Journal of Computer Science and Technology

, Volume 22, Issue 6, pp 846–858 | Cite as

Simple Reconstruction of Tree Branches from a Single Range Image

Regular Paper

Abstract

3D modeling of trees in real environments is a challenge in computer graphics and computer vision, since the geometric shape and topological structure of trees are more complex than conventional artificial objects. In this paper, we present a multi-process approach that is mainly performed in 2D space to faithfully construct a 3D model of the trunk and main branches of a real tree from a single range image. The range image is first segmented into patches by jump edge detection based on depth discontinuity. Coarse skeleton points and initial radii are then computed from the contour of each patch. Axis directions are estimated using cylinder fitting in the neighborhood of each coarse skeleton point. With the help of axis directions, skeleton nodes and corresponding radii are computed. Finally, these skeleton nodes are hierarchically connected, and improper radii are modified based on plant knowledge. 3D models generated from single range images of real trees demonstrate the effectiveness of our method. The main contributions of this paper are simple reconstruction by virtue of image storage order of single scan and skeleton computation based on axis directions.

Keywords

cylinder fitting generalized circular cylinder skeleton tree branch modeling 

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Copyright information

© Science Press, Beijing, China and Springer Science + Business Media, LLC, USA 2007

Authors and Affiliations

  • Zhang-Lin Cheng
    • 1
    • 2
  • Xiao-Peng Zhang
    • 1
    • 2
  • Bao-Quan Chen
    • 3
  1. 1.Sino-French Laboratory LIAMA, Institute of AutomationChinese Academy of SciencesBeijingChina
  2. 2.National Laboratory of Pattern Recognition, Institute of AutomationChinese Academy of SciencesBeijingChina
  3. 3.Digital Technology CenterUniversity of MinnesotaMinneapolisU.S.A.

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