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Moving least squares

Moving least squares is a method of reconstructing continuous functions from a set of unorganized point samples via the calculation of a weighted… Expand
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Papers overview

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Highly Cited
2016
Highly Cited
2016
  • Xiaolin Li, S. Li
  • Comput. Math. Appl.
  • 2016
  • Corpus ID: 43792192
In this paper, the stability of the moving least squares (MLS) approximation and a stabilized MLS approximation is analyzed… Expand
Highly Cited
2015
Highly Cited
2015
  • D. Mirzaei
  • J. Comput. Appl. Math.
  • 2015
  • Corpus ID: 8093459
In this article the error estimation of the moving least squares approximation is provided for functions in fractional order… Expand
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Highly Cited
2014
Highly Cited
2014
This paper introduces a new color transfer method which is a process of transferring color of an image to match the color of… Expand
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2012
2012
Abstract In this paper, a new method for deriving the moving least-squares (MLS) approximation is presented first. Considering… Expand
Highly Cited
2006
Highly Cited
2006
We provide an image deformation method based on Moving Least Squares using various classes of linear functions including affine… Expand
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Highly Cited
2006
Highly Cited
2006
We provide an image deformation method based on Moving Least Squares using various classes of linear functions including affine… Expand
Highly Cited
2005
Highly Cited
2005
We introduce a robust moving least-squares technique for reconstructing a piecewise smooth surface from a potentially noisy point… Expand
Highly Cited
2005
Highly Cited
2005
We analyze a moving least squares algorithm for reconstructing a surface from point cloud data. Our algorithm defines an implicit… Expand
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Highly Cited
1998
Highly Cited
1998
  • D. Levin
  • Math. Comput.
  • 1998
  • Corpus ID: 7599559
A general method for near-best approximations to functionals on R d , using scattered-data information is discussed. The method… Expand
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Highly Cited
1981
Highly Cited
1981
An analysis of moving least squares (m.l.s.) methods for smoothing and interpolating scattered data is presented. In particular… Expand
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