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Recognition of three-dimensional objects from orthographic views

机译:从正交视图识别三维物体

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This paper presents a program interpreting orthographic drawings input through a digitizing tablet into three-dimensional (3-D) objects. Ambiguity arises in such a task not only in the case of two views but also with three-view inputs, due to coinciding projections of vertices. The main effort consists in heuristically reducing this ambiguity. The general strategy is a bottom-up identification of the objects starting with the tablet-coordinates and aggregating them into vertices, then faces and finally polyhedra. The program does not contain any high level geometrical concepts or probable properties of 3-D objects but only some basic definitions of polyhedra (as expressed by Euler and Mobius). By applying these definitions to different parts of the scene to recognize, it defines local sets of alternatives and then chooses the right ones by running a mini theorem prover over these sets. A major issue in writing this program has been to limit the drawing constraints imposed on the user. In case thatit gets blocked in the recognition process, however, the program can require the user's help.
机译:本文介绍了一种程序,该程序将通过数字化输入板输入的正交图形解释为三维(3-D)对象。由于顶点的重合投影,在这样的任务中,不仅在两个视图的情况下,而且在三视图输入的情况下,都产生了歧义。主要的努力在于启发式地减少这种歧义。总体策略是从对象的底部向上识别对象,首先是数位板坐标,然后将其聚合为顶点,然后是面,最后是多面体。该程序不包含任何高级几何概念或3-D对象的可能属性,而仅包含多面体的一些基本定义(由Euler和Mobius表示)。通过将这些定义应用于场景的不同部分以进行识别,它定义了局部选择集,然后通过在这些集合上运行迷你定理证明器来选择正确的选择集。编写此程序的主要问题是限制对用户的绘图限制。但是,如果该程序在识别过程中被阻止,则该程序可能需要用户的帮助。

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