Canberra, December 1–3, pp 71–76

Bashyal S, Venayagamoorthy GK (2008) Recognition of facial expressions using Gabor wavelets and learning vector quantization. J Eng Appl Artif Intell 21:1056–1064

Ou J, et al (2010) Automatic facial expression recognition using gabor filter and expression analysis. International Conference on Computer Modeling and Simulation (ICCMS), Sanya, China, January 22–24, pp 215–218