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

这项工作将探索一组坐标变换在从灰度摄像机图像中推导出物体的正射投影的应用，以及使用这些投影作为3D物体识别的特征。这一领域的大多数研究都是针对从最初给出的投影重建3D对象模型或图形解释，或者根据线条画或阴影信息进行对象识别。这一努力可能导致一种有用的新方法，用于提取对象识别的不变特征。在这项研究中，将探讨这种方法的局限性，即对其有效的对象的要求和约束。

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.