Landmark-based fisher vector representation for video-based face verification

Proceedings - International Conference on Image Processing, ICIP

Volumn 2015-December, Issue , 2015, Pages 2705-2709

  Chen, Jun Cheng ^a   Patel, Vishalm ^a   Chellappa, Rama ^a  

^a UNIVERSITY OF MARYLAND   (United States)

Author keywords

face verification; facial landmarks; Fisher vector

Indexed keywords

EID: 84956614009     PISSN: 15224880     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIP.2015.7351294     Document Type: Conference Paper

References (28)

1. W. Y. Zhao, R. Chellappa, P. J. Phillips, and A. Rosenfeld, "Face recognition: A literature survey, " ACM Computing Surveys, vol. 35, no. 4, pp. 399-458, 2003.
2. D. Chen, X. D. Cao, F. Wen, and J. Sun, "Blessing of dimensionality: High-dimensional feature and its efficient compression for face verification, " in IEEE Conference on Computer Vision and Pattern Recognition, 2013.
3. K. Simonyan, O. M. Parkhi, A. Vedaldi, and A. Zisserman, "Fisher vector faces in the wild, " in British Machine Vision Conference, 2013, vol. 1, p. 7.
4. O. M. Parkhi, K. Simonyan, A. Vedaldi, and A. Zisserman, "A compact and discriminative face track descriptor, " in IEEE Conference on Computer Vision and Pattern Recognition, 2014.
5. Y. Taigman, M. Yang, M. A. Ranzato, and L. Wolf, "Deepface: Closing the gap to human-level performance in face verification, " in IEEE Conference on Computer Vision and Pattern Recognition, 2014, pp. 1701-1708.
6. F. Schroff, D. Kalenichenko, and J. Philbin, "Facenet: A unified embedding for face recognition and clustering, " arXiv preprint arXiv:1503. 03832, 2015.
7. T. Ahonen, A. Hadid, and M. Pietikainen, "Face description with local binary patterns: Application to face recognition, " IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 28, no. 12, pp. 2037-2041, 2006.
8. B. C. Zhang, S. G. Shan, X. L. Chen, and W. Gao, "Histogram of gabor phase patterns (hgpp): A novel object representation approach for face recognition, " IEEE Transactions on Image Processing, vol. 16, no. 1, pp. 57-68, 2007.
9. A. Coates, A. Y. Ng, and H. L. Lee, "An analysis of singlelayer networks in unsupervised feature learning, " in International Conference on Artificial Intelligence and Statistics, 2011, pp. 215-223.
10. H. X. Li, G. Hua, Z. Lin, J. Brandt, and J. C. Yang, "Probabilistic elastic matching for pose variant face verification, " in IEEE Conference on Computer Vision and Pattern Recognition, 2013, pp. 3499-3506.
11. C. Ding, J. Choi, D. Tao, and L. S. Davis, "Multi-directional multi-level dual-cross patterns for robust face recognition, " arXiv preprint arXiv:1401. 5311, 2014.
12. M. Guillaumin, J. Verbeek, and C. Schmid, "Is that you metric learning approaches for face identification, " in IEEE International Conference on Computer Vision, 2009, pp. 498-505.
13. Y. Taigman, L. Wolf, and T. Hassner, "Multiple one-shots for utilizing class label information., " in British Machine Vision Conference, 2009, pp. 1-12.
14. J. V. Davis, B. Kulis, P. Jain, S. Sra, and I. S. Dhillon, "Information-theoretic metric learning, " in International Conference on Machine learning, 2007, pp. 209-216.
15. D. Chen, X. D. Cao, L. W. Wang, F. Wen, and J. Sun, "Bayesian face revisited: A joint formulation, " in European Conference on Computer Vision, pp. 566-579. Springer, 2012.
16. J. Hu, J. Lu, and Y.-P. Tan, "Discriminative deep metric learning for face verification in the wild, " in IEEE Conference on Computer Vision and Pattern Recognition, 2014, pp. 1875-1882.
17. Z. Huang, R. Wang, S. Shan, and X. Chen, "Projection metric learning on Grassmann manifold with application to video based face recognition, " in IEEE Conference on Computer Vision and Pattern Recognition, 2015, pp. 140-149.
18. G. B. Huang, M. Mattar, T. Berg, and E. Learned-Miller, "Labeled faces in the wild: A database forstudying face recognition in unconstrained environments, " in Workshop on Faces in Real-Life Images: Detection, Alignment, and Recognition, 2008.
19. A. Asthana, S. Zafeiriou, S. Y. Cheng, and M. Pantic, "Robust discriminative response map fitting with constrained local models, " in IEEE Conference on Computer Vision and Pattern Recognition, 2013, pp. 3444-3451.
20. A. Asthana, S. Zafeiriou, S. Y. Cheng, and M. Pantic, "Incremental face alignment in the wild, " in IEEE Conference on Computer Vision and Pattern Recognition, 2014, pp. 1859-1866.
21. H. T. Wang, S. Z. Li, and Y. S. Wang, "Face recognition under varying lighting conditions using self quotient image, " in IEEE International Conference on Automatic Face and Gesture Recognition. IEEE, 2004, pp. 819-824.
22. X. Y. Tan and B. Triggs, "Enhanced local texture feature sets for face recognition under difficult lighting conditions, " IEEE Transactions on Image Processing, vol. 19, no. 6, pp. 1635-1650, 2010.
23. F. Perronnin, J. Sánchez, and T. Mensink, "Improving the fisher kernel for large-scale image classification, " in Computer Vision-ECCV 2010, pp. 143-156. 2010.
24. X. D. Cao, D. Wipf, F. Wen, G. Q. Duan, and J. Sun, "A practical transfer learning algorithm for face verification, " in IEEE International Conference on Computer Vision. IEEE, 2013, pp. 3208-3215.
25. "National institute of standards and technology: Multiple biometric grand challenge, http://www. nist. gov/itl/iad/ig/mbgc. cfm, ".
26. "National institute of standards and technology: Face and ocular challenge series, http://www. nist. gov/itl/iad/ig/focs. cfm, ".
27. Y.-C. Chen, V. M. Patel, P. J. Phillips, and R. Chellappa, "Dictionary-based face recognition from video, " in European Conference on Computer Vision, pp. 766-779. 2012.
28. P. Turaga, A. Veeraraghavan, A. Srivastava, and R. Chellappa, "Statistical computations on Grassmann and Stiefel manifolds for image and video-based recognition, " IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 33, no. 11, pp. 2273-2286, 2011.