2D-3D face recognition via restricted boltzmann machines

VISAPP 2014 - Proceedings of the 9th International Conference on Computer Vision Theory and Applications

Volumn 2, Issue , 2014, Pages 574-580

  Wang, Xiaolong ^a   Ly, Vincent ^a   Guo, Rui ^b   Kambhamettu, Chandra ^a  

^a UNIVERSITY OF DELAWARE   (United States)

^b UNIVERSITY OF TENNESSEE   (United States)

Author keywords

Canonical Correlation Analysis; Feature Extraction; Heterogeneous Face Recognition; Matching; Restricted Boltzmann Machines

Indexed keywords

COMPUTER VISION; FEATURE EXTRACTION; LEARNING SYSTEMS; NETWORK LAYERS;

CANONICAL CORRELATION ANALYSIS; CORRELATION MAPPING; HIDDEN LAYERS; LEARNING MODELS; LEARNING SCHEMES; MATCHING; RESTRICTED BOLTZMANN MACHINE; SHARED SPACES;

FACE RECOGNITION;

EID: 84906892374     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.5220/0004736505740580     Document Type: Conference Paper

References (27)

1. Bengio, Y. (2009). Learning deep architectures for ai. Foundations and trends R in Machine Learning, 2 (1): 1-127.
2. Dhillon, P., Foster, D. P., and Ungar, L. H. (2011). Multiview learning of word embeddings via cca. In Advances in Neural Information Processing Systems, pages 199-207.
3. Guo, G. and Wang, X. (2012). A study on human age estimation under facial expression changes. In Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on, pages 2547-2553. IEEE.
4. Hardoon, D. R., Szedmak, S., and Shawe-Taylor, J. (2004). Canonical correlation analysis: An overview with application to learning methods. Neural Computation, 16 (12): 2639-2664.
5. Hinton, G. E. and Salakhutdinov, R. R. (2006). Reducing the dimensionality of data with neural networks. Science, 313 (5786): 504-507.
6. Hotelling, H. (1936). Relations between two sets of variates. Biometrika, 28 (3/4): 321-377.
7. Huang, D., Ardabilian, M., Wang, Y., and Chen, L. (2010). Automatic asymmetric 3d-2d face recognition. In Pattern Recognition (ICPR), 2010 20th International Conference on, pages 1225-1228. IEEE.
8. Huang, D., Ardabilian, M., Wang, Y., and Chen, L. (2012). Oriented gradient maps based automatic asymmetric 3d-2d face recognition. In Biometrics (ICB), 2012 5th IAPR International Conference on, pages 125-131. IEEE.
9. Jain, A. K., Ross, A. A. A., and Nandakumar, K. (2011). Introduction to biometrics. Springer.
10. Kim, T.-K., Wong, S.-F., and Cipolla, R. (2007). Tensor canonical correlation analysis for action classification. In Computer Vision and Pattern Recognition, 2007. CVPR'07. IEEE Conference on, pages 1-8. IEEE
11. Kumar, N., Berg, A. C., Belhumeur, P. N., and Nayar, S. K. (2009). Attribute and simile classifiers for face verification. In Computer Vision, 2009 IEEE 12th International Conference on, pages 365-372. IEEE.
12. Li, A., Shan, S., Chen, X., and Gao, W. (2009). Maximizing intra-individual correlations for face recognition across pose differences. In Computer Vision and Pattern Recognition, 2009. CVPR 2009. IEEE Conference on, pages 605-611. IEEE.
13. Mohamed, A.-r., Dahl, G. E., and Hinton, G. (2012). Acoustic modeling using deep belief networks. Audio, Speech, and Language Processing, IEEE Transactions on, 20 (1): 14-22.
14. Ngiam, J., Khosla, A., Kim, M., Nam, J., Lee, H., and Ng, A. (2011). Multimodal deep learning. In Proceedings of the 28th International Conference on Machine Learning (ICML-11), pages 689-696.
15. Phillips, P. J., Flynn, P. J., Scruggs, T., Bowyer, K. W., Chang, J., Hoffman, K., Marques, J., Min, J., and Worek, W. (2005). Overview of the face recognition grand challenge. In Computer vision and pattern recognition, 2005. CVPR 2005. IEEE computer society conference on, volume 1, pages 947-954. IEEE.
16. Rama, A., Tarres, F., Onofrio, D., and Tubaro, S. (2006). Mixed 2d-3d information for pose estimation and face recognition. In Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on, volume 2, pages II-II. IEEE.
17. Riccio, D. and Dugelay, J.-L. (2005). Asymmetric 3d/2d processing: a novel approach for face recognition. In Image Analysis and Processing-ICIAP 2005, pages 986-993. Springer.
18. Sargin, M. E., Yemez, Y., Erzin, E., and Tekalp, A. M. (2007). Audiovisual synchronization and fusion using canonical correlation analysis. Multimedia, IEEE Transactions on, 9 (7): 1396-1403.
19. Shotton, J., Fitzgibbon, A., Cook, M., Sharp, T., Finocchio, M., Moore, R., Kipman, A., and Blake, A. (2011). Real-time human pose recognition in parts from single depth images. In Computer Vision and Pattern Recognition (CVPR), 2011 IEEE Conference on, pages 1297-1304. IEEE.
20. Slaney, M. and Covell, M. (2000). Facesync: A linear operator for measuring synchronization of video facial images and audio tracks. In NIPS, pages 814-820.
21. Srivastava, N. and Salakhutdinov, R. (2012). Multimodal learning with deep boltzmann machines. In Advances in Neural Information Processing Systems 25, pages 2231-2239.
22. Sutton, R. S. and Barto, A. G. (1998). Reinforcement learning: An introduction, volume 1. Cambridge Univ Press.
23. Vinokourov, A., Cristianini, N., and Shawe-taylor, J. S. (2002). Inferring a semantic representation of text via cross-language correlation analysis. In Advances in neural information processing systems, pages 1473-1480.
24. Wang, H., Klaser, A., Schmid, C., and Liu, C.-L. (2011). Action recognition by dense trajectories. In Computer Vision and Pattern Recognition (CVPR), 2011 IEEE Conference on, pages 3169-3176. IEEE.
25. Wang, X., Ly, V., Guo, G., and Kambhamettu, C. (2013). A new approach for 2d-3d heterogeneous face recognition. In Multimedia (ISM), 2013 IEEE International Symposium on. IEEE.
26. Xu, C., Li, S., Tan, T., and Quan, L. (2009). Automatic 3d face recognition from depth and intensity gabor features. Pattern Recognition, 42 (9): 1895-1905.
27. Yang, W., Yi, D., Lei, Z., Sang, J., and Li, S. Z. (2008). 2d-3d face matching using cca. In Automatic Face & Gesture Recognition, 2008. FG'08. 8th IEEE International Conference on, pages 1-6. IEEE.