Modeling and Recognizing Three-Dimensional Curved Objects

三维弯曲物体的建模和识别

• 批准号: 9224521
• 负责人: Martial Hebert
• 金额: $ 30.5万
• 依托单位: Carnegie-Mellon University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1993
• 资助国家: 美国
• 起止时间: 1993-06-01 至 1996-11-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9224521&HistoricalAwards=false
• 关键词: Modeling; Recognizing; Three; Dimensional; Curved

This is the first year of a three-year continuing award. The research explores computer vision for recognition of three- dimensional curved objects. A new technique for object modeling and recognition will be developed, based on representing objects by discrete meshes of points, and mapping of the meshes to a spherical representation. The algorithms developed in this project reduce the problem of matching and pose determination to one of finding the best rotation between two spherical maps. This is done without using any combinatorial search. These algorithms lead to a robust and computationally deterministic approach to object recognition. By removing most of the shape constraints imposed by conventional methods, they make object recognition possible in a wider range of applications. Finally, by allowing for shape matching in the presence of occlusions, they remove a major limitation of existing approaches based on spherical representations.

今年是连续三年获奖的第一年。 的 研究探索计算机视觉识别三个- 三维弯曲物体。 一种新的对象建模技术 和识别将发展，基于代表物体， 点的离散网格，以及将网格映射到球面 表示. 在这个项目中开发的算法减少了 发现之一匹配和姿态确定问题 两个球面贴图之间的最佳旋转。这是在没有 使用任何组合搜索。这些算法导致一个强大的 和计算确定性的方法来识别物体。 通过消除传统的形状限制， 方法，它们使物体识别在更广泛的范围内成为可能。 应用. 最后，通过允许在 闭塞的存在，他们消除了现有的主要限制， 基于球面表示的方法。