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Shape Information from Rotated Scans

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1 Author(s)
Sinden, F. W. ; AT&T Bell Laboratories, Murray Hill, NJ 07974.

In many proposed applications, robots are required to recognize a relatively small number of object types, each well defined by shape. In such cases, relatively simple pattern recognition methods may be adequate. This paper presents a number of exceptionally simple shape discrimination algorithms which exploit the particularly covenient data provided by the combination of a rotating camera and analog edge finder proposed by Miller and Boie.

Published in:

Pattern Analysis and Machine Intelligence, IEEE Transactions on  (Volume:PAMI-7 ,  Issue: 6 )