Sparse Coding Trees with application to emotion classification

IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops

Volumn 2015-October, Issue , 2015, Pages 77-86

  Chen, Hsieh Chung ^a   Comiter, Marcus Z ^a   Kung, H T ^a   McDanel, Bradley ^a  

^a HARVARD UNIVERSITY   (United States)

Author keywords

Accuracy; Dictionaries; Encoding; Face; Feature extraction; Image coding; Teeth

Indexed keywords

CODES (SYMBOLS); COMPUTER VISION; ENCODING (SYMBOLS); FEATURE EXTRACTION; GLOSSARIES; IMAGE CODING;

ACCURACY; CLASSIFICATION PERFORMANCE; CLASSIFICATION RESULTS; EMOTION CLASSIFICATION; FACE; NON-NEGATIVITY CONSTRAINTS; SUPERVISED CLASSIFICATION; TEETH;

CLASSIFICATION (OF INFORMATION);

EID: 84952043834     PISSN: 21607508     EISSN: 21607516     Source Type: Conference Proceeding    
DOI: 10.1109/CVPRW.2015.7301357     Document Type: Conference Paper

References (35)

1. G. Bradski. The OpenCV Library. Dr. Dobb's Journal of Software Tools, 2000. 6
2. Emmanuel J Candes, Justin K Romberg, and Terence Tao. Stable signal recovery from incomplete and inaccurate measurements. Communications on pure and applied mathematics, 59 (8): 1207-1223, 2006. 3
3. Abhinav Dhall, Roland Goecke, Jyoti Joshi, Karan Sikka, and Tom Gedeon. Emotion recognition in the wild challenge 2014: Baseline, data and protocol. In Proceedings of the 16th International Conference on Multimodal Interaction, pages 461-466. ACM, 2014. 6, 7
4. Abhinav Dhall, Roland Goecke, Simon Lucey, and Tom Gedeon. Collecting large, richly annotated facialexpression databases from movies. IEEE MultiMedia, (3): 34-41, 2012. 6
5. Bradley Efron, Trevor Hastie, Iain Johnstone, Robert Tibshirani, et al. Least angle regression. The Annals of statistics, 32 (2): 407-499, 2004. 3
6. Paul Ekman andWallace V Friesen. Facial action coding system. 1977. 7
7. Ian Fasel, Bret Fortenberry, and Javier Movellan. A generative framework for real time object detection and classification. Computer Vision and Image Understanding, 98 (1): 182-210, 2005. 2
8. Trevor Hastie, Robert Tibshirani, Jerome Friedman, T Hastie, J Friedman, and R Tibshirani. The elements of statistical learning, volume 2. Springer, 2009. 2
9. Patrik O Hoyer. Non-negative matrix factorization with sparseness constraints. The Journal of Machine Learning Research, 5: 1457-1469, 2004. 3, 5
10. The MPLab GENKI-4K Dataset. http://mplab.ucsd.edu. 6
11. Raffi Khatchadourian. We know how you feel, January 2015. 1
12. Daniel D Lee and H Sebastian Seung. Learning the parts of objects by non-negative matrix factorization. Nature, 401 (6755): 788-791, 1999. 3
13. Honglak Lee, Roger Grosse, Rajesh Ranganath, and Andrew Y Ng. Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations. In Proceedings of the 26th Annual International Conference on Machine Learning, pages 609-616. ACM, 2009. 2
14. Tsung-Han Lin and H. T. Kung. Stable and efficient representation learning with nonnegativity constraints. Proceedings of the 31st International Conference on Machine Learning, 32, 2014. 2, 3
15. Ping Liu, Shizhong Han, and Yan Tong. Improving facial expression analysis using histograms of logtransformed nonnegative sparse representation with a spatial pyramid structure. In Automatic Face and Gesture Recognition (FG), 2013 10th IEEE International Conference and Workshops on, pages 1-7. IEEE, 2013. 3
16. Patrick Lucey, Jeffrey F Cohn, Takeo Kanade, Jason Saragih, Zara Ambadar, and Iain Matthews. The extended cohn-kanade dataset (ck+): A complete dataset for action unit and emotion-specified expression. In Computer Vision and Pattern Recognition Workshops (CVPRW), 2010 IEEE Computer Society Conference on, pages 94-101. IEEE, 2010. 6
17. Mohammad H Mahoor, Mu Zhou, Kevin L Veon, Seyed Mohammad Mavadati, and Jeffrey F Cohn. Facial action unit recognition with sparse representation. In Automatic Face & Gesture Recognition and Workshops (FG 2011), 2011 IEEE International Conference on, pages 336-342. IEEE, 2011. 3
18. Julien Mairal, Francis Bach, Jean Ponce, and Guillermo Sapiro. Online dictionary learning for sparse coding. In Proceedings of the 26th Annual International Conference on Machine Learning, pages 689-696. ACM, 2009. 2, 3
19. Julien Mairal, Francis Bach, Jean Ponce, and Guillermo Sapiro. Online learning for matrix factorization and sparse coding. The Journal of Machine Learning Research, 11: 19-60, 2010. 3
20. MJ McDonnell. Box-filtering techniques. Computer Graphics and Image Processing, 17 (1): 65-70, 1981. 2
21. Daniel McDuff, Rana El Kaliouby, Thibaud Senechal, May Amr, Jeffrey F Cohn, and Rosalind Picard. Affectiva-mit facial expression dataset (am-fed): Naturalistic and spontaneous facial expressions collected" in-the-wild". In Computer Vision and Pattern Recognition Workshops (CVPRW), 2013 IEEE Conference on, pages 881-888. IEEE, 2013. 6, 7
22. Deanna Needell and Joel A Tropp. Cosamp: iterative signal recovery from incomplete and inaccurate samples. Communications of the ACM, 53 (12): 93-100, 2010. 3
23. Andrew Y Ng. Feature selection, l 1 vs. l 2 regularization, and rotational invariance. In Proceedings of the twenty-first international conference on Machine learning, page 78. ACM, 2004. 3
24. Andrew Y Ng, Michael I Jordan, Yair Weiss, et al. On spectral clustering: Analysis and an algorithm. Advances in neural information processing systems, 2: 849-856, 2002. 4
25. Raymond Ptucha and Andreas Savakis. Lge-ksvd: Flexible dictionary learning for optimized sparse representation classification. In Computer Vision and Pattern Recognition Workshops (CVPRW), 2013 IEEE Conference on, pages 854-861. IEEE, 2013. 6
26. Elias Rentzeperis, Andreas Stergiou, Aristodemos Pnevmatikakis, and Lazaros Polymenakos. Impact of face registration errors on recognition. In Artificial Intelligence Applications and Innovations, pages 187-194. Springer, 2006. 2
27. Thibaud Sénéchal, Jay Turcot, and Rana El Kaliouby. Smile or smirk? automatic detection of spontaneous asymmetric smiles to understand viewer experience. In Automatic Face and Gesture Recognition (FG), 2013 10th IEEE International Conference and Workshops on, pages 1-8. IEEE, 2013. 2
28. Caifeng Shan. Smile detection by boosting pixel differences. Image Processing, IEEE Transactions on, 21 (1): 431-436, 2012. 2
29. Sareh Shirazi, Mehrtash T Harandi, Brian C Lovell, and Conrad Sanderson. Object tracking via noneuclidean geometry: A grassmann approach. In Applications of Computer Vision (WACV), 2014 IEEE Winter Conference on, pages 901-908. IEEE, 2014. 4
30. Jasper Snoek, Hugo Larochelle, and Ryan P. Adams. Practical bayesian optimization of machine learning algorithms. Technical report, 2012. 6
31. Joel A Tropp and Anna C Gilbert. Signal recovery from random measurements via orthogonal matching pursuit. Information Theory, IEEE Transactions on, 53 (12): 4655-4666, 2007. 3
32. http://mplab.ucsd.edu. The MPLab GENKI Database, GENKI-4K Subset. 6
33. Jacob Whitehill, Gwen Littlewort, Ian Fasel, Marian Bartlett, and Javier Movellan. Developing a practical smile detector. In Proc. IEEE Int. Conf. Automatic Face and Gesture Recognition, 2008. 2, 7
34. Jacob Whitehill, Gwen Littlewort, Ian Fasel, Marian Bartlett, and Javier Movellan. Toward practical smile detection. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 31 (11): 2106-2111, 2009. 6
35. Jianchao Yang, Kai Yu, Yihong Gong, and Thomas Huang. Linear spatial pyramid matching using sparse coding for image classification. In Computer Vision and Pattern Recognition, 2009. CVPR 2009. IEEE Conference on, pages 1794-1801. IEEE, 2009. 2