General Visible Surface Reconstruction Based on Growing Three Dimensional Curves and Surfaces

基于生长三维曲线曲面的通用可见曲面重建

• 批准号: 9408700
• 负责人: Charles Stewart
• 金额: $ 16.96万
• 依托单位: Rensselaer Polytechnic Institute
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1994
• 资助国家: 美国
• 起止时间: 1994-08-01 至 1998-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9408700&HistoricalAwards=false
• 关键词: General; Visible; Surface; Reconstruction; Based

This is the first-year funding of a three-year continuing award. Three-dimensional data taken from complex scenes place strong demands on the robustness and generality of visible surface reconstruction techniques. In this research a complete reconstruction algorithm will be developed that distinguishes between surfaces, space curves, and clouds of points based on asymmetries in point distributions in expanding three-dimensional image neighborhoods. The properties of this algorithm will be studied analytically and confirmed experimentally on both synthetic data and range data acquired from a variety of sensors. The software will be made available to other researchers for further testing. The goal is to understand fully both the strengths and weaknesses of the technique. This will provide a solid basis for future research and will make it easy to evaluate the technique's usefulness for specific applications. Potential applications range from robotic navigation to reverse engineering.

这是一个为期三年的连续奖励的第一年资助。 复杂场景中的三维数据对可见表面重建技术的鲁棒性和通用性提出了很高的要求。 在这项研究中，将开发一个完整的重建算法，区分表面，空间曲线，点云的基础上点分布的不对称性，在扩大三维图像的邻域。 该算法的性能将进行研究分析和实验证实的合成数据和从各种传感器获得的范围数据。 该软件将提供给其他研究人员进行进一步测试。 我们的目标是充分了解该技术的优点和缺点。 这将为未来的研究提供坚实的基础，并使其易于评估该技术在特定应用中的有用性。 潜在的应用范围从机器人导航到逆向工程。