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» A general framework for low level vision
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ECCV
2010
Springer
14 years 1 days ago
Geometric Image Parsing in Man-Made Environments
Abstract. We present a new parsing framework for the line-based geometric analysis of a single image coming from a man-made environment. This parsing framework models the scene as ...
ICCV
2011
IEEE
12 years 6 months ago
RECON: Scale-Adaptive Robust Estimation via Residual Consensus
In this paper, we present a novel, threshold-free robust estimation framework capable of efficiently fitting models to contaminated data. While RANSAC and its many variants have...
Rahul Raguram, Jan-Michael Frahm
CVPR
1997
IEEE
14 years 8 months ago
Images as embedding maps and minimal surfaces: movies, color, and volumetric medical images
A general geometrical framework for image processing is presented. We consider intensity images as surfaces in the (x I) space. The image is thereby a two dimensional surface in t...
Ron Kimmel, Ravi Malladi, Nir A. Sochen
ICCV
2005
IEEE
14 years 9 days ago
Patch Based Blind Image Super Resolution
In this paper, a novel method for learning based image super resolution (SR) is presented. The basic idea is to bridge the gap between a set of low resolution (LR) images and the ...
Qiang Wang, Xiaoou Tang, Harry Shum
PAMI
2008
121views more  PAMI 2008»
13 years 6 months ago
Theoretical Foundations of Spatially-Variant Mathematical Morphology Part II: Gray-Level Images
In this paper, we develop a spatially-variant (SV) mathematical morphology theory for gray-level signals and images in the euclidean space. The proposed theory preserves the geomet...
Nidhal Bouaynaya, Dan Schonfeld