Title :
A Shape-Preserving Non-parametric Symmetry Transform
Author :
Lahdenoja, Olli ; Alhoniemi, Esa ; Laiho, Mika ; Paasio, Ari
Author_Institution :
Dept. of Inf. Technol., Turku Univ.
Abstract :
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
Keywords :
image matching; arbitrary neighbourhoods; local binary patterns; nonparametric image measure; shape-preserving nonparametric symmetry transform; Distortion measurement; Face recognition; Gray-scale; Information technology; Kernel; Lighting; Noise robustness; Pattern recognition; Pixel; Shape;
Conference_Titel :
Pattern Recognition, 2006. ICPR 2006. 18th International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
0-7695-2521-0
DOI :
10.1109/ICPR.2006.172