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A projection algorithm on measures sets | Nicolas Chauffert
; Philippe Ciuciu
; Jonas Kahn
; Pierre Weiss
; | Date: |
1 Sep 2015 | Abstract: | We 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 | Services: | Forum | Review | PDF | Favorites |
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