Publikation: Multi-class inverted stippling
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2021
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Schulz, Christoph
Baumgartner, Daniel
Reina, Guido
Weiskopf, Daniel
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ACM Transactions on Graphics. Association for Computing Machinery (ACM). 2021, 40(6), 245. ISSN 0730-0301. eISSN 1557-7368. Available under: doi: 10.1145/3478513.3480534
Zusammenfassung
We introduce inverted stippling, a method to mimic an inversion technique used by artists when performing stippling. To this end, we extend Linde-Buzo-Gray (LBG) stippling to multi-class LBG (MLBG) stippling with multiple layers. MLBG stippling couples the layers stochastically to optimize for per-layer and overall blue-noise properties. We propose a stipple-based filling method to generate solid color backgrounds for inverting areas. Our experiments demonstrate the effectiveness of MLBG in terms of reducing overlapping and intensity accuracy. In addition, we showcase MLBG with color stippling and dynamic multi-class blue-noise sampling, which is possible due to its support for temporal coherence.
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SCHULZ, Christoph, Kin Chung KWAN, Michael BECHER, Daniel BAUMGARTNER, Guido REINA, Oliver DEUSSEN, Daniel WEISKOPF, 2021. Multi-class inverted stippling. In: ACM Transactions on Graphics. Association for Computing Machinery (ACM). 2021, 40(6), 245. ISSN 0730-0301. eISSN 1557-7368. Available under: doi: 10.1145/3478513.3480534BibTex
@article{Schulz2021Multi-55976,
year={2021},
doi={10.1145/3478513.3480534},
title={Multi-class inverted stippling},
number={6},
volume={40},
issn={0730-0301},
journal={ACM Transactions on Graphics},
author={Schulz, Christoph and Kwan, Kin Chung and Becher, Michael and Baumgartner, Daniel and Reina, Guido and Deussen, Oliver and Weiskopf, Daniel},
note={Article Number: 245}
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<dcterms:abstract xml:lang="eng">We introduce inverted stippling, a method to mimic an inversion technique used by artists when performing stippling. To this end, we extend Linde-Buzo-Gray (LBG) stippling to multi-class LBG (MLBG) stippling with multiple layers. MLBG stippling couples the layers stochastically to optimize for per-layer and overall blue-noise properties. We propose a stipple-based filling method to generate solid color backgrounds for inverting areas. Our experiments demonstrate the effectiveness of MLBG in terms of reducing overlapping and intensity accuracy. In addition, we showcase MLBG with color stippling and dynamic multi-class blue-noise sampling, which is possible due to its support for temporal coherence.</dcterms:abstract>
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