Illustrative Graphics & Visualization Framework for Geological-Inspired Conceptual Model Development

说明性图形

• 批准号: RGPIN-2018-06423
• 负责人: CostaSousa, Mario
• 金额: $ 2.48万
• 依托单位: University of Calgary
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2019
• 资助国家: 加拿大
• 起止时间: 2019-01-01 至 2020-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=685268
• 关键词: Illustrative; Graphics; Visualization; Framework; Geological

***In the early stages of any modeling activity, users collaboratively build a range of conceptual models, which help formulate ideas, suggest possible solutions, and make important decisions that affect subsequent modeling stages. Conceptual models are commonly represented as hand-made sketches and renderings, providing rich visual references for exploring the uncertainties and helping on the depiction of a more interpretive, approximated version of the intended model. Computational tools proposed to aid the user in this process have their foundations in the computer graphics and visualization fields of sketch-based interfaces and modeling (SBIM), non-photorealistic rendering (NPR), and illustrative visualization (IVis). These areas introduced a new paradigm that leverages the traditional illustrator's fundamental and applied drawing and rendering skills, allowing users to build and visualize models more intuitively and to gain new insights into exploring their uncertainties.******I am proposing to address fundamental research problems in SBIM, NPR/IVis identified in my previous work on applying interactive modeling and visualization to geoscience; and also inspired by examples of traditional geological sketching, rendering, and illustration practices and examples I observed over the years. I am proposing a research program with three interrelated themes and problems as follows: ******(A) “Enhancing Scientific Observations via Sketching” ***A1. Stepwise observational sketching for conceptual model development of natural structures. Synchronized SBIM and NPR, transferring what we observe without or minimally looking at the sketch while applying gestural drawing and rendering.***A2. Rule-based sketching and modeling of natural structures. Algorithmic rules based on the morphology of natural structures and their interfaces, to ensure realistic' structures are generated during sketch-input and in the model output.***(B) “Visual Abstractions of Natural Materials & Structures” ***B1. Interactive non-photorealistic rendering of natural materials. Interactive procedural NPR of fabric patterns rendered in varying multi-scale geometries and structural relationships.***B2. Interactive illustrative visualization of complex natural structures. Higher-level rendering abstraction inspired by eight general scientific illustration techniques and specific examples used in geo-scientific illustrations.***(C) “Similarity-based Conceptual Sketching & Rendering.” Integrated set of data and visual analytics algorithms to classify existing sketches and renderings and generate new ones based on similarity of multi-dimensional attributes from the input models.******The research outcomes are extendable to a broader number of scientific and engineering disciplines and applications requiring conceptual sketching and rendering in the style of our geology-inspired solutions. **

* 在任何建模活动的早期阶段，用户协作构建一系列概念模型，这有助于形成想法，建议可能的解决方案，并做出影响后续建模阶段的重要决策。概念模型通常表示为手工制作的草图和渲染图，为探索不确定性提供了丰富的视觉参考，并有助于描述预期模型的更具解释性的近似版本。提出来帮助用户在这个过程中的计算工具有其基础的计算机图形和可视化领域的草图为基础的接口和建模（SBIM），非真实感渲染（NPR），和说明性可视化（IVIS）。这些领域引入了一种新的范式，利用传统插画师的基本和应用绘图和渲染技能，使用户能够更直观地构建和可视化模型，并获得探索其不确定性的新见解。我建议解决SBIM，NPR/IVis在我以前的工作中确定的基础研究问题，将交互式建模和可视化应用于地球科学;并受到传统地质素描，渲染和插图实践的例子的启发，我观察了多年。我提出的研究计划有三个相互关联的主题和问题如下：**（A）“通过素描加强科学观察”*A1。自然结构概念模型发展的逐步观察草图。同步SBIM和NPR，在应用手势绘制和渲染时，无需或最低限度地查看草图即可传输我们观察到的内容。* A2.自然结构的基于规则的草图绘制和建模。基于自然结构形态及其界面的几何规则，确保在草图输入和模型输出过程中生成逼真的结构。* (B)“自然材料和结构的视觉抽象”*B1。自然材料的交互式非真实感绘制。交互式程序NPR的织物图案呈现在不同的多尺度几何形状和结构关系。* B2.复杂自然结构的交互式说明性可视化。更高层次的渲染抽象灵感来自八种一般科学插图技术和地球科学插图中使用的具体示例。(C)基于相似性的概念草图绘制和渲染。集成的数据集和可视化分析算法，可对现有草图和渲染进行分类，并根据输入模型中多维属性的相似性生成新的草图和渲染。**研究成果可扩展到更广泛的科学和工程学科以及需要以我们的地质启发解决方案风格进行概念草图和渲染的应用。**