A Shape-Preserving Non-parametric Symmetry Transform

Authors:
Olli Lahdenoja;Esa Alhoniemi;Mika Laiho;Ari Paasio
Affiliations:
University of Turku, Finland;University of Turku, Finland;University of Turku, Finland;University of Turku, Finland
Venue:
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 02
Year:
2006

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Abstract

Recently, a non-parametric image measure, symmetry, for local binary patterns has been introduced. In this paper, we propose a generalised symmetry transform for arbitrary neighbourhoods and describe its theoretical properties. The symmetry of the local binary patterns is shown to be a special case of a more general non-parametric concept. Applications of the symmetry include searching of interest points and correspondence.