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Motion Capture and Estimation of Dynamic Properties for Realistic Tree Animation

  • Shaojun Hu
  • Peng He
  • Dongjian HeEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10582)

Abstract

The realistic animation of real-world trees is a challenging task because natural trees have various morphology and internal dynamic properties. In this paper, we present an approach to model and animate a specific tree by capturing the motion of its branches. We chose Kinect V2 to record both the RGB and depth of motion of branches with markers. To obtain the three-dimensional (3D) trajectory of branches, we used the mean-shift algorithm to track the markers from color images generated by projecting a textured point cloud onto the image plane, and then inversely mapped the tracking results in the image to 3D coordinates. Next, we performed a fast Fourier transform on the tracked 3D positions to estimate the dynamic properties (i.e., the natural frequency) of the branches. We constructed static tree models using a space colonization algorithm. Given the dynamic properties and static tree models, we demonstrated that our approach can produce realistic animation of trees in wind fields.

Keywords

Motion capture Kinect Dynamic property Tree 

Notes

Acknowledgment

We thank Dr. Maxine Garcia and Shujie Deng for editing the English text of a draft of this manuscript. The work is supported by the NSFC (61303124) and the Fundamental Research Funds for the Central Universities (Z109021708).

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.College of Information EngineeringNorthwest A&F UniversityXianyangChina
  2. 2.College of Mechanical and Electronic EngineeringNorthwest A&F UniversityXianyangChina

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