• DocumentCode
    643319
  • Title

    Automatic Animation Skeleton Extraction Method Based on Vertex Gauss Sphere Representation

  • Author

    Aoki, Toyohiro ; Sintunata, Vicky

  • Author_Institution
    New Ind. Hatchery Center (NICHe) Tohoku Univ., Sendai, Japan
  • fYear
    2013
  • fDate
    24-25 Sept. 2013
  • Firstpage
    77
  • Lastpage
    82
  • Abstract
    Skeletonization, or automatic skeleton extraction, is a technology in 3DCG which automatically extract skeletons (i.e. bones, joints and their hierarchical structures) from 3D models. Such skeletons are important shape and pose descriptors for object representation, object recognition etc. Some existing skeletonization methods have difficulties in correctly extracting the position of joints. Some other methods are able to extract joints correctly to some extent, but controlling the number of bones and joints in their structure is not allowed. Therefore applying motion data acquired from motion capture devices to 3D models still involves a lot of manual work. In this paper, we propose a novel animation skeletonization method suited for CG animation based on Gauss sphere representation. By applying vertex Gauss sphere representation first and then applying template matching approach regardless of the object´s shape, the proposed method is able to extract the same numbers of joints or bones in the same structure as in given motion data, i.e. one can directly apply existing motion data without the need of manual adjustment. Experimental results showed that the proposed method achieves 90% accuracy of pose estimation and 73% accuracy of joint estimation.
  • Keywords
    bone; computer animation; data acquisition; image matching; image motion analysis; image representation; object recognition; pose estimation; 3D models; 3DCG; CG animation; animation skeletonization method; automatic animation skeleton extraction method; bones; hierarchical structure; joint estimation; motion capture devices; motion data; motion data acquisition; object recognition; object representation; pose descriptors; pose estimation; shape descriptors; template matching; vertex Gauss sphere representation; Animation; Bones; Joints; Shape; Solid modeling; Three-dimensional displays; Gauss Sphere; animation skeleton; skeletonization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence, Modelling and Simulation (CIMSim), 2013 Fifth International Conference on
  • Conference_Location
    Seoul
  • Print_ISBN
    978-1-4799-2308-3
  • Type

    conf

  • DOI
    10.1109/CIMSim.2013.21
  • Filename
    6663167