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… (More)
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Topic mentions per year

Topic mentions per year

1996-2018
010203019962018

Papers overview

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2017
2017
The paper shows that the SPH boundary handling of Akinci et al. [AIA∗12] suffers from perceivable issues in planar regions due to… (More)
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2014
2014
This paper introduces a new color transfer method which is a process of transferring color of an image to match the color of… (More)
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Highly Cited
2010
Highly Cited
2010
An analysis of moving least squares (m.l.s.) methods for smoothing and interpolating scattered data is presented. In particular… (More)
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2010
2010
We propose a new family of barycentric coordinates that have closed-forms for arbitrary 2D polygons. These coordinates are easy… (More)
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2009
2009
It is a common procedure for scattered data approximation to use local polynomial fitting in the least-squares sense. An… (More)
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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… (More)
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Highly Cited
2006
Highly Cited
2006
An irregularly spaced sampling raster formed from a sequence of low-resolution frames is the input to an image sequence… (More)
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Highly Cited
2005
Highly Cited
2005
1. Briefly summarize the paper’s contributions. Does it address a new problem? Does it present a new approach? Does it show new… (More)
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2003
2003
We describe a new method for surface reconstruction based on unorganized point clouds without normals. We also present a new… (More)
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Highly Cited
1998
Highly Cited
1998
A general method for near-best approximations to functionals on Rd, using scattered-data information is discussed. The method is… (More)
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