VSE knjižnice (vzajemna bibliografsko-kataložna baza podatkov COBIB.SI)
  • Self-similarity and points of interest
    Maver, Jasna
    In this work we present a new approach to interest point detection. Different types of features in images are detected by using a common computational concept. The proposed approach consider the ... total variability of local regions. New entities are introduced: circumferences and radii. The total sum of squares computed on the intensity values of a local region is divided into three components: between-circumferences sum of squares, between-radii sum of squares, and the remainder. These three components normalized by the total sum of squares represent three new saliency measures, namely radial, tangential, and residual. The saliency measures are computed for different radii in a local region and scale-spaces are build in this way. Local extrema in scale-space of each of the saliency measures represent features with complementary image properties: blob-like features, corner-like feature and highly textured points. Results obtained on a wide variety of image sets compare favourably with the results obtained by the leading interest point detectors from the literature. The proposed approach gives a rich set of highly distinctive local regions that can be used for object recognition and image matching.
    Vir: IEEE transactions on pattern analysis and machine intelligence. - ISSN 0162-8828 (Vol. 32, no. 7, July 2010, str. 1211-1226)
    Vrsta gradiva - članek, sestavni del ; neleposlovje za odrasle
    Leto - 2010
    Jezik - angleški
    COBISS.SI-ID - 41304418

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