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Object Simplification Using a Skeleton-Based Weight Function

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3 Author(s)
Andras Hajdu ; Department of Informatics, University of Thessaloniki, Box 451, 54124 Thessaloniki, Greece ; Charalambos Giamas ; Joannis Pitas

In this paper, we present a novel method for template simplification, where the template is used to find interesting objects within an image. In this way, we improve computational performance since less template points are matched using a simplified template. Moreover, we increase the reliability of the matching as we keep template points with focusing on the main shape behavior (skeleton) of the template. The theoretical background of the simplification is derived through the centroidal Voronoi tessellation framework. The efficiency of the proposed approach is demonstrated with detecting human appearance in thermal images.

Published in:

2007 International Symposium on Signals, Circuits and Systems  (Volume:2 )

Date of Conference:

13-14 July 2007