A 2D model for face superresolution

Proceedings - International Conference on Pattern Recognition

Volumn , Issue , 2008, Pages

  Kumar, B G Vijay ^a   Aravind, R ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY MADRAS   (India)

Author keywords

[No Author keywords available]

Indexed keywords

2-D MODEL; FACE IMAGES; FACE REPRESENTATIONS; FACE SUPER-RESOLUTION; HIGH FREQUENCY COMPONENTS; HIGH QUALITY; HIGH RESOLUTION; HIGH RESOLUTION IMAGE; LOW RESOLUTION IMAGES; MAP ESTIMATOR; MATRIX; RIDGE REGRESSION; TWO-DIMENSIONAL PCA; TWO-STEP ALGORITHMS;

OPTICAL RESOLVING POWER; PATTERN RECOGNITION; REGRESSION ANALYSIS;

VECTORS;

EID: 77957961197     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

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2. S. Baker and T. Kanade. Limits on super-resolution and how to break them. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 24(9):1167-1183, Sep 2002.
3. C.Liu, H. Shum, and C. Zhang. A two-step approach to hallucinating faces: Global parametric model and local nonparametric model. In Proc. of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2001.
4. J.Yang, D.Zhang, A.F.Frangi, and J. yu Yang. Two-dimensional pca: A new approach to appearance-based face representation and recognition. IEEE Trans. on Pattern Analysis And Machine Intelligence, 26(1):131-137, January 2004.
5. H.. Kong, X.. Li, L.. Wang, E.. K.. Teoh, J.. Wang, and R.. Venkateswarlu. Generalized 2d principal component analysis. In Proc. of the IEEE Inter. Conf. on Neural Networks, August 2005.
6. Y. Li and X. Lin. An improved two-step approach to hallucinating faces. In Proc. of the IEEE Computer Society, Third International Conference on Image and Graphics, 2004.
7. 2 -pca - two-directional two-dimensional pca for efficient face representation and recognition. Letters, Neurocomputing, 69(1-3):224-231, December 2005.