VISUALIZATION: Effective Visualizations for Complex 3- and 4-Dimensional Flow Fields

可视化：复杂 3 维和 4 维流场的有效可视化

• 批准号: 0222903
• 负责人: Roger Crawfis
• 金额: $ 25.01万
• 依托单位: Ohio State University Research Foundation -DO NOT USE
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-10-01 至 2006-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0222903&HistoricalAwards=false
• 关键词: VISUALIZATION; Effective; Visualizations; Complex; Dimensional

Despite many advances in the visualization community over the past decade,effective and efficient representations for three-dimensional flow fields are still elusive.Many techniques show promise, but do not represent a complete picture ofthe flow.This project consists of a systematic investigation of the currenttechniques, their advantages and disadvantages, research and analysis of combined techniques which complement each other, and research into new techniques.Cognitive analysis and user studies will be undertaken to investigate existing research. Many of these techniques, including those of the PIs, proposed a method of representing or rendering a flowfield, with little selfexamination of the limitations towards garnering a true understanding of the flowfield.Several of these techniques have obvious limitations, but present an improvement overthe dearth of any good techniques for three-dimensional flow visualization. Bycombining several techniques appropriately, more improvements can bemade. Are these improvements sufficient? What combinations work and which ones do not?These questions will be investigated and quantified in this research.Finally, we will ask: How can new techniques be developed that will overcome some of theselimitations?Our subjective understanding of the field allows us to propose severalavenues of investigation. These include an-isotropic volume renderings, embeddedwith flow differentiators; schematic texture algorithms for opaque and semi-transparent streamsurfaces; level-of-detail models for representing the flow; multi-resolution representationof underlying features; and new representations that provide a more meaningful contextfor the flow.This research will greatly aid computational scientists across many disciplines: computational fluid dynamics scientists, environment scientists, atmospheric scientists, computational geological scientists and biomedical researchers.A primary component of their research is the investigation or simulation of natural phenomena.This phenomena is generally dynamic, leading to complex and interesting flow fields. Forthree-dimensional computations, effective tools to understand, represent and convey theseflows are lacking. This research will provide a firm foundation for research in this area, as well as lead to new algorithms offering a much clearer representation for flows.

尽管可视化领域在过去的十年里取得了许多进展，但对三维流场的有效和高效的表示仍然是缺乏的。许多技术是有希望的，但并不能代表流动的完整图景。本项目包括对现有技术的系统调查、它们的优缺点、组合技术的研究和分析以及新技术的研究。认知分析和用户研究将被用来调查现有的研究。这些技术中的许多，包括PI的技术，提出了一种表示或绘制流场的方法，几乎没有对获得对流场的真正理解的限制进行自我检查。这些技术中的一些具有明显的局限性，但相对于缺乏任何好的三维流动可视化技术而言，它们是一种进步。通过适当地结合几种技术，可以做出更多的改进。这些改善是否足够呢？哪些组合有效，哪些组合无效？这些问题将在这项研究中进行调查和量化。最后，我们将问：如何开发新的技术来克服一些限制？我们对该领域的主观理解允许我们提出几种研究途径。这项研究将极大地帮助许多学科的计算科学家：计算流体动力学科学家、环境科学家、大气科学家、计算地质科学家和生物医学研究人员。他们的研究的一个主要组成部分是对自然现象的调查或模拟。这种现象通常是动态的，导致复杂和有趣的流场。对于三维计算，缺乏有效的工具来理解、表示和传达这些流动。这项研究将为这一领域的研究提供坚实的基础，并导致新的算法提供更清晰的流表示。