Pair Correlation Functions with Free-Form Boundaries for Distribution Inpainting and Decomposition

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Date
2020
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
Pair Correlation Functions (PCF) have been recently spreading as a reliable representation for distributions, enabling the efficient synthesis of point-sets, vector textures and object placement from examples. In this work we introduce a triangulationbased local filtering method to extend PCF-based analysis to exemplars with free-form boundaries. This makes PCF applicable to new problems such as the inpainting of missing parts in an input distribution, or the decomposition of complex, non-homogeneous distributions into a set of coherent classes, in which each category of points can be studied together with their intra and inter-class correlations.
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@inproceedings{
10.2312:egs.20201025
, booktitle = {
Eurographics 2020 - Short Papers
}, editor = {
Wilkie, Alexander and Banterle, Francesco
}, title = {{
Pair Correlation Functions with Free-Form Boundaries for Distribution Inpainting and Decomposition
}}, author = {
Nicolet, Baptiste
and
Ecormier-Nocca, Pierre
and
Memari, Pooran
and
Cani, Marie-Paule
}, year = {
2020
}, publisher = {
The Eurographics Association
}, ISSN = {
1017-4656
}, ISBN = {
978-3-03868-101-4
}, DOI = {
10.2312/egs.20201025
} }
Citation