@inproceedings{Peyrot_Payan_EG_2013,
crossref = {short-proc},
author = {Jean-Luc Peyrot and Frédéric Payan and Marc Antonini},
title = {{Feature-preserving Direct Blue Noise Sampling for Surface Meshes}},
booktitle = {Eurographics (Short Papers)},
pages = {9-12},
URL = {http://diglib.eg.org/EG/DL/conf/EG2013/short/009-912.pdf},
DOI = {10.2312/conf/EG2013/short/009-912},
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.}
}