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Capturing and animating the morphogenesis of polygonal tree models

Published: 01 November 2012 Publication History

Abstract

Given a static tree model we present a method to compute developmental stages that approximate the tree's natural growth. The tree model is analyzed and a graph-based description its skeleton is determined. Based on structural similarity, branches are added where pruning has been applied or branches have died off over time. Botanic growth models and allometric rules enable us to produce convincing animations from a young tree that converge to the given model. Furthermore, the user can explore all intermediate stages. By selectively applying the process to parts of the tree even complex models can be edited easily. This form of reverse engineering enables users to create rich natural scenes from a small number of static tree models.

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Published In

cover image ACM Transactions on Graphics
ACM Transactions on Graphics  Volume 31, Issue 6
November 2012
794 pages
ISSN:0730-0301
EISSN:1557-7368
DOI:10.1145/2366145
Issue’s Table of Contents
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 01 November 2012
Published in TOG Volume 31, Issue 6

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Author Tags

  1. animation
  2. generative tree modeling
  3. interactive procedural modeling
  4. plant growth
  5. visual models of trees

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  • (2024)Scintilla: Simulating Combustible Vegetation for WildfiresACM Transactions on Graphics10.1145/365819243:4(1-21)Online publication date: 19-Jul-2024
  • (2024)DeepTree: Modeling Trees With Situated LatentsIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2023.330788730:8(5795-5809)Online publication date: 1-Aug-2024
  • (2024)Accelerated forest modeling from tree canopy point clouds via deep learningInternational Journal of Applied Earth Observation and Geoinformation10.1016/j.jag.2024.104074132(104074)Online publication date: Aug-2024
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