Feature-preserving Direct Blue Noise Sampling for Surface Meshes
dc.contributor.author | Peyrot, Jean-Luc | en_US |
dc.contributor.author | Payan, Frédéric | en_US |
dc.contributor.author | Antonini, Marc | en_US |
dc.contributor.editor | M.- A. Otaduy and O. Sorkine | en_US |
dc.date.accessioned | 2014-01-26T14:58:12Z | |
dc.date.available | 2014-01-26T14:58:12Z | |
dc.date.issued | 2013 | en_US |
dc.description.abstract | We present a new direct Poisson disk sampling for surface meshes. Our objective is to sample triangular meshes, while satisfying good blue noise properties, but also preserving features. Our method combines a feature detection technique based on vertex curvature, and geodesic-based dart throwing. Our method is fast, automatic, and experimental results prove that our method is well-suited to CAD models, since it handles sharp features and high genus meshes, while having good blue noise properties. | en_US |
dc.description.seriesinformation | Eurographics 2013 - Short Papers | en_US |
dc.identifier.issn | 1017-4656 | en_US |
dc.identifier.uri | https://doi.org/10.2312/conf/EG2013/short/009-912 | en_US |
dc.publisher | The Eurographics Association | en_US |
dc.subject | I.3.3 [Computer Graphics] | en_US |
dc.subject | Picture/Image Generation | en_US |
dc.subject | Sampling | en_US |
dc.title | Feature-preserving Direct Blue Noise Sampling for Surface Meshes | en_US |
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