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Detail of Publication

Text Language English
Authors Martin Klinkigtļ¼ŒKoichi Kise
Title Using a Reference Point for Local Configuration of SIFT-like Features
Journal Proc. of Meeting on Image Recognition and Understanding (MIRU)
Presentation number IS2-29
Pages pp.960-967
Reviewed or not Not reviewed
Month & Year July 2010
Abstract In this paper we propose a model to describe the local configuration of SIFT-like features. This information helps to overcome the problem with background clutter in images, i.e., information extracted from areas in the image, which do not belong to the object. Our model is not static as many other proposed models. Instead we calculate during detection a reference point of the object and verify this with the features extracted from the query image. This additional step increases the detection performance around 6\% even under hard conditions, for example, if training images and query images contain background clutter.
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