Feature extraction through cross-phase congruency for facial expression analysis

International Journal of Pattern Recognition and Artificial Intelligence

Volumn 23, Issue 3, 2009, Pages 617-635

  Buciu, Ioan ^a   Nafornita, Ioan ^b  

^a UNIVERSITY OF ORADEA   (Romania)

^b POLITEHNICA UNIVERSITY OF TIMISOARA   (Romania)

Author keywords

Facial expression analysis; Feature extraction; Phase congruency

Indexed keywords

DISTANCE-BASED; FACIAL EXPRESSION ANALYSIS; FACIAL EXPRESSION CLASSIFICATION; FACIAL EXPRESSION RECOGNITION; FACIAL EXPRESSIONS; FACIAL FEATURE; FREQUENCY SPACES; GABORJETS; HUMAN FACE ANALYSIS; IMAGE SAMPLES; LINEAR DISCRIMINANT ANALYSIS; NEW APPROACHES; NOVEL METHODS; PHASE CONGRUENCY; STATE OF THE ART;

CLASSIFIERS; COMPUTER VISION; DISCRIMINANT ANALYSIS; FEATURE EXTRACTION; GESTURE RECOGNITION; IMAGE RETRIEVAL; INDEPENDENT COMPONENT ANALYSIS; LEARNING SYSTEMS; PRINCIPAL COMPONENT ANALYSIS;

FACE RECOGNITION;

EID: 67650703186     PISSN: 02180014     EISSN: None     Source Type: Journal    
DOI: 10.1142/S021800140900717X     Document Type: Article

References (33)

1. M. S. Bartlett, J. R. Movellan and T. K. Sejnowski, Face recognition by independent component analysis, IEEE Trans. Neural Networks 13(6) (2002) 1450-1464.
2. P. N. Belhumeur, J. P. Hespanha and D. J. Kriegman, Eigenfaces vs. Fisherfaces: recognition using class specific linear projection, ECCV 1 (1996) 45-58.
3. I. Buciu, C. Kotropoulos and I. Pitas, ICA and Gabor representation for facial expression recognition, Proc. 2003 IEEE Int. Conf. Image Processing (2003), pp. 855-858.
4. A. J. Calder, A. M. Burton, P. Miller, A. W. Young and S. Akamatsu, A principal component analysis of facial expressions, Vis. Res. 41 (2001) 1179-1208.
5. G. Cottrell and J. Metcalfe, Face, gender and emotion recognition using holons, Adv. Neural Inform. Process. Syst. 3 (1991) 564-571.
6. G. Donato, M. S. Bartlett, J. C. Hager, P. Ekman and T. J. Sejnowski, Classifying facial actions, IEEE Trans. Patt. Anal. Mach. Intell. 21(10) (1999) 974-989.
7. B. A. Draper, K. Baek, M. S. Bartlett and J. R. Beveridge, Recognizing faces with PCA and ICA, Comput. Vis. Imag. Underst. 91;
8. Special issue on Face Recognition, (2003) 115-137.
9. B. Fasel and J. Luettin, Automatic facial expression analysis: a survey, Patt. Recogn. 1(30) (2003) 259-275.
10. D. J. Field, Relations between the statistics of natural images and the response properties of cortical cells, J. Opt. Soc. America A 4(12) (1987) 2379-2394.
11. D. J. Field, What the statistics of natural images tell us about visual coding, SPIE: Human Vision, Visual Processing, and Digital Display 1077(12) (1989) 269-276.
12. T. Kanade, J. Cohn and Y. Tian, Comprehensive database for facial expression analysis, Proc. IEEE Int. Conf. Face and Gesture Recognition (2000), pp. 46-53.
13. P. Kovesi, Image features from phase congruency, Videre: J. Comput. Vis. Res. 1(3) (1999) 1-27.
14. P. Kovesi, Phase congruency: a low-level image invariant, Psych. Res. 64 (2000) 136-148.
15. P. Kovesi, Phase congruency detects corners and edges, DICTA, Sydney (December, 2003).
16. G. Littlewort, M. Bartlett, I. Fasel, J. Chenu, T. Kanda, H. Ishiguro and J. Movellan, Towards social robots: automatic evaluation of human-robot interaction by face detection and expression classification, Adv. Neural Inform. Process. Syst. 16 (2004) 1563-1570.
17. M. J. Lyons, S. Akamatsu, M. Kamachi and J. Gyoba, Coding facial expressions with Gabor wavelets, Proc. Third IEEE Int. Conf. Automatic Face and Gesture Recognition (1998), pp. 200-205.
18. B. Moghaddam, Principal manifolds and Bayesian subspaces for visual recognition, Int. Conf. Computer Vision (ICCV'99) (1999), pp. 1131-1136.
19. M. C. Morrone, J. R. Ross, D. C. Burr and R. A. Owens, Mach bands are phase dependent, Nature 324 (1986) 250-253.
20. A. V. Oppenheim and J. S. Lim, The importance of phase in signals, Proc. IEEE 69 (1981) 529-541.
21. C. Padgett and G. Cottrell, Representing face images for emotion classification, Adv. Neural Inform. Process. Syst. 9 (1997) 894-900.
22. M. Pantic and L. J. M. Rothkrantz, Automatic analysis of facial expressions: the state-of-the-art, IEEE Trans. Patt. Anal. Mach. Intell. 22(12) (2000) 1424-1445.
23. M. Pantic and L. J. M. Rothkrantz, Expert system for automatic analysis of facial expressions, Imag. Vis. Comput. 18(11) (2000) 881-905.
24. M. Pantic and L. J. M. Rothkrantz, Facial action recognition for facial expression analysis from static face images, IEEE Trans. Syst. Man Cybern. Part B 34(3) (2004) 1449-1461.
25. Y. Peng, L. Qingshan and D. N. Metaxas, Boosting coded dynamic features for facial action units and facial expression recognition, Proc. 2007 IEEE Int. Conf. Computer Vision and Pattern Recognition (2007), pp. 1-7.
26. J. C. Platt, Fast training of support vector machines using sequential minimal optimization, Adv. Kernel Methods - Support Vector Learning 12 (1999) 185-208.
27. J. C. Platt, N. Cristianini and J.-S. Taylor, Large margin DAGs for mutliclass classification, Adv. Neural Inform. Process. Syst. 12 (2000) 547-553.
28. M. G. A. Thomson, Visual coding and the phase structure of natural scenes, Network: Comput. Neural Syst. 10 (1999) 123-132.
29. Y.-Li Tian, T. Kanade and J. Cohn, Evaluation of gaborwavelet-based facial action unit recognition in image sequences of increasing complexity, Proc. Fifth IEEE Int. Conf. Automatic Face and Gesture Recognition (May 2002), pp. 229-234.
30. V. Vapnik, The Nature of Statistical Learning Theory (Springer-Verlag, 1995).
31. S. Venkatesh and R. A. Owens, An energy feature detection scheme, Int. Conf. Image Processing (1989), pp. 553-557.
32. L. Wiskott, J.-M. Fellous, N. Kruger and C. von der Malsburg, Face recognition by elastic bunch graph matching, Int. Conf. Image Processing (1997), pp. 129-132.
33. Z. Zhang, M. Lyons, M. Schuster and S. Akamatsu, Comparison between geometry-based and Gabor-wavelets-based facial expression recognition using multi-layer perceptron, Proc. Third IEEE Int. Conf. Automatic Face and Gesture Recognition (14-16, April, 1998), Nara Japan (1998), pp. 454-459.