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» Multi-modal face image super-resolutions in tensor space
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ICCV
2005
IEEE
14 years 6 months ago
Multi-Modal Tensor Face for Simultaneous Super-Resolution and Recognition
Face images of non-frontal views under poor illumination with low resolution reduce dramatically face recognition accuracy. This is evident most compellingly by the very low recog...
Kui Jia, Shaogang Gong
CVPR
2005
IEEE
14 years 6 months ago
Hallucinating Faces: TensorPatch Super-Resolution and Coupled Residue Compensation
In this paper, we propose a new face hallucination framework based on image patches, which integrates two novel statistical super-resolution models. Considering that image patches...
Wei Liu, Dahua Lin, Xiaoou Tang
ICASSP
2007
IEEE
13 years 10 months ago
Breaking the Limitation of Manifold Analysis for Super-Resolution of Facial Images
A novel method for robust super-resolution offace images is proposed in this paper. Face super-resolution is a particular interest in video surveillance where face images have typ...
Sung Won Park, Marios Savvides
ICIAP
2009
ACM
13 years 11 months ago
Hallucinating Faces: Global Linear Modal Based Super-Resolution and Position Based Residue Compensation
A learning-based face hallucination method is proposed in this paper for the reconstruction of a high-resolution face image from a low-resolution observation based on a set of high...
Xiang Ma, Junping Zhang, Chun Qi
AVSS
2005
IEEE
13 years 10 months ago
Multi-modal face image super-resolutions in tensor space
Face images of non-frontal views under poor illumination with low resolution reduce dramatically face recognition accuracy. To overcome these problems, super-resolution techniques...
Kui Jia, Shaogang Gong