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27 April 2024
 
  » arxiv » 1509.0229

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A projection algorithm on measures sets
Nicolas Chauffert ; Philippe Ciuciu ; Jonas Kahn ; Pierre Weiss ;
Date 1 Sep 2015
AbstractWe consider the problem of projecting a probability measure $pi$ on a set $mathcal{M}\_N$ of Radon measures. The projection is defined as a solution of the following variational problem:egin{equation*}inf\_{muin mathcal{M}\_N} |hstar (mu - pi)|\_2^2,end{equation*}where $hin L^2(Omega)$ is a kernel, $Omegasubset R^d$ and $star$ denotes the convolution operator.To motivate and illustrate our study, we show that this problem arises naturally in various practical image rendering problems such as stippling (representing an image with $N$ dots) or continuous line drawing (representing an image with a continuous line).We provide a necessary and sufficient condition on the sequence $(mathcal{M}\_N)\_{Nin N}$ that ensures weak convergence of the projections $(mu^*\_N)\_{Nin N}$ to $pi$.We then provide a numerical algorithm to solve a discretized version of the problem and show several illustrations related to computer-assisted synthesis of artistic paintings/drawings.
Source arXiv, 1509.0229
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