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Automatic generation of salient features for the recognition of partially occluded parts*

Published online by Cambridge University Press:  09 March 2009

T.N. Mudge ,
J.L. Turney  and
R.A. Volz
T.N. Mudge
Affiliation:
Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, Michigan 48109-1109, (U.S.A.)
J.L. Turney
Affiliation:
Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, Michigan 48109-1109, (U.S.A.)
R.A. Volz
Affiliation:
Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, Michigan 48109-1109, (U.S.A.)
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Summary

A method for solving the recognition of partially occluded parts is presented. It is based on the automatic generation of features from a set of primitive features which are configurations of pairs of fixed length segments of boundary edges of the parts. The procedure that creates the recognition features assigns a number in the range (0,1) that indicates the importance of the feature in the recognition strategy. This number is referred to as the feature's saliency. The method assumes that the parts that can occur in a scene come from a known set of parts. An example illustrates how automatically generated features can be used to count the number of identical parts in a heap.

Keywords

AutomaticRecognitionOccludedGenerationFeatures
Type
Article
Information
Robotica , Volume 5 , Issue 2 , April 1987 , pp. 117 - 127
Copyright
Copyright © Cambridge University Press 1987

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