In this paper we present a novel rotation- and affine-invariant image regions detector, coined OSR (Optimum Similar Regions). The two steps of OSR is: first, segment an image with thresholds based on graph theory, these regions of the segmentation results are so called similar regions. Second, the subset of similar regions is confirmed according to the regulation of the similar region’s cardinality. The paper presents experimental results on a standard evaluation set, as well as on application of wide baseline image matching. Both of them show OSR’s strong performance.


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    Title :

    Finding Optimum Similar Regions


    Contributors:
    Xu, Zhengguang (author) / Yuan, Gu (author)


    Publication date :

    2008-05-01


    Size :

    1352693 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




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