Synthetic Silviculture: Multi-scale Modeling of Plant Ecosystems (SIGGRAPH 2019)

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Synthetic Silviculture: Multi-scale #Modeling of Plant #Ecosystems
ACM Transactions on Graphics (#SIGGRAPH 2019)

Miłosz Makowski¹, Torsten Hädrich³, Jan Scheffczyk³, Dominik L. Michels³, Sören Pirk², Wojciech Pałubicki¹
¹#AMU
²#Google Brain
³#KAUST Visual Computing Center

Project Page: http://www.pirk.info/projects/synthetic_silviculture/index.html

Abstract: Due to the enormous amount of detail and the interplay of various biological phenomena, modeling realistic ecosystems of trees and other plants is a challenging and open problem. Previous research on modeling plant ecologies has focused on representations to handle this complexity, mostly through geometric simplifications, such as points or billboards. In this paper we describe a multi-scale method to design large-scale ecosystems with individual plants that are realistically modeled and faithfully capture biological features, such as growth, plant interactions, different types of tropism, and the competition for resources. Our approach is based on leveraging inter- and intra-plant self-similarities for efficiently modeling plant geometry. We focus on the interactive design of plant ecosystems of up to 500K plants, while adhering to biological priors known in forestry and botany research. The introduced parameter space supports modeling properties of nine distinct plant ecologies (e.g.~deciduous forest, boreal forest, tundra, etc.) while each plant is represented as a 3D surface mesh as required by commodity rendering systems. The capabilities and usefulness of our framework are illustrated through numerous models of forests, individual plants, and validations.

Видео Synthetic Silviculture: Multi-scale Modeling of Plant Ecosystems (SIGGRAPH 2019) канала KAUST Computational Sciences