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.
Description
@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}
}