Orthographic Projection Approach to 3-D Industrial Parts Recognition in Manufacturing

制造业中 3D 工业零件识别的正投影法

• 批准号: 8612135
• 负责人: Julius Tou
• 金额: $ 2.99万
• 依托单位: University of Florida
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1986
• 资助国家: 美国
• 起止时间: 1986-07-01 至 1988-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=8612135&HistoricalAwards=false
• 关键词: Orthographic; Projection; Approach; Industrial; Parts

This work will explore the application of a set of coordinate transformations to the derivation of orthographic projections of objects from grey-scale video camera images, and the use of those projections, which are viewpoint-invariant, as features for 3D object recognition. Most of the research in this area has been aimed at reconstruction of 3D object models or figure interpretations from projections that were initially given, or on object recognition from line drawings or shading information. This effort could lead to a useful new method for extracting invariant features for object recognition. The limitations of this method, in terms of requirements and constraints on the kinds of objects for which it can be effective, will be explored in this study.

本工作将探讨一套坐标系的应用 的正投影推导的变换 从灰度视频摄像机图像中提取对象，以及使用这些对象 作为3D对象特征的视点不变投影 识别. 这一领域的大部分研究都是针对 重建3D物体模型或图形解释， 最初给出的预测，或者从 线条图或阴影信息。 这一努力可能导致 一种提取目标不变特征的新方法 识别. 这种方法在要求方面的局限性 以及它对哪些对象有效的限制， 将在本研究中进行探讨。