Proceedings of VMV 2017: Vision, Modeling and Visualization, 2017

Structure-aware Stylization of Mountainous Terrains

Structure-aware Stylization of Mountainous Terrains

Julian Kratt1,   Ferdinand Eisenkeil2,  Marc Spicker1,  Yunhai Wang3,  Daniel Weiskopf4,  Oliver Deussen1

1University of Konstanz, Germany
2IABG mbH, Germany
3School of Computer Science and Technology, Shandong University, China
4University of Stuttgart, Germany


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




PDF (9.4 MB) 
MP4 (71.1 MB) 


  author     = {J. Kratt and F. Eisenkeil and M. Spicker and Y. Wang and D. Weiskopf and O. Deussen},
  booktitle  = {Vision, Modeling and Visualization},
  doi        = {10.2312/vmv.20171255},
  editor     = {Matthias Hullin and Reinhard Klein and Thomas Schultz and Angela Yao},
  isbn       = {978-3-03868-049-9},
  publisher  = {The Eurographics Association},
  title      = {Structure-aware Stylization of Mountainous Terrains},
  year       = {2017},
  url        = {},