6343 search results - page 2 / 1269 » Robust consensus computation |
ICCV
2009
IEEE
14 years 7 months ago
2009
IEEE
Finding the largest consensus set is one of the key ideas used by the original RANSAC for removing outliers in robust-estimation. However, because of its random and non-determinis...
ECCV
2004
Springer
15 years 3 months ago
2004
Springer
Computer vision tasks often require the robust fit of a model to some data. In a robust fit, two major steps should be taken: i) robustly estimate the parameters of a model, and ii...
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IPSN
2005
Springer
15 years 3 months ago
2005
Springer
— We consider a network of distributed sensors, where each sensor takes a linear measurement of some unknown parameters, corrupted by independent Gaussian noises. We propose a si...
ICCV
2011
IEEE
13 years 10 months ago
2011
IEEE
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...
ICCV
2005
IEEE
15 years 3 months ago
2005
IEEE
We propose an algorithm to perform causal inference of the state of a dynamical model when the measurements are corrupted by outliers. While the optimal (maximumlikelihood) soluti...