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

Baptiste Nicolet, Pierre Ecormier-Nocca, Pooran Memari, Marie-Paule Cani
2020 Annual Conference of the European Association for Computer Graphics  
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,
more » ... neous distributions into a set of coherent classes, in which each category of points can be studied together with their intra and inter-class correlations.
doi:10.2312/egs.20201025 dblp:conf/eurographics/NicoletEMC20 fatcat:hghj3hmherfjhdulmjpsa47kxu