Local directional pattern variance (LDPv): A robust feature descriptor for facial expression recognition

International Arab Journal of Information Technology

Volumn 9, Issue 4, 2012, Pages

  Kabir, Mohammad ^a   Jabid, Taskeed ^a   Chae, Oksam ^a  

^a Kyung Hee University   (South Korea)

Author keywords

Facial expression recognition; Feature descriptor; LDP variance (LDPv); Local directional pattern (LDP); Principal component analysis (PCA); Support vector machine (SVM) classifier

Indexed keywords

EID: 83255171007     PISSN: 16833198     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (35)

1. Ahonen T., Hadid A., and Pietikainen M., "Face description with Local Binary Patterns: application to face recognition', IEEE Transaction on Pattern Analysis and Machine Intelligence, vol. 28, no. 12, pp. 2037-2041, Dec. 2006.
2. Ahonen T., Hadid A., and Pietikäinen M., "Face recognition with local binary patterns," in Proc. European Conference on Computer Vision (ECCV), pp. 469-481, 2004.
3. Bassili J.N., "Emotion recognition: the role of facial movement and the relative importance of upper and lower area of the face," Journal of Personality and Social Psychology, vol. 37, no. 11, pp. 2049-2058, 1979.
4. Bartlett M.S., Littlewort G., Frank M., Lainscsek C., Fasel I., Movellan J., "Recognizing facial expression: machine learning and application to spontaneous behavior," in Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 568-573, 2005.
5. Bartlett M.S., Movellan J.R., and Sejnowski T.J., "Face recognition by independent component analysis', IEEE Transactions on Neural Networks, vol. 13, pp. 1450-1464, 2002.
6. Brunelli R., Poggio T., "Face recognition: features versus templates," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 15, no. 10, pp. 1042-1052, 1993.
7. Chao-Fa C., and Shin F.Y., "Recognizing facial action units using independent component analysis and support vector machine," Pattern Recognition, vol. 39, no. 9, pp. 1795-1798, Sep. 2006.
8. Cohen I., Sebe N., Garg A., Chen L., Huang T.S., "Facial expression recognition from video sequences: temporal and static modeling," Computer Vision and Image Understanding, vol. 91, no. 1-2, pp. 160-187, 2003.
9. Donato G., Bartlett M.S., Hagar J.C., Ekman P., and Sejnowski T.J., "Classifying facial actions," IEEE Transaction on Pattern Analysis and Machine Intelligence, vol. 21, no. 10, pp. 974-989, 1999.
10. Ekman P., and Friesen W., Facial Action Coding System: A Technique for Measurement of Facial Movement, Consulting Psychologists Press, 1978.
11. Fasel B., and Luettin J., "Automatic facial expression analysis: a survey," Pattern Recognition, vol. 36, no. 1, pp. 259-275, Jan 2003.
12. Gundimada S., and Asari V.K., "Facial Recognition Using Multisensor Images Based on Localized Kernel Eigen Spaces," IEEE Trans. on Image Processing, vol. 18, no. 6, pp. 1314-1325, 2009.
13. Hsu C.-W., and Lin C.-J., "A comparison on methods for multi-class support vector machines," IEEE Transactions on Neural Networks, vol. 13, pp. 415-425, 2002.
14. Jabid T., Kabir M.H., and Chae O.S., "Local Directional Pattern (LDP) for face recognition," in Proc. IEEE International Conference on Consumer Electronics, pp 329-330, 2010.
15. Kanade T., Cohn J., Tian Y., "Comprehensive database for facial expression analysis," in Proc. IEEE International Conference on Automatic Face & Gesture Recognition, pp. 46-53, 2000.
16. Kumar C.A., "Analysis of unsupervised dimensionality reduction techniques," Computer Science and Information Systems, vol. 6, no. 2, pp. 217-227, Dec. 2009.
17. Lajevardi S.M. and Hussain Z.M., "Feature extraction for facial expression recognition based on hybrid face regions," Advances in Electrical and Computer Engineering, vol. 9, no. 3, pp. 63- 67, Oct. 2009.
18. Lajevardi S.M. and Hussain Z.M., "Higher order orthogonal moments for invariant facial expression recognition," Digital Signal Processing, doi:10.1016/j.dsp.2010.03.004, 2010.
19. Manjunath B.S., Ma W.Y., Texture features for browsing and retrieval of image data, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 18, no. 8, pp. 837-842, 1999.
20. Meulders M., Boeck P.D., Mechelen I.V., and Gelman A., "Probabilistic feature analysis of facial perception of emotions," Applied Statistics, vol. 54, no. 4, pp. 781-793, 2005.
21. Ojala T., and Pietikainen M., "Multiresolution gray-scale and rotation invariant texture classification with Local Binary Patterns," IEEE Transaction on Pattern Analysis and Machine Intelligence, vol. 24, no. 7, pp. 971-987, 2002.
22. Pantic M., and Rothkrantz L.J.M., "Automatic analysis of facial expressions: the state of the art,' IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 22, no. 12, pp. 1424-1445, Dec 2000.
23. Qader H.A., Ramli A.R., and Haddad S.A., "Fingerprint recognition using Zernike moments,' International Arab Journal of Information Technology, vol. 4, no. 4, pp. 372- 376, 2007.
24. Shan C., Gong S., and McOwan P. W., "Robust facial expression recognition using Local Binary Patterns,' in Proc. IEEE International Conference Image Processing, pp. 914-917, 2005
25. Shan C., Gong S., and McOwan P.W., "Facial expression recognition based on Local Binary Patterns: a comprehensive study,' Image and Vision Computing, vol. 27, no. 6, pp. 803-816, May 2009.
26. Tian Y.-L., Brown L., Hampapur A., Pankanti S., Senior A.W., and Bolle R.M., "Real world realtime automatic recognition of facial expressions,' in Proc. IEEE workshop on Performance Evaluation of Tracking and Surveillance, pp. 9-16, 2003.
27. Tian Y., Kanade T., and Cohn J.F., Facial Expression Analysis: Handbook of Face Recognition, Springer, Oct 2003.
28. Tian Y., "Evaluation of face resolution for expression analysis," in Proc. CVPR Workshop on Face Processing in Video, pp. 82, 2004.
29. Turk M.A., and Pentland A.P., "Face recognition using eigenfaces," in Proc. of Computer Vision and Pattern Recognition, pp. 586-591, 1991.
30. Uddin M.Z., Lee J.J., Kim T.-S., "An enhanced independent component-based human facial expression recognition from video,' IEEE Trans. Consumer Electronics, vol. 55, no. 4, pp. 2216-2224, Nov. 2009.
31. Valstar M., Patras I., and Pantic M., "Facial action unit detection using probabilistic actively learned support vector machines on tracked facial point data," in Proc. IEEE Conference on Computer Vision and Pattern Recognition Workshop, vol. 3, pp. 76-84, 2005.
32. Valstar M., and Pantic M., "Fully automatic facial action unit detection and temporal analysis," in Proc. IEEE Conference on Computer Vision and Pattern Recognition Workshop, p. 149, 2006.
33. Zhang Z., Lyons M.J., Schuster M., and Akamatsu S., 'Comparison between geometry-based and Gabor-wavelets-based facial expression recognition using multi-layer perceptron,' in Proc. IEEE International Conference on Automatic Face & Gesture Recognition (FG), pp. 454-459, 1998.
34. Zhao G., and Pietikainen M., Boosted multiresolution spatiotemporal descriptors for facial expression recognition,' Pattern Recognition Letters, vol. 30, no. 12. pp. 1117-1127, Sep. 2009.
35. Zhou H., Wang R., and Wang C., "A novel extended local-binary-pattern operator for texture analysis," Information Sciences, vol. 178, no. 22, pp. 4314-4325, Nov 2008.