Data Management Tools for Surfaces and Volume Data

表面有大量先进的科学分析和计算。虚拟环境的基本几何、体数据的等值面和合成环境的细分曲面是一些例子。曲面的有效利用和数据管理需要能够查询曲面档案，以查找特定的曲面形状和特征。这种能力的核心是测量两个表面之间距离的有效方法。产生表面的算法的客观比较需要彼此或与理想的表面的类似的精确和定量的测量。该项目将开发一种计算两个表面之间距离的新方法。它还将开发高效的基本技术和算法，将该技术带入搜索表面数据库和比较表面算法等领域的日常使用。

Surfaces abound in advanced scientific analysis and computing. The basic geometry of virtual environments, the isosurfaces of volume data, and the subdivision surfaces of synthetic environments are some examples. Effective utilization and data management of surfaces requires the ability to query archives of surfaces to look for particular surface shapes and features. Central to this capability is an efficient means to measure the distance between two surfaces. The objective comparison of algorithms that produce surfaces requires a similar precise and quantitative measure of the surfaces with each other or with an ideal. This project will develop a new methodology for computing the distance between two surfaces. It will also develop efficient basic techniques and algorithms that will bring this technology into everyday use in areas of searching databases of surfaces and comparing algorithms on surfaces.