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CISE Postdoctoral Research Associate: Approximation of Complex Geometries and Data Reduction with NURBS; ES Postdoctoral Associate Anshuman Razdan

CISE博士后研究员：复杂几何形状的近似和NURBS数据缩减；

基本信息

批准号：
9625816
负责人：
Gerald Farin
金额：
$ 4.62万
依托单位：
Arizona State University
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
1996
资助国家：
美国
起止时间：
1996-06-15 至 1998-05-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=9625816&HistoricalAwards=false
关键词：
CISE Postdoctoral Research Associate Approximation

项目摘要

9625816 Farin, Gerald E Arizona State University CISE Postdoctoral Research Associate: Approximation of Complex Geometries and Data Reduction with NURBS This award supports associate Anshuman Razdan. At a high level, this research aims to develop a methodology for the computer representation of complex objects such as bone surfaces. Anthropologists and bio-medical engineers are restricted for lack of mathematical structure of data that can be analyzed, an example being the surfaces of bones. Computer Aided Geometric Design (CAGD) techniques will be applied to convert this unstructured data into a structured form. Dense point cloud data will be used to describe the discretized surfaces as a smooth parametric NURB (Non Uniform Rational B Spline) surface(s). Data reduction techniques will be developed to reduce the amount of data required to describe the surface(s). 3D tools will be developed to facilitate interrogation and analysis of these surfaces, to quantify measures such as curvature. The research will collaborate with a physical anthropologist at the new inter-disciplinary facility on campus, called PRISM. The surface models will also generate the STL (stereolithography format) files for 3D hard copy outputs on rapid prototyping machines. These can be used as tactile models for research into human morphology and the teaching of comparative anatomy and bio-engineering courses.

9625816 Farin，Gerald E亚利桑那州立大学 CISE博士后研究助理：复杂几何近似和NURBS数据简化该奖项支持助理Anshuman Razdan。在高层次上，这项研究的目的是开发一种方法，用于计算机表示的复杂对象，如骨表面。人类学家和生物医学工程师由于缺乏可以分析的数据的数学结构而受到限制，例如骨骼的表面。计算机辅助几何设计（CAGD）技术将被应用于将这种非结构化的数据转换为结构化的形式。密集点云数据将用于将离散化表面描述为平滑的参数化有理B（非均匀有理B样条）表面。将开发数据简化技术，以减少描述表面所需的数据量。将开发3D工具，以促进这些表面的询问和分析，以量化曲率等测量。这项研究将与校园新的跨学科设施PRISM的物理人类学家合作。表面模型还将生成STL（立体光刻格式）文件，用于快速原型制作机上的3D硬拷贝输出。这些可用作人体形态学研究和比较解剖学和生物工程课程教学的触觉模型。