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    Haptic deformation simulation with poisson equation

    Access Status
    Fulltext not available
    Authors
    Zhong, Yongmin
    Shirinzadeh, B.
    Alici, G.
    Smith, J.
    Date
    2006
    Type
    Journal Article
    
    Metadata
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    Citation
    Zhong, Yongmin and Shirinzadeh, Bijan and Alici, Gursel and Smith, Julian. 2006. Haptic deformation simulation with poisson equation. International Journal of Image and Graphics 6 (3): pp. 445-473.
    Source Title
    International Journal of Image and Graphics
    DOI
    10.1142/S0219467806002355
    ISSN
    0219-4678
    URI
    http://hdl.handle.net/20.500.11937/17570
    Collection
    • Curtin Research Publications
    Abstract

    This paper presents a new methodology for the deformation of soft objects by drawing an analogy between Poisson equation and elastic deformation. The potential energy stored in an elastic body as a result of a deformation caused by an external force is propagated among mass points by Poisson equation. An improved Poisson model is developed for propagating the energy generated by the external force in a natural manner. A cellular neural network (CNN) model is established to solve the Poisson model for the real-time requirement of soft object deformation. A haptic virtual reality system has been established for deformation simulation with force feedback. This proposed methodology not only deals with local and large-range deformations, but also accommodates isotropic, anisotropic and inhomogeneous materials by simply modifying constitutive coefficients, as well as predicts the mechanical behaviors of living tissues.

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      This paper presents a new methodology fordeformable object modelling by drawing an analogybetween cellular neural network (CNN) and elasticdeformation. The potential energy stored in an elasticbody as a result of a ...
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