Abstract
Given a single image of a scene containing a perspective view of three-dimensional objects, we would like a computer vision system to be able to perceive the objects in it. This paper describes an efficient way of labeling a line-drawing image and shows how to utilize the line-labeling and junction-labeling information to group together faces of the same object volume and predict the simplest arrangement and types of the hidden vertices caused by the overlapping of objects. This scheme is valid for both planar and curved-surface objects. In addition, it can handle some instances of multi-type vertices.
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