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Classifying Visual Objects with the Consistency-Driven Pairwise Comparisons Method

Koczkodaj W. W., Robidoux N., Tadeusiewicz R.

Machine Graphics and Vision

2009

Vol. 18, No. 2

143-154

The classification of the various image features or visual objects can be carried out by the consistency-driven pairwise comparisons method based on their relative importance. A key issue in the proposed approach is a weight-based synthesis for combining various image features. When compared with the traditional experience-based linear assignment method, the proposed approach is more effective and easy to communicate.