{"title":"Procedural multiresolution for plant and tree rendering","authors":"J. Lluch, E. Camahort, R. Vivó","doi":"10.1145/602330.602336","DOIUrl":null,"url":null,"abstract":"Modeling and rendering of plants and trees requires generating and processing large numbers of polygons. Geometry simplification methods may be used to reduce the polygon count and obtain a multiresolution representation. However, those methods fail to preserve the visual structure of a tree. We propose a different approach: procedural multiresolution. We build procedural models that reflect a tree's visual structure at different resolution levels. The models are based on parametric L-systems. Our method takes a parametric chain representing a tree and generates a new chain with embedded multiresolution information. The algorithm is based on a metric that quantifies the relevance of the branches of a tree. The representation supports efficient geometry extraction and produces good visual results.","PeriodicalId":325699,"journal":{"name":"International Conference on Computer Graphics, Virtual Reality, Visualisation and Interaction in Africa","volume":"30 3","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"36","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Computer Graphics, Virtual Reality, Visualisation and Interaction in Africa","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/602330.602336","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 36
Abstract
Modeling and rendering of plants and trees requires generating and processing large numbers of polygons. Geometry simplification methods may be used to reduce the polygon count and obtain a multiresolution representation. However, those methods fail to preserve the visual structure of a tree. We propose a different approach: procedural multiresolution. We build procedural models that reflect a tree's visual structure at different resolution levels. The models are based on parametric L-systems. Our method takes a parametric chain representing a tree and generates a new chain with embedded multiresolution information. The algorithm is based on a metric that quantifies the relevance of the branches of a tree. The representation supports efficient geometry extraction and produces good visual results.