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» Satellite image reconstruction from an irregular sampling
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DCC
2010
IEEE
14 years 2 months ago
Block Compressed Sensing of Images Using Directional Transforms
Block-based random image sampling is coupled with a projectiondriven compressed-sensing recovery that encourages sparsity in the domain of directional transforms simultaneously wi...
Sungkwang Mun, James E. Fowler
MVA
2007
186views Computer Vision» more  MVA 2007»
13 years 9 months ago
A Novel Approach of 3D Face Reconstruction Using Ellipse Fitting
The problem of reconstructing the 3D face using one image captured from a viewpoint arises in many fields of science and engineering, this paper propose the novel approach for rec...
Charoenpong Theekapun, Hiroyuki Hase, Shogo Tokai
CVPR
2011
IEEE
13 years 3 months ago
Noise Resistant Graph Ranking for Improved Web Image Search
In this paper, we exploit a novel ranking mechanism that processes query samples with noisy labels, motivated by the practical application of web image search re-ranking where the...
Wei Liu, Yu-Gang Jiang, Jiebo Luo, Shih-Fu Chang
DCC
2007
IEEE
14 years 7 months ago
Spectral Predictors
Many scientific, imaging, and geospatial applications produce large high-precision scalar fields sampled on a regular grid. Lossless compression of such data is commonly done usin...
Lorenzo Ibarria, Peter Lindstrom, Jarek Rossignac
ICIP
2008
IEEE
14 years 9 months ago
Spatio-spectral reconstruction of the multispectral datacube using sparse recovery
Multispectral scene information is useful for radiometric graphics, material identification and imaging systems simulation. The multispectral scene can be described as a datacube,...
Manu Parmar, Steven Lansel, Brian A. Wandell