Mean-Value Geometry Encoding

نویسندگان

  • Vladislav Kraevoy
  • Alla Sheffer
چکیده

Geometry editing operations commonly use mesh encodings which capture the shape properties of the models. Given modified positions for a set of anchor vertices, the encoding is used to compute the positions for the rest of the mesh vertices, preserving the model shape as much as possible. In this paper, we introduce a new shape preserving and rotation invariant mesh encoding. We use this encoding for a variety of mesh editing applications: deformation, morphing, blending and motion reconstruction from Mocap data. The editing algorithms based on our encoding and decoding mechanism generate natural looking models that preserve the shape properties of the input.

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عنوان ژورنال:
  • International Journal of Shape Modeling

دوره 12  شماره 

صفحات  -

تاریخ انتشار 2006