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Applied Mathematics and Computation, 2018
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Qiao Wang +6 more
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Qiao Wang +6 more
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Color Transfer Using Probabilistic Moving Least Squares
2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014This paper introduces a new color transfer method which is a process of transferring color of an image to match the color of another image of the same scene. The color of a scene may vary from image to image because the photographs are taken at different times, with different cameras, and under different camera settings.
Youngbae Hwang +3 more
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Moving least-squares approximations for linearly-solvable MDP
2011 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL), 2011By introducing Linearly-solvable Markov Decision Process (LMDP), a general class of nonlinear stochastic optimal control problems can be reduced to solving linear problems. However, in practice, LMDP defined on continuous state space remain difficult due to high dimensionality of the state space.
Mingyuan Zhong 0002, Emanuel Todorov
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Calibrating an Automatic Zoom Camera With Moving Least Squares
IEEE Transactions on Automation Science and Engineering, 2009The application of zoom camera lenses in machine vision has gained a lot of attention lately. The main difficulty in their employment lies in the accurate estimation of their intrinsic parameters. In this paper, we propose novel approaches to determine these parameters by estimating continuous models of their variations as the focus and the zoom change.
Michel Sarkis +2 more
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Superresolution and noise filtering using moving least squares
IEEE Transactions on Image Processing, 2006An irregularly spaced sampling raster formed from a sequence of low-resolution frames is the input to an image sequence superresolution algorithm whose output is the set of image intensity values at the desired high-resolution image grid. The method of moving least squares (MLS) in polynomial space has proved to be useful in filtering the noise and ...
Nirmal K. Bose, Nilesh A. Ahuja
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Approximating surfaces by moving total least squares method
Applied Mathematics and Computation, 1998We suggest a method for generating a surface approximating the given data $(x_i,y_i,z_i)inR^3$, $i=1,ldots,m$,assuming that the errors can occur both in the independent variables $x$ and $y$, as well as in the dependent variable $z$. Our approach is based on the moving total least squares method,where the local approximants (local planes) are ...
Scitovski, Rudolf +2 more
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Error estimates for the interpolating moving least-squares method
Applied Mathematics and Computation, 2014zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jufeng Wang +3 more
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A generalized moving least square reproducing kernel method
Journal of Computational and Applied Mathematics, 2013zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Rezvan Salehi, Mehdi Dehghan 0002
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Moving Weighted Least-Squares Methods
1979Moving weighted least squares are defined and analyzed with a view to clarifying their algebraic structure and imposing sufficient conditions to guarantee interpolating and smoothness properties of the resulting surface.
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Robust moving least-squares fitting with sharp features
ACM Transactions on Graphics, 2005Daniel Cohen-Or +2 more
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