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Efficient mesh deformation using tetrahedron control mesh
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ACM Symposium on Solid and Physical Modeling archive
Proceedings of the 2008 ACM symposium on Solid and physical modeling table of contents
Stony Brook, New York
SESSION: Surface modeling table of contents
Pages 241-247  
Year of Publication: 2008
ISBN:978-1-60558-106-2
Authors
Jin Huang  Zhejiang University Hangzhou, P. R. China
Lu Chen  Zhejiang University Hangzhou, P. R. China
Xinguo Liu  Zhejiang University Hangzhou, P. R. China
Hujun Bao  Zhejiang University Hangzhou, P. R. China
Sponsor
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
Publisher
ACM  New York, NY, USA
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ABSTRACT

It is a challenging problem to interactively deform densely sampled complex objects. This paper proposed an easy but efficient approach to it by using coarse control meshes to embed the target objects. The control mesh can be efficiently deformed by various existing methods, and then the target object can be accordingly deformed by interpolation. One of the most simplest interpolation methods is to use the barycentric coordinates, which however generates apparent first-order discontinuity artifacts across the boundary due to its piecewise linear property. To avoid such artifacts, this paper introduced a modified barycentric interpolation (modified-BI) technique. The central idea is to add a local transformation at each control vertex for interpolation, so that we can minimize the first-order discontinuity by optimizing the local transformations. We also minimize the second order derivatives of the interpolation function to avoid undesired vibrations. While focus on deforming 3D objects embedded in tetrahedron meshes, the proposed method is applicable to 2D image objects embed in planar triangular meshes. The experimental results in both 2D and 3D demonstrated the success and advantages of the proposed method.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collaborative Colleagues:
Jin Huang: colleagues
Lu Chen: colleagues
Xinguo Liu: colleagues
Hujun Bao: colleagues