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Plant models faithful to botanical structure and development

Published: 01 June 1988 Publication History

Abstract

Some very impressive results have been obtained in the past few years in plants and trees image synthesis. Some algorithms are largely based on the irregularity and fuzziness of the objects, and use fractals, graftals or particle systems. Others focus on the branching pattern of the trees with emphasis on morphology. Our concern here is the faithfulness of the models to the botanical nature of trees and plants. We present a model which integrates botanical knowledge of the architecture of the trees: how they grow, how they occupy space, where and how leaves, flowers or fruits are located, etc. The very first interest of the model we propose is its great richness: the same procedural methods can produce "plants" as different as weeping willows, fir trees, cedar trees, frangipani trees, poplars, pine trees, wild cherry trees, herbs, etc. Another very important benefit one can derive from the model is the integration of time which enables viewing the aging of a tree (possibility to get different pictures of the same tree at different ages, accurate simulation of the death of leaves and branches for example). The ease to integrate physical parameters such as wind, the incidence of factors such as insects attacks, use of fertilizers, plantation density, and so on makes it a useful tool for agronomy or botany.

References

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Published In

cover image ACM SIGGRAPH Computer Graphics
ACM SIGGRAPH Computer Graphics  Volume 22, Issue 4
Aug. 1988
330 pages
ISSN:0097-8930
DOI:10.1145/378456
Issue’s Table of Contents
  • cover image ACM Conferences
    SIGGRAPH '88: Proceedings of the 15th annual conference on Computer graphics and interactive techniques
    August 1988
    356 pages
    ISBN:0897912756
    DOI:10.1145/54852
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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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 June 1988
Published in SIGGRAPH Volume 22, Issue 4

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Author Tags

  1. botany
  2. database amplification
  3. growth simulation
  4. plant
  5. tree

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  • (2024)DeepTreeSketch: Neural Graph Prediction for Faithful 3D Tree Modeling from SketchesProceedings of the CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642125(1-19)Online publication date: 11-May-2024
  • (2024)A Dynamic L-System-Based Architectural Maize Model for 3-D Radiative Transfer SimulationIEEE Transactions on Geoscience and Remote Sensing10.1109/TGRS.2023.334851162(1-20)Online publication date: 2024
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