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A Shape-Preserving Non-parametric Symmetry Transform
Hong Kong August 20-August 24
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICPR.2006.17218th International Conference on Patt ...
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Olli Lahdenoja, University of Turku, Finland
Esa Alhoniemi, University of Turku, Finland
Mika Laiho, University of Turku, Finland
Ari Paasio, University of Turku, Finland
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.
Citation:
Olli Lahdenoja, Esa Alhoniemi, Mika Laiho, Ari Paasio, "A Shape-Preserving Non-parametric Symmetry Transform," icpr, vol. 2, pp.373-377, 18th International Conference on Pattern Recognition (ICPR'06) Volume 2, 2006
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