Procedural modeling of rivers from single image toward natural scene production

Jian Zhang, Chang bo Wang, Hong Qin, Yi Chen, Yan Gao

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

The rapid and flexible design of natural environments is an important yet challenging task in graphics simulation, virtual reality, and video game productions. This is particularly difficult for natural river modeling due to its complex topology, geometric diversity, and its natural interaction with the complicated terrain. In this paper, we introduce an integrated method for example-based procedural modeling to overcome such difficulties. First, we propose a compact parametric model to represent the certain river, which inherits typical features of natural rivers such as tributary, distributary, tortuosity, possible lakes adjacent to the river. Then, we demonstrate our method for generating 3D river scene solely based on the parametric model. However, choosing appropriate parameters is a tedious undertaking in practice. To further enhance our method’s functionality, we rely upon a natural river image to extract meaningful parameters toward the rapid procedural production of the new river scene. Finally, we design a new method to compare two river scenes and iteratively optimize the river network by using the simulated annealing technique. Our method can produce natural river scenes from an example river network and single terrain image with little interaction, and the synthesized scene is visually consistent with the input example in terms of feature similarity. We also demonstrate that our procedural modeling approach is highly automatic toward rapid scene production through various graphics examples.

Original languageEnglish
Pages (from-to)223-237
Number of pages15
JournalVisual Computer
Volume35
Issue number2
DOIs
StatePublished - 13 Feb 2019

Keywords

  • Natural phenomena
  • Natural river generation from images
  • Procedural modeling

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