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

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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.

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Authors and Affiliations

  1. Japan Advanced Institute of Science and Technology, Nomi, Japan

    Naoki Kita & Kazunori Miyata

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  1. Naoki Kita
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  2. Kazunori Miyata
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Correspondence to Naoki Kita.

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Kita, N., Miyata, K. Multi-class anisotropic blue noise sampling for discrete element pattern generation. Vis Comput 32, 1035–1044 (2016). https://doi.org/10.1007/s00371-016-1248-6

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