Face hallucination: How much it can improve face recognition

2013 3rd Australian Control Conference, AUCC 2013

Volumn , Issue , 2013, Pages 93-98

  Xu, Xiang ^a   Liu, Wanquan ^a   Li, Ling ^a  

^a CURTIN UNIVERSITY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

BETTER PERFORMANCE; DESIGNED EXPERIMENTS; EVALUATION METHODS; FACE RECOGNITION PERFORMANCE; HALLUCINATED IMAGES; PEAK SIGNAL NOISE RATIO; PERFORMANCE CRITERION; ROOT MEAN SQUARE ERRORS;

MEAN SQUARE ERROR;

FACE RECOGNITION;

EID: 84893233036     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/AUCC.2013.6697254     Document Type: Conference Paper

References (20)

1. W. Zhao, R. Chellappa, P. Phillips, and A. Rosenfeld, "Face recognition: A literature survey", ACM Computing Surveys, vol. 35, no. 4, pp. 399-458, 2003.
2. M. Turk and A. Pentland, "Face recognition using eigenfaces", in IEEE Computer Society Conference on Computer Vision and Pattern Recognition. IEEE, 1991, pp. 586-591.
3. P. Belhumeur, J. Hespanha, and D. Kriegman, "Eigenfaces vs. fisherfaces: Recognition using class specific linear projection", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 19, no. 7, pp. 711-720, 1997.
4. X. He and P. Niyogi, "Locality preserving projections", Advances in Neural Information Processing Systems, vol. 16, pp. 153-160, 2004.
5. J. Wright, A. Yang, A. Ganesh, S. Sastry, and Y. Ma, "Robust face recognition via sparse representation", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 31, no. 2, pp. 210-227, 2009.
6. S. Baker and T. Kanade, "Hallucinating faces", in Fourth IEEE International Conference on Automatic Face and Gesture Recognition. IEEE, 2000, pp. 83-88.
7. -, "Limits on super-resolution and how to break them", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 24, no. 9, pp. 1167-1183, 2002.
8. X. Wang and X. Tang, "Hallucinating face by eigentransformation", IEEE Transactions on Systems, Man, and Cybernetics, vol. 35, no. 3, pp. 425-434, 2005.
9. C. Liu, H. Shum, and W. Freeman, "Face hallucination: Theory and practice", International Journal of Computer Vision, vol. 75, no. 1, pp. 115-134, 2007.
10. Y. Zhuang, J. Zhang, and F. Wu, "Hallucinating faces: LPH superresolution and neighbor reconstruction for residue compensation", Pattern Recognition, vol. 40, no. 11, pp. 3178-3194, 2007.
11. J. Yang, H. Tang, Y. Ma, and T. Huang, "Face hallucination via sparse coding", in 15th IEEE International Conference on Image Processing. IEEE, 2008, pp. 1264-1267.
12. W. Zhang and W. Cham, "Hallucinating face in the dct domain", IEEE Transactions on Image Processing, vol. 20, no. 10, pp. 2769-2779, 2011.
13. H. Chang, D. Yeung, and Y. Xiong, "Super-resolution through neighbor embedding", in IEEE Computer Society Conference on Computer Vision and Pattern Recognition, vol. 1. IEEE, 2004, pp. I-275.
14. J. Yang, J. Wright, T. Huang, and Y. Ma, "Image super-resolution via sparse representation", IEEE Transactions on Image Processing, vol. 19, no. 11, pp. 2861-2873, 2010.
15. X. Ma, J. Zhang, and C. Qi, "Hallucinating face by position-patch", Pattern Recognition, vol. 43, no. 6, pp. 2224-2236, 2010.
16. A. Chakrabarti, A. Rajagopalan, and R. Chellappa, "Super-resolution of face images using kernel pca-based prior", IEEE Transactions on Multimedia, vol. 9, no. 4, pp. 888-892, 2007.
17. A. Georghiades, P. Belhumeur, and D. Kriegman, "From few to many: Illumination cone models for face recognition under variable lighting and pose", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 23, no. 6, pp. 643-660, 2001.
18. A. Martinez and R. Benavente, "The AR face database", CVC Technical Report, vol. 24, 1998.
19. H. Hou and H. Andrews, "Cubic splines for image interpolation and digital filtering", IEEE Transactions on Acoustics, Speech and Signal Processing, vol. 26, no. 6, pp. 508-517, 1978.
20. P. Phillips, P. Flynn, T. Scruggs, K. Bowyer, and W. Worek, "Preliminary face recognition grand challenge results", in 7th International Conference on Automatic Face and Gesture Recognition. IEEE, 2006, pp. 15-24.