Nicolet, BaptisteEcormier-Nocca, PierreMemari, PooranCani, Marie-PauleWilkie, Alexander and Banterle, Francesco2020-05-242020-05-242020978-3-03868-101-41017-4656https://doi.org/10.2312/egs.20201025https://diglib.eg.org:443/handle/10.2312/egs20201025Pair 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.Attribution 4.0 International LicenseI.3.5 [Computer Graphics]Computational Geometry and Object ModelingBoundary representations10.2312/egs.2020102589-92