DocumentCode
2502188
Title
Tree Axis Structure Simplification Correspondent to Botanical Properties
Author
Xie, Maojin ; Cao, Weiqun ; Yang, Gang ; Huang, Xinyuan
Author_Institution
Sch. of Inf. Sci. & Technol., Beijing Forestry Univ., Beijing, China
fYear
2009
fDate
9-13 Nov. 2009
Firstpage
368
Lastpage
375
Abstract
In order to describe the tree topology more efficiently for modeling and biological calculation, a ternary tree data structure is introduced in this paper. The data structure of a ternary tree and the topological structure of a real tree constitute a mapping, which presents the biological properties of plant axes and the relationships among plant axes of different tiers. The simplification of tree axes has explicit botanical significance. Biological properties are considered, and the fidelity is kept as high as possible between the simplified tree axes and biological features such as canopy envelope´s shape, volume and the biomass distribution inside. This paper applies the ternary tree data structure and the tree axis simplification method to simplify tree modeling and therefore generates Levels of Detail (LOD) models. Fast display of the LOD models is achieved with graphics hardware acceleration. Experimental results indicate that the introduced structural simplification is highly correspondent to a real tree´s botanical properties, keeps visual equivalence in a satisfactory degree, and is smooth in the transition between levels of detail of models. Furthermore, the approach is advantageous for graphics hardware acceleration.
Keywords
botany; solid modelling; tree data structures; botanical properties; levels of detail models; ternary tree data structure; tree axis structure simplification; Acceleration; Biological system modeling; Biomass; Graphics; Hardware; Plants (biology); Shape; Topology; Tree data structures; Tree graphs;
fLanguage
English
Publisher
ieee
Conference_Titel
Plant Growth Modeling, Simulation, Visualization and Applications (PMA), 2009 Third International Symposium on
Conference_Location
Beijing
Print_ISBN
978-1-7695-3988-1
Electronic_ISBN
978-1-4244-6330-5
Type
conf
DOI
10.1109/PMA.2009.54
Filename
5474679
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