Title: Keypatches: A New Type of Local Features for Image Matching and Retrieval
Authors: Śluzek, Andrzej
Citation: WSCG '2008: Communication Papers: The 16-th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision in co-operation with EUROGRAPHICS: University of West Bohemia, Plzen, Czech Republic, February 4 - 7, 2008, p. 231-238.
Issue Date: 2008
Publisher: Václav Skala - UNION Agency
Document type: konferenční příspěvek
URI: http://wscg.zcu.cz/wscg2008/Papers_2008/short/!_WSCG2008_Short_final.zip
ISBN: 978-80-86943-16-9
Keywords: klíčové body;geometrické vzory;lokální znaky;porovnávání obrazů;vyhledávání obrazů;radonová transformace;podobnost obrazů
Keywords in different language: keypoints;geometric patterns;local features;image matching;image retrieval;radon transform;image similarity
Abstract: The paper presents a new approach in defining (and detecting, as an additional option) local features that can be used for matching images and/or visual information retrieval. The method is based on the moment-based pattern detectors presented in previous papers. The proposed local features (preliminarily called keypatches) are obtained by approximating circular windows located at keypoints pre-detected using any typical detector with a selection of geometric patterns. At each keypoint, the optimum approximations (for all available patterns) of the window are computed using moment-based equations. For any approximation, its similarity to the actual window content is estimated. The keypatch is defined if a sufficiently accurate approximation exists. Keypoints where the window cannot be approximated with the sufficient accuracy are ignored. If no pre-detector of keypoints is available, the method itself can find the initial locations of the keypoints. The proposed approach is suitable for both grey-level and colour images (though the latter are only briefly discussed in the paper). Exemplary results explaining the method and illustrating its performances are included and discussed.
Rights: © Václav Skala - UNION Agency
Appears in Collections:WSCG '2008: Communication Papers

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