Research Output

Guided ecological simulation for artistic editing of plant distributions in natural scenes.

  In this paper we present a novel approach to author vegetation cover of large natural scenes. Unlike stochastic scatter-instancing tools for plant placement (such as multi-class blue noise generators), we use a simulation based on ecological processes to produce layouts of plant distributions. In contrast to previous work on ecosystem simulation, however, we propose a framework of global and local editing operators that can be used to interact directly with the live simulation. The result facilitates an artist-directed workflow with both spatially-and temporally-varying control over the simulation's output. We compare our result against random-scatter solutions, also employing such approaches as a seed to our algorithm. We demonstrate the versatility of our approach within an iterative authoring workflow, comparing it to typical artistic methods.

  • Type:

    Article

  • Date:

    01 January 2015

  • Publication Status:

    Published

  • ISSN:

    2331-7418

  • Library of Congress:

    QA75 Electronic computers. Computer science

  • Dewey Decimal Classification:

    006.6 Computer graphics

  • Funders:

    Engineering and Physical Sciences Research Council

Citation

Bradbury, G. A., Subr, K., Koniaris, C., Mitchell, K., & Weyrich, T. (2014). Guided ecological simulation for artistic editing of plant distributions in natural scenes. The Journal of Computer Graphics Techniques, 4(4), ISSN 2331-7418

Authors

Keywords

Artistic Editing, Natural Scenes,

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