Reconstructing 3D tree models using motion capture and particle flow

  • Authors:
  • Jie Long;Michael D. Jones

  • Affiliations:
  • Department of Computer Science, Brigham Young University, Provo, UT;Department of Computer Science, Brigham Young University, Provo, UT

  • Venue:
  • International Journal of Computer Games Technology
  • Year:
  • 2013

Quantified Score

Hi-index 0.00

Visualization

Abstract

Recovering tree shape frommotion capture data is a first step toward efficient and accurate animation of trees in wind usingmotion 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.