Structure-aware Stylization of Mountainous Terrains

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FELLNER, Dieter, ed.. VMV 2017 : Vision, Modeling and Visualization ; Proceedings. Goslar: Eurographics Association, 2017, pp. 17-28. ISBN 978-3-03868-049-9. Available under: doi: 10.2312/vmv.20171255
Zusammenfassung

We present a method for the stylization of mountainous terrains that allows creating abstract representations in different rendering styles. Our method consists of two major components: structure-aware terrain filtering and streamline-based hatching. For a given input terrain we compute different Levels-of-Detail (LoD) according to a crest line oriented importance measure and then filter each LoD accordingly. We generate flow fields for each LoD and compute streamlines to direct the production of hatching lines. The combination of crest and silhouette lines with streamline-based hatching allows us to create a variety of styles in different Levels-of-Detail. We evaluate our method using several terrains and demonstrate the effectiveness of our method by composing a number of different illustration styles.

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VMV 2017 : Vision, Modeling and Visualization, 25. Sep. 2017 - 27. Sep. 2017, Bonn
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ISO 690KRATT, Julian, Ferdinand EISENKEIL, Marc SPICKER, Yunhai WANG, Daniel WEISKOPF, Oliver DEUSSEN, 2017. Structure-aware Stylization of Mountainous Terrains. VMV 2017 : Vision, Modeling and Visualization. Bonn, 25. Sep. 2017 - 27. Sep. 2017. In: FELLNER, Dieter, ed.. VMV 2017 : Vision, Modeling and Visualization ; Proceedings. Goslar: Eurographics Association, 2017, pp. 17-28. ISBN 978-3-03868-049-9. Available under: doi: 10.2312/vmv.20171255
BibTex
@inproceedings{Kratt2017Struc-41090,
  year={2017},
  doi={10.2312/vmv.20171255},
  title={Structure-aware Stylization of Mountainous Terrains},
  isbn={978-3-03868-049-9},
  publisher={Eurographics Association},
  address={Goslar},
  booktitle={VMV 2017 : Vision, Modeling and Visualization ; Proceedings},
  pages={17--28},
  editor={Fellner, Dieter},
  author={Kratt, Julian and Eisenkeil, Ferdinand and Spicker, Marc and Wang, Yunhai and Weiskopf, Daniel and Deussen, Oliver}
}
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