2014
DOI: 10.1111/cgf.12282
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Inverse Procedural Modelling of Trees

Abstract: 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 simi… Show more

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Cited by 134 publications
(91 citation statements)
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“…In [66], the authors propose a procedural branch graph (PBG) approach that creates diverse trees with the same branch structure at different LODs (Level of Detail). Further state-of-the-art research such as [58,67,68] confirms the high maturity level of this research area.…”
Section: Generation Of Vegetationsupporting
confidence: 56%
“…In [66], the authors propose a procedural branch graph (PBG) approach that creates diverse trees with the same branch structure at different LODs (Level of Detail). Further state-of-the-art research such as [58,67,68] confirms the high maturity level of this research area.…”
Section: Generation Of Vegetationsupporting
confidence: 56%
“…Some techniques have been successfully developed for generating vegetation [22]. Recently, the sparse representation of terrains [12] combined atoms whose characteristic landforms features can be extracted from exemplars and stored in an optimized dictionary.…”
Section: Related Workmentioning
confidence: 99%
“…Later methods focus on the interaction of plants with their environment, through query modules [Měch and Prusinkiewicz 1996], inverse procedural modeling [Stava et al 2014] and through explicitly modeling the competition for resources [Palubicki et al 2009]. Data-driven and sketchbased approaches focus on modeling plants from sensor data [Livny et al 2011;Neubert et al 2007] or user-defined sketches [Ijiri et al 2006;Okabe et al 2007].…”
Section: Related Workmentioning
confidence: 99%
“…Traditionally, the adaptivity of trees and plants is modeled by explicitly considering the environment [Měch and Prusinkiewicz 1996], inverse procedural modeling [Stava et al 2014], modeling the competition for resources [Palubicki et al 2009], or simulated adaptation . Only recently, efforts in plant modeling concentrate on the dynamic behavior by simulating the physics response of plants.…”
Section: Introductionmentioning
confidence: 99%