Line fitting

Known as: Fitting a line, Line of best fit, Straight line fitting 
Line fitting is the process of constructing a straight line that has the best fit to a series of data points. Several methods exist, considering, e.g… (More)
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Topic mentions per year

Topic mentions per year

1976-2017
0102019762017

Papers overview

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2012
2012
We propose a robust fitting framework, called Adaptive Kernel-Scale Weighted Hypotheses (AKSWH), to segment multiple-structure… (More)
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2011
2011
We prove that when a line is approximated using digital line, the error in the slope of the digital line has a definite upper… (More)
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Highly Cited
2011
Highly Cited
2011
Geometric model fitting is a typical chicken-&-egg problem: data points should be clustered based on geometric proximity to… (More)
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Highly Cited
2005
Highly Cited
2005
A feature detection system has been developed for real-time identification of lines, circles and people legs from laser range… (More)
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Highly Cited
2003
Highly Cited
2003
This paper presents an algorithm to find the line-based map that best fits sets of two-dimensional range scan data that are… (More)
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2003
2003
The authors propose a robust clustering method based on the Least Median of Squares principle. This is a general-purpose method… (More)
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1999
1999
Fitting the \best" straight line to a scatter plot of data D f(x1; y1) : : :(xn; yn)g in which both variables xi; yi are subject… (More)
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1998
1998
In this paper, three line fitting methods using k-means algorithm are proposed. The result of the early work by Phillips and… (More)
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1993
1993
A b d ract A new raster-to-vector conversion method is proposed for capturing high-qualiiy vectors from line drawing images in… (More)
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1987
1987
Straight line fitting to sets of edge pixels is a commonly used technique in computer vision . This note suggests that if the… (More)
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