Random sample consensus

Known as: Ransac 
Random sample consensus (RANSAC) is an iterative method to estimate parameters of a mathematical model from a set of observed data that contains… (More)
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Topic mentions per year

1981-2017
010020019812017

Papers overview

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Review
2013
Review
2013
A computational problem that arises frequently in computer vision is that of estimating the parameters of a model from data that… (More)
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2011
2011
In order to improve real-time and robustness of the lane detection and get more ideal lane, in the image preprocessing, the… (More)
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2009
2009
We address the problem of parameter estimation in presence of both uncertainty and outlier noise. This is a common occurrence in… (More)
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2009
2009
In this work, we present a technique for robust estimation, which by explicitly incorporating the inherent uncertainty of the… (More)
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Highly Cited
2008
Highly Cited
2008
The Random Sample Consensus (RANSAC) algorithm is a popular tool for robust estimation problems in computer vision, primarily due… (More)
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Highly Cited
2005
Highly Cited
2005
A new robust matching method is proposed. The progressive sample consensus (PROSAC) algorithm exploits the linear ordering… (More)
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2005
2005
The problem of model parameters estimation from data with a presence of outlier measurements often arises in computer vision and… (More)
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Highly Cited
2003
Highly Cited
2003
In this letter, we propose a new algorithm for automated registration of satellite images. Here, registration means finding the… (More)
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Highly Cited
2000
Highly Cited
2000
A new paradigm, Random Sample Consensus (RANSAC), for fitting a model to experimental data is introduced. RANSAC is capable of… (More)
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Highly Cited
1981
Highly Cited
1981
A new paradigm, Random Sample Consensus (RANSAC), for fitting a model to experimental data is introduced. RANSAC is capable of… (More)
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