Plant models faithful to botanical structure and development

Author:

de Reffye Phillippe1,Edelin Claude2,Françon Jean3,Jaeger Marc4,Puech Claude5

Affiliation:

1. Centre de Coopération Internationale en Recherche Agronomique pour le Développement, BP 5035, 34032 Montpellier Cédex, France

2. Institut de Botanique, Université des Sciences et Techniques du Langudoc, 163, Rue Auguste Broussonnet, 34000 Montpellier, France

3. Départament d'Informatique, Université Louis Pasteur, 7 Rue René Descartes, 67084 Strasbourg Cédex, France

4. Centre de Coopération Internationale en Recherche Agronomique pour le Développement, BP 5035, 34032 Montpellier Cédex, FRANCE and Départament d'Informatique, Université Louis Pasteur, 7 Rue René Descartes, 67084 Strasbourg Cédex, France

5. Laboratoire d'Informatique, Ecole Normale Supérieure, 45 Rue d'Ulm, 75230 Paris Cédex 05, France

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.

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Graphics and Computer-Aided Design,General Computer Science

Reference25 articles.

1. Botanical Tree Image Generation

2. Modeling the mighty maple

3. Combinatoire pour la Synthese d'Images Realistes de Plantes;Eyrolles G.;Actes du Deuxieme Colloque Image, CESTA,1986

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