Object Interpretation Using Boundary Based Perceptually Valid Features

An important perceptual task for both human and machine vision is to be able to interpret images in terms of distinct objects. This paper presents a technique for object interpretation in line drawings. The method is based on the use of features which have special perceptual significance for human vision. By using such features, and by devising an orientation-boundary representation, a simple, efficient algorithm can be used to interpret line drawings which can contain both straight and curved lines, and can depict any type of object.

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