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Exploring Maximal Poisson-Disk Sampling for Enhanced Graphics Applications

Maximal Poisson-Disk Sampling is a statistical technique for generating point clouds that are both well-separated and densely packed. This method offers improved output properties compared to Delaunay Refinement and sphere packings, making it a hot topic in Computer Graphics, particularly for applications like texture synthesis and Voronoi meshes in fracture mechanics. This presentation discusses recent contributions, including Lipschitz conditions for varying radii and a new two-radii definition to enhance coverage and inhibition properties, ultimately improving the generation of "blue noise" and enabling more effective random refinements.

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Exploring Maximal Poisson-Disk Sampling for Enhanced Graphics Applications

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  1. FF Variable Radii Poisson-Disk Sampling Scott A. Mitchell, Alexander Rand, Mohamed S. Ebeida, Chandrajit Bajaj Session 4B, Thursday Aug 9, 11:30-11:50 • Maximal Poisson-Disk Sampling is a particular statistical process for generating separated-yet-dense point clouds • Similar-yet-different from Delaunay Refinement and sphere packingsbetter output properties for certain apps • Motivation • Hot topic in Computer Graphics • for texture synthesis • Voronoi meshes for fracture mechanics • Two Contributions • Lipschitz conditions for spatially varying radii • Necessary condition for certain Graphics algs to work • New two-radii definition decoupled coverage and inhibition radii • Better “blue noise” • More random refinements Classic MPS coverage Two-radii MPS x exclusion

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