Reconstructing 3D Tree Models Using Motion Capture and Particle Flow

Recovering tree shape from motion capture data is a first step toward efficient and accurate animation of trees in wind using motion capture data. Existing algorithms for generating models of tree branching structures for image synthesis in computer graphics are not adapted to the unique data set pr...

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Main Authors: Jie Long, Michael D. Jones
Format: Article
Language:English
Published: Wiley 2013-01-01
Series:International Journal of Computer Games Technology
Online Access:http://dx.doi.org/10.1155/2013/363160
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author Jie Long
Michael D. Jones
author_facet Jie Long
Michael D. Jones
author_sort Jie Long
collection DOAJ
description Recovering tree shape from motion capture data is a first step toward efficient and accurate animation of trees in wind using motion capture data. Existing algorithms for generating models of tree branching structures for image synthesis in computer graphics are not adapted to the unique data set provided by motion capture. We present a method for tree shape reconstruction using particle flow on input data obtained from a passive optical motion capture system. Initial branch tip positions are estimated from averaged and smoothed motion capture data. Branch tips, as particles, are also generated within a bounding space defined by a stack of bounding boxes or a convex hull. The particle flow, starting at branch tips within the bounding volume under forces, creates tree branches. The forces are composed of gravity, internal force, and external force. The resulting shapes are realistic and similar to the original tree crown shape. Several tunable parameters provide control over branch shape and arrangement.
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language English
publishDate 2013-01-01
publisher Wiley
record_format Article
series International Journal of Computer Games Technology
spelling doaj-art-c00d7bf0b1b94437a6a75dffa62ade9f2025-08-20T02:19:27ZengWileyInternational Journal of Computer Games Technology1687-70471687-70552013-01-01201310.1155/2013/363160363160Reconstructing 3D Tree Models Using Motion Capture and Particle FlowJie Long0Michael D. Jones1Department of Computer Science, Brigham Young University, Provo, UT 84604, USADepartment of Computer Science, Brigham Young University, Provo, UT 84604, USARecovering tree shape from motion capture data is a first step toward efficient and accurate animation of trees in wind using motion capture data. Existing algorithms for generating models of tree branching structures for image synthesis in computer graphics are not adapted to the unique data set provided by motion capture. We present a method for tree shape reconstruction using particle flow on input data obtained from a passive optical motion capture system. Initial branch tip positions are estimated from averaged and smoothed motion capture data. Branch tips, as particles, are also generated within a bounding space defined by a stack of bounding boxes or a convex hull. The particle flow, starting at branch tips within the bounding volume under forces, creates tree branches. The forces are composed of gravity, internal force, and external force. The resulting shapes are realistic and similar to the original tree crown shape. Several tunable parameters provide control over branch shape and arrangement.http://dx.doi.org/10.1155/2013/363160
spellingShingle Jie Long
Michael D. Jones
Reconstructing 3D Tree Models Using Motion Capture and Particle Flow
International Journal of Computer Games Technology
title Reconstructing 3D Tree Models Using Motion Capture and Particle Flow
title_full Reconstructing 3D Tree Models Using Motion Capture and Particle Flow
title_fullStr Reconstructing 3D Tree Models Using Motion Capture and Particle Flow
title_full_unstemmed Reconstructing 3D Tree Models Using Motion Capture and Particle Flow
title_short Reconstructing 3D Tree Models Using Motion Capture and Particle Flow
title_sort reconstructing 3d tree models using motion capture and particle flow
url http://dx.doi.org/10.1155/2013/363160
work_keys_str_mv AT jielong reconstructing3dtreemodelsusingmotioncaptureandparticleflow
AT michaeldjones reconstructing3dtreemodelsusingmotioncaptureandparticleflow