Collaborative Research: Interactive Level-Set Modeling for Visualization of Biological Volume Datasets

协作研究：生物体数据集可视化的交互式水平集建模

• 批准号: 0083287
• 负责人: David Breen
• 金额: $ 26.5万
• 依托单位: California Institute of Technology
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2000
• 资助国家: 美国
• 起止时间: 2000-10-01 至 2004-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0083287&HistoricalAwards=false
• 关键词: Collaborative; Research; Interactive; Level; Set

As scientific data becomes larger and more complex, the problem of presenting data effectively is joined by another, potentially more difficult one - how to extract presentable data from the flood of raw information. This problem is equally difficult for results from large simulations and data from high-resolution instruments. Thus, the field of scientific visualization becomes intimately tied to more traditional studies of data analysis, including image processing, pattern recognition, artificial intelligence, and computer vision. However, in contrast to those fields, visualization explicitly includes the user in the process of filtering, extracting, and rendering meaningful data. The goal of this project is to make level-set modeling - a useful but computationally expensive visualization technique - interactive for use in 3-D visualization of biological data sets.Technically, the project has three components. The first is the design and implementation of a hardware and software system for interactive level-set surface model computation and display. This system will use off-the-shelf PC hardware and graphics boards and new algorithms and software to reach its interactivity goals. The second component will create the human-computer interface that allows users to interact with the level-set models. This will require mapping user input onto the mathematical descriptions controlling surface motion and deformation in the models. Finally, the third component will be the application of the techniques to visualize large biological data sets by researchers in this project.This is a collaborative project between California Institute of Technology and the University of Utah.

随着科学数据变得越来越大、越来越复杂，有效地呈现数据的问题又被另一个可能更困难的问题所加入--如何从大量的原始信息中提取可呈现的数据。这个问题对于大型模拟的结果和高分辨率仪器的数据同样困难。因此，科学可视化领域与更传统的数据分析研究密切相关，包括图像处理，模式识别，人工智能和计算机视觉。然而，与这些字段相反，可视化明确地将用户包括在过滤、提取和呈现有意义的数据的过程中。该项目的目标是使水平集建模-一种有用但计算昂贵的可视化技术-交互式用于生物数据集的3-D可视化。第一部分是交互式水平集曲面模型计算与显示的软硬件系统的设计与实现。该系统将使用现成的PC硬件和图形板以及新的算法和软件来实现其交互性目标。第二个组件将创建人机界面，允许用户与水平集模型进行交互。这将需要将用户输入映射到控制模型中的表面运动和变形的数学描述上。最后，第三个组成部分将是应用这些技术，由本项目的研究人员将大型生物数据集可视化。这是加州理工学院和犹他州大学的合作项目。