Direct Blue Noise resampling of meshes of arbitrary topology

Abstract : We propose in this paper a novel sampling method and an improvement of a spectral analysis tool that both handle complex shapes and sharp features. Starting from an arbitrary triangular mesh, our algorithm generates a new sampling pattern that exhibits blue noise properties. The fidelity to the original surface being essential, our algorithm preserves sharp features. Our sampling is based on a discrete dart throwing applied directly on the surface to get good blue noise sampling patterns. It is also driven by a feature detection tool - to avoid geometric aliasing. Experimental results prove that our sampling scheme is faster than techniques based on brute-force dart throwing, and produces sampling patterns with blue noise properties even for complex surfaces of arbitrary topology. In parallel, we also propose an improvement of a tool initially developed for the spectral analysis of non-uniform sampling patterns, that may generate biased results with complex shapes. The proposed improvement overcomes this problem.
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Article dans une revue
Visual Computer, Springer Verlag, 2015, 31 (10), pp.1365-1381. <10.1007/s00371-014-1019-1>


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Soumis le : mardi 22 septembre 2015 - 17:24:35
Dernière modification le : samedi 26 septembre 2015 - 01:05:09
Document(s) archivé(s) le : mardi 29 décembre 2015 - 09:22:35

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Jean-Luc Peyrot, Frédéric Payan, Marc Antonini. Direct Blue Noise resampling of meshes of arbitrary topology. Visual Computer, Springer Verlag, 2015, 31 (10), pp.1365-1381. <10.1007/s00371-014-1019-1>. <hal-01058835>

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