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Towards the theory and practice of verifying visualizations.

机译:走向验证可视化的理论和实践。

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摘要

In this dissertation, we advance the theory and practice of verifying visualization algori- thms. We present techniques to assess visualization correctness through testing of important mathematical properties. Where applicable, these techniques allow us to distinguish whether anomalies in visualization features can be attributed to the underlying physical process or to artifacts from the implementation under verification. Such scientific scrutiny is at the heart of verifiable visualization---subjecting visualization algorithms to the same verification process that is used in other components of the scientific pipeline. The contributions of this dissertation are manifold. We derive the mathematical framework for the expected behavior of several visualization algorithms, and compare them to experimentally observed results in the selected codes. In the Computational Science & Engineering community CS&E, this technique is know as the Method of Manufactured Solution (MMS). We apply MMS to the verification of geometrical and topological properties of isosurface extraction algorithms, and direct volume rendering. We derive the convergence of geometrical properties of isosurface extraction techniques, such as function value and normals. For the verification of topological properties, we use stratified Morse theory and digital topology to design algorithms that verify topological invariants. In the case of volume rendering algorithms, we provide the expected discretization errors for three different error sources. The results of applying the MMS is another important contribution of this dissertation. We report unexpected behavior for almost all implementations tested. In some cases, we were able to find and fix bugs that prevented the correctness of the visualization algorithm. In particular, we address an almost 20-year-old bug with the core disambiguation procedure of Marching Cubes 33, one of the first algorithms intended to preserve the topology of the trilinear interpolant. Finally, an important by-product of this work is a range of responses practitioners can expect to encounter with the visualization technique under verification.
机译:在本文中,我们提出了验证可视化算法的理论和实践。我们提出了通过测试重要的数学属性来评估可视化正确性的技术。在适用的情况下,这些技术使我们能够区分可视化功能中的异常是否可归因于基础物理过程或正在验证的实施中的工件。这种科学审查是可验证可视化的核心-将可视化算法置于科学管道其他组件所使用的同一验证过程中。本文的贡献是多方面的。我们推导了几种可视化算法的预期行为的数学框架,并将其与所选代码中的实验观察结果进行比较。在计算科学与工程社区CS&E中,此技术被称为制造溶液方法(MMS)。我们将MMS应用于等值面提取算法的几何和拓扑属性验证以及直接体积渲染。我们得出等值面提取技术(例如函数值和法线)的几何属性的收敛性。为了验证拓扑属性,我们使用分层的摩尔斯理论和数字拓扑设计验证拓扑不变性的算法。对于体绘制算法,我们为三种不同的误差源提供了预期的离散误差。 MMS的应用结果是本论文的另一个重要贡献。我们报告了几乎所有经过测试的实现的意外行为。在某些情况下,我们能够找到并修复导致可视化算法不正确的错误。特别是,我们使用Marching Cubes 33的核心消歧过程解决了将近20年的bug,Marching Cubes 33是旨在保留三线性插值拓扑的最早算法之一。最后,这项工作的重要副产品是从业人员在经过验证的可视化技术中可能期望遇到的一系列响应。

著录项

  • 作者

    Queiroz, Tiago Etiene.;

  • 作者单位

    The University of Utah.;

  • 授予单位 The University of Utah.;
  • 学科 Computer Science.;Mathematics.;Health Sciences Radiology.
  • 学位 Ph.D.
  • 年度 2013
  • 页码 155 p.
  • 总页数 155
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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