Multi-class blue noise sampling

@article{Wei2010MulticlassBN,
  title={Multi-class blue noise sampling},
  author={Li-Yi Wei},
  journal={ACM Trans. Graph.},
  year={2010},
  volume={29},
  pages={79:1-79:8}
}
Sampling is a core process for a variety of graphics applications. Among existing sampling methods, blue noise sampling remains popular thanks to its spatial uniformity and absence of aliasing artifacts. However, research so far has been mainly focused on blue noise sampling with a single class of samples. This could be insufficient for common natural as well as man-made phenomena requiring multiple classes of samples, such as object placement, imaging sensors, and stippling patterns. We… CONTINUE READING
Highly Cited
This paper has 125 citations. REVIEW CITATIONS
59 Citations
13 References
Similar Papers

Citations

Publications citing this paper.
Showing 1-10 of 59 extracted citations

126 Citations

01020'11'13'15'17
Citations per Year
Semantic Scholar estimates that this publication has 126 citations based on the available data.

See our FAQ for additional information.

References

Publications referenced by this paper.
Showing 1-10 of 13 references

Similar Papers

Loading similar papers…