Texture-Lobes for Tree Modelling

Yotam Livny; Zhanglin Cheng; Feilong Yan; Baoquan Chen; Soeren Pirk; Oliver Deussen; Daniel Cohen-Or

doi:10.1145/2010324.1964948

Texture-Lobes for Tree Modelling

Yotam Livny, Zhanglin Cheng, Feilong Yan, Baoquan Chen, Soeren Pirk, Oliver Deussen, Daniel Cohen-Or

Research output: Contribution to journal › Article › peer-review

17 Scopus citations

Abstract

We present a lobe-based tree representation for modeling trees. The new representation is based on the observation that the tree's foliage details can be abstracted into canonical geometry structures, termed lobe-textures. We introduce techniques to (i) approximate the geometry of given tree data and encode it into a lobe-based representation, (ii) decode the representation and synthesize a fully detailed tree model that visually resembles the input. The encoded tree serves as a light intermediate representation, which facilitates efficient storage and transmission of massive amounts of trees, e.g., from a server to clients for interactive applications in urban environments. The method is evaluated by both reconstructing laser scanned trees (given as point sets) as well as re-representing existing tree models (given as polygons).

Original language	English
Pages (from-to)	1-10
Number of pages	10
Journal	ACM Transactions on Graphics
Volume	30
Issue number	4
DOIs	https://doi.org/10.1145/2010324.1964948
State	Published - 1 Jul 2011
Externally published	Yes

Keywords

Natural phenomena
Plants synthesis and reconstruction
Point-based modeling
Rule-based tree modeling

ASJC Scopus subject areas

Computer Graphics and Computer-Aided Design

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10.1145/2010324.1964948

Cite this

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abstract = "We present a lobe-based tree representation for modeling trees. The new representation is based on the observation that the tree's foliage details can be abstracted into canonical geometry structures, termed lobe-textures. We introduce techniques to (i) approximate the geometry of given tree data and encode it into a lobe-based representation, (ii) decode the representation and synthesize a fully detailed tree model that visually resembles the input. The encoded tree serves as a light intermediate representation, which facilitates efficient storage and transmission of massive amounts of trees, e.g., from a server to clients for interactive applications in urban environments. The method is evaluated by both reconstructing laser scanned trees (given as point sets) as well as re-representing existing tree models (given as polygons).",

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T1 - Texture-Lobes for Tree Modelling

AU - Livny, Yotam

AU - Cheng, Zhanglin

AU - Yan, Feilong

AU - Chen, Baoquan

AU - Pirk, Soeren

AU - Deussen, Oliver

AU - Cohen-Or, Daniel

PY - 2011/7/1

Y1 - 2011/7/1

N2 - We present a lobe-based tree representation for modeling trees. The new representation is based on the observation that the tree's foliage details can be abstracted into canonical geometry structures, termed lobe-textures. We introduce techniques to (i) approximate the geometry of given tree data and encode it into a lobe-based representation, (ii) decode the representation and synthesize a fully detailed tree model that visually resembles the input. The encoded tree serves as a light intermediate representation, which facilitates efficient storage and transmission of massive amounts of trees, e.g., from a server to clients for interactive applications in urban environments. The method is evaluated by both reconstructing laser scanned trees (given as point sets) as well as re-representing existing tree models (given as polygons).

AB - We present a lobe-based tree representation for modeling trees. The new representation is based on the observation that the tree's foliage details can be abstracted into canonical geometry structures, termed lobe-textures. We introduce techniques to (i) approximate the geometry of given tree data and encode it into a lobe-based representation, (ii) decode the representation and synthesize a fully detailed tree model that visually resembles the input. The encoded tree serves as a light intermediate representation, which facilitates efficient storage and transmission of massive amounts of trees, e.g., from a server to clients for interactive applications in urban environments. The method is evaluated by both reconstructing laser scanned trees (given as point sets) as well as re-representing existing tree models (given as polygons).

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KW - Plants synthesis and reconstruction

KW - Point-based modeling

KW - Rule-based tree modeling

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Texture-Lobes for Tree Modelling

Abstract

Keywords

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