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The Visual Computer

, Volume 32, Issue 6–8, pp 1035–1044 | Cite as

Multi-class anisotropic blue noise sampling for discrete element pattern generation

  • Naoki Kita
  • Kazunori Miyata
Original Article
  • 277 Downloads

Abstract

We present an element placement method for generating patterns containing “discrete elements”. By extending various blue noise sampling methods, we propose a visually uniform distribution of multi-class elements. Our method also supports tileable aperiodic distribution. Instead of actual elements, for fast calculation, we use a circular or elliptic disk as a proxy of an element when checking conflicts with nearby elements during the distribution process. The nature of our results is comparable to swatches in books, which shows that our method is capable of generating visually appealing swatches for a set of elements. The user study showed that our method outperformed state-of-the-art discrete element texture synthesis approaches in terms of pattern visual quality.

Keywords

Blue noise sampling Discrete element texture Element distribution Pattern generation 

Supplementary material

371_2016_1248_MOESM1_ESM.pdf (15.3 mb)
Supplementary material 1 (pdf 15708 KB)

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Copyright information

© Springer-Verlag Berlin Heidelberg 2016

Authors and Affiliations

  1. 1.Japan Advanced Institute of Science and TechnologyNomiJapan

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