Reconstruction of topologically correct and adaptive trilinear isosurfaces
Reconstruction of topologically correct and adaptive trilinear isosurfaces
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DOI：
10.1016/s0097-8493(00)00036-4
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发表时间：
2000-06-01
影响因子：
2.5
通讯作者：
Scopigno, R
中科院分区：
文献类型：
--
作者：
Cignoni, P;Ganovelli, F;Scopigno, R
本文的目标是通过采用自适应网格细化方法来拟合体数据的三线性等值面，从而支持相对于标准MC解决方案的更高精度。为了正确，自适应细化必须应用于拓扑正确的初始网格片。出于这个原因，我们设计了一个新的，详尽的查找（-）（-）表（ELUT）编码的多条目模式为每个模糊的配置。遵循Natarajan提出的解决方案，对于每个模糊配置，我们在运行时通过评估相应的鞍点集来选择实际模式。一旦已经从ELUT读取了相应的起始补丁，它就被自适应地细化以满足用户选择的精度。细化是自适应的，以确保拟合网格的复杂性不会变得过度。一些体积数据集上产生的结果的评估报告，无论是在精度和复杂性方面获得的网格。(C)2000爱思唯尔科技有限公司版权所有。
The goal of the paper is to fit trilinear iso-surfaces out of volume data, by adopting an adaptive mesh refinement approach and therefore supporting a higher accuracy with respect to standard MC solutions. In order to be correct, adaptive refinement must be applied to a topologically correct initial mesh patch. For this reason, we designed a new, exhaustive look(-)up(-)table (ELUT) which encodes multi-entry patterns for each ambiguous configuration. Following the solution proposed by Natarajan, for each ambiguous configuration we choose, at run time, the actual pattern by evaluating the corresponding set of saddle points. Once the corresponding starting patch has been read from the ELUT, it is adaptively refined to fulfill a user-selected accuracy. Refinement is adaptive to ensure that the complexity of the fitted mesh will not become excessive. An evaluation of the results produced on some volume data set is reported, both in terms of accuracy and complexity of the meshes obtained. (C) 2000 Elsevier Science Ltd. All rights reserved.