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» Image Based Regression Using Boosting Method
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203
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CVPR
2005
IEEE
16 years 9 months ago
Feature Uncertainty Arising from Covariant Image Noise
Uncertainty estimates related to the position of image features are seeing increasing use in several computer vision problems. Many of these have been recast from standard least s...
R. Matt Steele, Christopher O. Jaynes
ICPR
2004
IEEE
16 years 8 months ago
Robust Feature Matching Across Widely Separated Color Images
We present a novel method for feature matching across widely separated color images. The proposed approach is robust and can support various correspondence based algorithms e.g. t...
Alexander Kaplan, Ehud Rivlin, Ilan Shimshoni

Publication
455views
16 years 4 months ago
General road detection from a single image
Given a single image of an arbitrary road, that may not be well-paved, or have clearly delineated edges, or some a priori known color or texture distribution, is it possible for a ...
Hui Kong, Jean-Yves Audibert, and Jean Ponce
ICASSP
2011
IEEE
14 years 11 months ago
Denoising of image patches via sparse representations with learned statistical dependencies
We address the problem of denoising for image patches. The approach taken is based on Bayesian modeling of sparse representations, which takes into account dependencies between th...
Tomer Faktor, Yonina C. Eldar, Michael Elad
240
Voted
ICCV
2003
IEEE
16 years 9 months ago
Appearance Sampling for Obtaining A Set of Basis Images for Variable Illumination
Previous studies have demonstrated that the appearance of an object under varying illumination conditions can be represented by a low-dimensional linear subspace. A set of basis i...
Imari Sato, Takahiro Okabe, Yoichi Sato, Katsushi ...