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» A general framework for low level vision
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ECCV
2010
Springer
15 years 9 months 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
14 years 4 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
16 years 6 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
121
Voted
ICCV
2005
IEEE
15 years 10 months 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»
15 years 4 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