Robust super-resolution of face images by iterative compensating neighborhood relationships

2007 Biometrics Symposium, BSYM

Volumn , Issue , 2007, Pages

  Sung, Won Park ^a   Savvides, Marios ^a  

^a CARNEGIE MELLON UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BIOMETRICS; IMAGE ENHANCEMENT; OPTICAL RESOLVING POWER;

EMBEDDINGS; FACE IMAGES; FACE SUPER-RESOLUTION; FACIAL IMAGING; HIGH RESOLUTIONS; HIGH-RESOLUTION IMAGING; LOCAL GEOMETRY; LOCALLY LINEAR EMBEDDING; LOW-RESOLUTION; MANIFOLD LEARNING; MULTIPLE RESOLUTIONS; NOVEL METHODS; STATE OF THE ARTS; SUPER RESOLUTIONS;

LAWS AND LEGISLATION;

EID: 50249178708     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BCC.2007.4430531     Document Type: Conference Paper

References (13)

1. S. Baker and T. Kanade, "Hallucinating faces," in International Conference on Automatic Face and Gesture Recognition, March 2000, pp. 83-88.
2. S. Baker and T. Kanade, "Limits on super-resolution and how to break them," IEEE Transaction on Pattern Analysis and Machine Intelligence, vol. 24, no. 9, pp. 1167-1183, September 2002.
3. C. Liu, H. Shum, and C. Zhang, "A two-step approach to hallucinating faces: Global parametric model and local nonparametric model," in IEEE Computer Society Conference on Computer Vision and Pattern Recognition, January 2001, vol. 1, pp. 192-198.
4. X. Wang and X. Tang, "Hallucinating face by eigen-transformation, " IEEE Transaction on Systems, Man, and Cybernetics, Part-C, Special issue on Biometrics Systems, vol. 35, pp. 425-434, August 2005.
5. S. Roweis and L. K. Saul, "Nonlinear dimensionality reduction by locally linear embedding," Science, vol. 290, no. 12, pp. 2323-2326, December 2000.
6. J. B. Tenenbaum, V. Silva, and J.C. Langford, "A global geometric framework for nonlinear dimensionality reduction," Science, vol. 290, no. 12, pp. 2319-2323, December 2003.
7. M. Belkin and P. Niyogi, "Laplacian eigenmaps and spectral techniques for embedding and clustering," in Advances in Neural Information Precessing Systems 14, 2002, pp. 585-591.
8. X. He and O. Niyogi, "Locality preserving projections," in Advances in Neural Information Processing Systems 16, 2003.
9. Sung Won Park and Marios Savvides, "Breaking the limitation of manifold analysis for super-resolution of facial images," in IEEE International Conference on Acoustics, Speech and Signal Processing, 2007, vol. 1, pp. 573-576.
10. Sung Won Park and Marios Savvides, "Locality preserving projections as a new manifold analysis approach for robust face super-resolution," in SPIE Defense and Security Symposium on Biometric Identification Technologies, 2007.
11. D.Y. Yeung H. Chang and Y.Xiong, "Super-resolution through neighbor embedding," in IEEE Conference on Computer Vision and Pattern Recognition, 2004, vol. 1, pp.275-282.
12. http://www.nist.gov/humanid/colorferet.
13. http://www.cs.toronto.edu/roweis/lle/code.html.