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Univ British Columbia, Dept Comp Sci, Vancouver, BC V6T 1Z4 Canada.ORCID iD: 0000-0002-5698-5983
Linköping University, Department of Electrical Engineering, Computer Vision. Linköping University, The Institute of Technology.
2009 (English)In: Image and Vision Computing, ISSN 0262-8856, Vol. 27, no 1-2, 99-107 p.Article in journal (Refereed) Published
Abstract [en]

This article introduces a new region based feature for object recognition and image matching. In contrast to many other region based features, this one makes use of colour in the feature extraction stage. We perform experiments on the repeatability rate of the features across scale and inclination angle changes, and show that avoiding to merge regions connected by only a few pixels improves the repeatability. We introduce two voting schemes that allow us to find correspondences automatically, and compare them with respect to the number of valid correspondences they give, and their inlier ratios. We also demonstrate how the matching procedure can be applied to colour correction.

Place, publisher, year, edition, pages
2009. Vol. 27, no 1-2, 99-107 p.
Keyword [en]
Wide-baseline matching, Colour, Region feature, Conic, Colour correction, Homography
National Category
Engineering and Technology
URN: urn:nbn:se:liu:diva-16258DOI: 10.1016/j.imavis.2006.10.005OAI: diva2:133538
Available from: 2009-01-12 Created: 2009-01-09 Last updated: 2015-12-10Bibliographically approved

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