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» Minimal solutions for generic imaging models
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PAMI
2010
337views more  PAMI 2010»
13 years 6 months ago
Single-Image Super-Resolution Using Sparse Regression and Natural Image Prior
—This paper proposes a framework for single-image super-resolution. The underlying idea is to learn a map from input low-resolution images to target high-resolution images based ...
Kwang In Kim, Younghee Kwon
3DIM
2007
IEEE
13 years 11 months ago
Examplar-based Shape from Shading
Traditional Shape-from-Shading (SFS) techniques aim to solve an under-constrained problem: estimating depth map from one single image. The results are usually brittle from real im...
Xinyu Huang, Jizhou Gao, Liang Wang, Ruigang Yang
CVPR
2005
IEEE
14 years 9 months ago
Modelling Dynamic Scenes by Registering Multi-View Image Sequences
In this paper, we present a new variational method for multi-view stereovision and non-rigid three-dimensional motion estimation from multiple video sequences. Our method minimize...
Jean-Philippe Pons, Renaud Keriven, Olivier D. Fau...
ICIP
2005
IEEE
14 years 9 months ago
Improving frequency domain super-resolution via undersampling model
The super-resolution problem is considered using a meansquared error minimizing solution of a generalized undersampling model in this non-iterative frequency domain approach. Whil...
Ryan S. Prendergast, Truong Q. Nguyen
ICBA
2004
Springer
171views Biometrics» more  ICBA 2004»
14 years 1 months ago
Face Recognition with 3D Model-Based Synthesis
Abstract. Current appearance-based face recognition system encounters the difficulty to recognize faces with appearance variations, while only a small number of training images are...
Xiaoguang Lu, Rein-Lien Hsu, Anil K. Jain, Behrooz...