Automatic Data Normalization and Parameterization for Optical Motion Tracking

  • Dessai S
  • Hornung A
  • Kobbelt L
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Methods for optical motion capture often require time-consuming manual processing before the data can be used for subsequent tasks such as retargeting or character animation. These processing steps restrict the applicability of motion capturing especially for dynamic VR-environments with real time requirements. To solve these problems, we present two additional, fast and automatic processing stages based on our motion capture pipeline presented in [ HSK05 ]. A normalization step aligns the recorded coordinate systems with the skeleton structure to yield a common and intuitive data basis across different recording sessions. A second step computes a parameterization based on automatically extracted main movement axes to generate a compact motion description. Our method does not restrict the placement of marker bodies nor the recording setup, and only requires a short calibration phase.

Author-supplied keywords

  • automatic
  • normalization and parameterization
  • of special markers
  • optical motion capture
  • positions of the actor
  • s body
  • the resulting data can
  • to key
  • with the markers attached

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  • Sandip Sar Dessai

  • Alexander Hornung

  • Leif Kobbelt

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