Area- and Angle-preserving Parametrization for Vertebra Surface Mesh
Area- and Angle-preserving Parametrization for Vertebra Surface Mesh
复制标题
椎体表面网格的面积和角度保留参数化
DOI:
10.1007/978-3-319-14148-0_16
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发表时间:
2015
期刊:
影响因子:
--
通讯作者:
and Ryo Kurazume
中科院分区:
文献类型:
--
作者:
Shoko Miyauchi;Ken’ichi Morooka;Tokuo Tsuji;Yasushi Miyagi;Takaichi Fukuda;and Ryo Kurazume
This paper proposes a parameterization method of vertebra models by mapping them onto the parameterized surface of a torus. Our method is based on a modified Self-organizing Deformable Model (mSDM) [1], which is a deformable model guided by competitive learning and an energy minimization approach. Unlike conventional mapping methods, the mSDM finds the one-to-one mapping between arbitrary surface model and the target surface with the same genus as the model. At the same time, the mSDM can preserve geometrical properties of the original model before and after mapping. Moreover, users are able to control mapping positions of the feature vertices in the model. Using the mSDM, the proposed method maps the vertebra model onto a torus surface through an intermediate surface with the approximated shape of the vertebra. The use of the intermediate surface results in the stable mapping of the vertebra to a torus compared with the direct mapping from the model to the torus.