Inverse Procedural Modelling of Trees
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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 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.
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STAVA, Ondrej, Sören PIRK, Julian KRATT, Baoquan CHEN, Radomir MECH, Oliver DEUSSEN, Bedrich BENES, 2014. Inverse Procedural Modelling of Trees. In: Computer Graphics Forum. 2014, 33(6), pp. 118-131. ISSN 0167-7055. eISSN 1467-8659. Available under: doi: 10.1111/cgf.12282BibTex
@article{Stava2014Inver-27814, year={2014}, doi={10.1111/cgf.12282}, title={Inverse Procedural Modelling of Trees}, number={6}, volume={33}, issn={0167-7055}, journal={Computer Graphics Forum}, pages={118--131}, author={Stava, Ondrej and Pirk, Sören and Kratt, Julian and Chen, Baoquan and Mech, Radomir and Deussen, Oliver and Benes, Bedrich} }
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