Abstract: This paper presents a new approach to sampling and surface reconstruction which uses the physically based models. We introduce adaptive-size meshes which automatically update the size of the meshes as the distance between the nodes changes. We have implemented the adaptive-size algorithm to the following three applications: (1) Sampling of the intensity data. (2) Surface reconstruction of the range data. (3) Surface reconstruction of the 3-D computed tomography left ventricle data. The LV data was acquired by the 3-D computed tomography (CT) scanner. It was provided by Dr. Eric Hoffman at University of Pennsylvania Medical school and consists of 16 volumetric (128 $MUL 128 $MUL 118) images taken through the heart cycle. !14
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机译：摘要：本文提出了一种基于物理模型的采样和表面重建新方法。我们引入了自适应大小的网格，当节点之间的距离改变时，该网格会自动更新网格的大小。我们已经对以下三个应用实现了自适应大小算法：（1）强度数据的采样。 （2）范围数据的表面重建。 （3）3-D计算机断层扫描左心室数据的表面重建。 LV数据是通过3-D计算机断层扫描（CT）扫描仪获取的。它由宾夕法尼亚大学医学院的埃里克·霍夫曼（Eric Hoffman）博士提供，由通过心动周期拍摄的16幅体积（128 $ MUL 128 $ MUL 118）图像组成。 ！14
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