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Mr-SDM: a novel statistical deformable model for object deformation

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Abstract

In this paper, we propose a novel statistical deformable model (SDM) for Material-related object deformation, which we called Mr-SDM. In Mr-SDM, by integrating the prior knowledge of the physical material property into the training of SDM, we are able to achieve both accuracy and computational efficiency in simulating material deformation for various applications. Our Mr-SDM training process takes advantage of the accuracy of Finite Element Method (FEM) to generate a set of deforming samples which enables us to estimate the deformation parameter of an unknown object based on its material knowledge. Our experiments have shown that Mr-SDM is able to give comparable accuracy with respect to FEM while, at the same time, reducing the computation cost from O(n 2) for FEM-based simulation to O(n) using Mr-SDM.

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Authors and Affiliations

  1. Image Computing Group,Department of Computer Science, City University of Hong Kong, Hong Kong, China

    Qizhen He, Horace H. S. Ip & Jun Feng

  2. Department of Computer Science and Technology, University of Science & Technology of China, Hefei, China

    Qizhen He & Xianbin Cao

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  1. Qizhen He
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  2. Horace H. S. Ip
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  3. Jun Feng
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  4. Xianbin Cao
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Correspondence to Qizhen He.

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He, Q., Ip, H.H.S., Feng, J. et al. Mr-SDM: a novel statistical deformable model for object deformation. Vis Comput 25, 609–616 (2009). https://doi.org/10.1007/s00371-009-0333-5

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