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Communication Dans Un Congrès Année : 2020

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

Résumé

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 triangulation-based 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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Dates et versions

hal-02500803 , version 1 (06-03-2020)

Identifiants

  • HAL Id : hal-02500803 , version 1

Citer

Baptiste Nicolet, Pierre Ecormier-Nocca, Pooran Memari, Marie-Paule Cani. Pair Correlation Functions with Free-Form Boundaries for Distribution Inpainting and Decomposition. Eurographics 2020 short paper proceedings, May 2020, Norrköping, Sweden. ⟨hal-02500803⟩
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