Inverse Procedural Modelling of Trees

dc.contributor.authorStava, O.en_US
dc.contributor.authorPirk, S.en_US
dc.contributor.authorKratt, J.en_US
dc.contributor.authorChen, B.en_US
dc.contributor.authorMech, R.en_US
dc.contributor.authorDeussen, O.en_US
dc.contributor.authorBenes, B.en_US
dc.contributor.editorOliver Deussen and Hao (Richard) Zhangen_US
dc.date.accessioned2015-03-03T12:45:16Z
dc.date.available2015-03-03T12:45:16Z
dc.date.issued2014en_US
dc.description.abstractProcedural tree models have been popular in computer graphics for their ability to generate a variety of output trees from a set of input parameters and to simulate plant interaction with the environment for a realistic placement of trees in virtual scenes. However, defining such models and their parameters is a difficult task. We propose an inverse modelling approach for stochastic trees that takes polygonal tree models as input and estimates the parameters of a procedural model so that it produces trees similar to the input. Our framework is based on a novel parametric model for tree generation and uses Monte Carlo Markov Chains to find the optimal set of parameters. We demonstrate our approach on a variety of input models obtained from different sources, such as interactive modelling systems, reconstructed scans of real trees and developmental models.Procedural tree models have been popular in computer graphics for their ability to generate a variety of output trees from a set of input parameters and to simulate plant interaction with the environment for a realistic placement of trees in virtual scenes. However, defining such models and their parameters is a difficult task. We propose an inverse modeling approach for stochastic trees that takes polygonal tree models as input and estimates the parameters of a procedural model so that it produces trees similar to the input.en_US
dc.description.number6
dc.description.seriesinformationComputer Graphics Forumen_US
dc.description.volume33
dc.identifier.doi10.1111/cgf.12282en_US
dc.identifier.issn1467-8659en_US
dc.identifier.urihttps://doi.org/10.1111/cgf.12282en_US
dc.publisherThe Eurographics Association and John Wiley and Sons Ltd.en_US
dc.titleInverse Procedural Modelling of Treesen_US
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