TY - JOUR
T1 - Guided Ecological Simulation for Artistic Editing of Plant Distributions in Natural Scenes
AU - Bradbury, Gwyneth A.
AU - Subr, Kartic
AU - Koniaris, Charalampos
AU - Mitchell, Kenny
AU - Weyrich, Tim
N1 - "This work was supported by the UCL EngD VEIV Centre for Doctoral Training as well as by funding from both Disney Research and the Engineering and Physical Sciences Research Council (EPSRC)."
PY - 2015/11/19
Y1 - 2015/11/19
N2 - 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.
AB - 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.
M3 - Article
SN - 2331-7418
VL - 4
SP - 28
EP - 53
JO - Journal of Computer Graphics Techniques
JF - Journal of Computer Graphics Techniques
IS - 4
ER -