Effective 3D based frontalization for unconstrained face recognition

Proceedings - International Conference on Pattern Recognition

Volumn 0, Issue , 2016, Pages 1047-1052

  Ferrari, Claudio ^a   Lisanti, Giuseppe ^a   Berretti, Stefano ^a   Del Bimbo, Alberto ^a  

^a UNIVERSITY OF FLORENCE   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

IMAGE ENHANCEMENT; PIXELS; RENDERING (COMPUTER GRAPHICS);

3D COORDINATES; BENCHMARK DATASETS; FACE REGIONS; FACE VERIFICATION; FEATURE DESCRIPTORS; IMAGE PATCHES; INTERPOLATING FUNCTIONS; STATE OF THE ART;

FACE RECOGNITION;

EID: 85019101300     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPR.2016.7899774     Document Type: Conference Paper

References (25)

1. Y. Taigman, M. Yang, M. Ranzato, and L. Wolf, "Deepface: Closing the gap to human-level performance in face verification, " in IEEE Conf. on Computer Vision and Pattern Recognition, 2013, pp. 1701-1708.
2. F. De la Torre, W.-S. Chu, X. Xiong, F. Vicente, X. Ding, and J. F. Cohn, "Intraface, " in IEEE Int. Conf. on Automatic Face and Gesture Recognition, 2015, pp. 1-8.
3. X. Zhao, W. Zhang, G. Evangelopoulos, D. Huang, S. K. Shah, Y. Wang, I. A. Kakadiaris, and L. Chen, "Benchmarking asymmetric 3d-2d face recognition systems, " in IEEE Int. Conf. And Work. on Automatic Face and Gesture Recognition, 2013, pp. 1-8.
4. T. Berg and P. N. Belhumeur, "Tom-vs-Pete classifiers and identitypreserving alignment for face verification, " in British Machine Vision Conference, 2012, pp. 1-11.
5. H. T. Ho and R. Chellappa, "Pose-invariant face recognition using Markov Random Fields, " IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 22, no. 4, pp. 1573-1584, Apr. 2013.
6. C. Sagonas, Y. Panagakis, S. Zafeiriou, and M. Pantic, "Robust statistical face frontalization, " in IEEE Int. Conf. on Computer Vision, 2015.
7. X. Zhu, Z. Lei, J. Yan, D. Yi, and S. Z. Li, "High-fidelity pose and expression normalization for face recognition in the wild, " in IEEE Conf. on Computer Vision and Pattern Recognition, 2015, pp. 787-796.
8. V. Blanz and T. Vetter, "A morphable model for the synthesis of 3D faces, " in ACM Conf. on Computer Graphics and Interactive Techniques, 1999.
9. X. Xiong and F. De la Torre, "Supervised descent method and its applications to face alignment, " in IEEE Conf. on Computer Vision and Pattern Recognition, 2013.
10. D. Yi, Z. Lei, and S. Z. Li, "Towards pose robust face recognition, " in IEEE Conf. on Computer Vision and Pattern Recognition, 2013.
11. F. Juefei-Xu, K. Luu, and M. Savvides, "Spartans: Single-sample periocular-based alignment-robust recognition technique applied to nonfrontal scenarios, " IEEE Trans. on Image Processing, vol. 24, no. 12, pp. 4780-4795, Dec. 2015.
12. I. Masi, G. Lisanti, A. D. Bagdanov, P. Pala, and A. D. Bimbo, "Using 3d models to recognize 2d faces in the wild, " in 2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2013.
13. T. Hassner, "Viewing real-world faces in 3D, " in Int. Conf. on Computer Vision, 2013.
14. T. Hassner, S. Harel, E. Paz, and R. Enbar, "Effective face frontalization in unconstrained images, " in IEEE Conf. on Computer Vision and Pattern Recognition, 2015.
15. I. Masi, C. Ferrari, A. Del Bimbo, and G. Medioni, "Pose independent face recognition by localizing local binary patterns via deformation components, " in Int. Conf. on Pattern Recognition, 2014.
16. C. Ferrari, G. Lisanti, S. Berretti, and A. Del Bimbo, "Dictionary learning based 3D morphable model construction for face recognition with varying expression and pose, " in Int. Conf. on 3D Vision, 2015.
17. G. B. Huang, M. Ramesh, T. Berg, and E. Learned-Miller, "Labeled faces in the wild: A database for studying face recognition in unconstrained environments, " University of Massachusetts, Amherst, Tech. Rep. 07-49, Oct. 2007.
18. B. F. Klare, B. Klein, E. Taborsky, A. Blanton, J. Cheney, K. Allen, P. Grother, A. Mah, and A. K. Jain, "Pushing the frontiers of unconstrained face detection and recognition: Iarpa janus benchmark a, " in IEEE Conf. on Computer Vision and Pattern Recognition, 2015.
19. D. Chen, X. Cao, F. Wen, and J. Sun, "Blessing of dimensionality: Highdimensional feature and its efficient compression for face verification, " in IEEE Conf. on Computer Vision and Pattern Recognition, 2013, pp. 3025-3032.
20. G. B. Huang and E. Learned-Miller, "Labeled faces in the wild: Updates and new reporting procedures, " University of Massachusetts, Amherst, Tech. Rep. UM-CS-2014-003, May 2014.
21. G. B. Huang, V. Jain, and E. Learned-Miller, "Unsupervised joint alignment of complex images, " in IEEE Int. Conf. on Computer Vision, 2007.
22. G. B. Huang, M. Mattar, H. Lee, and E. Learned-Miller, "Learning to align from scratch, " in Advances in Neural Information Processing Systems, 2012.
23. S. R. Arashloo and J. Kittler, "Efficient processing of MRFs for unconstrained-pose face recognition, " in IEEE Int. Conf. on Biometrics: Theory, Applications and Systems, 2013.
24. R. Arashloo, Shervin and J. Kittler, "Class-specific kernel fusion of multiple descriptors for face verification using multiscale binarised statistical image features, " IEEE Trans. on Information Forensics and Security, vol. 9, no. 12, pp. 2100-2109, Dec. 2014.
25. J. Klontz, B. Klare, S. Klum, A. Jain, and M. Burge, "Open source biometric recognition, " in IEEE Int. Conf. on Biometrics: Theory, Applications and Systems, 2013.