Detection of Ellipsoid Shapes using Selective Perception
Hulya Yalcin, Isil Bozma


This paper presents a novel approach to the real-time automated inspection of industrial parts for post-manufacturing quality control. The goal of the visual inspection is to determine whether all the holes on the part are located correctly and of correct shape within acceptable tolerances while ensuring that the completion time is comparable to that of an human inspector. The novelty of our system is that - in contrast to traditional systems which process the whole image – our visual processing selectively processes the incoming image. This not only reduces the required computation drastically, but also enables merging of the segments and interpolation of the contour in a natural manner.

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Carnegie Mellon University, Robotics Institute
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hulya@ri.cmu.edu