BIROn - Birkbeck Institutional Research Online

    A probabilistic definition of salient regions for image matching

    Maybank, Stephen J. (2013) A probabilistic definition of salient regions for image matching. Neurocomputing 120 , pp. 4-14. ISSN 0925-2312.

    6411.pdf - Author's Accepted Manuscript
    Available under License Creative Commons Attribution Non-commercial No Derivatives.

    Download (971kB) | Preview


    A probabilistic definition of saliency is given in a form suitable for applications to image matching. In order to make this definition, the values of the pixels in pairs of matching regions are modeled using an elliptically symmetric distribution (ESD). The values of the pixels in background pairs of regions are also modeled using an ESD. If a region is given in one image, then the conditional probability density function for the pixel values in a matching region can be calculated. The saliency of the given region is defined to be the Kullback-Leibler divergence between this conditional pdf and a background conditional pdf. Experiments carried out using images in the Middlebury stereo database show that if the salience of a given image region is high, then there are relatively few background regions that have a better match to the given region than the true matching region.


    Item Type: Article
    Keyword(s) / Subject(s): Discrete cosine transform, Elliptically symmetric distribution, Image statistics, Kullback-Leibler divergence, Salient image regions, Stereo matching
    School: Birkbeck Faculties and Schools > Faculty of Science > School of Computing and Mathematical Sciences
    Depositing User: Administrator
    Date Deposited: 08 Apr 2013 08:23
    Last Modified: 09 Aug 2023 12:32


    Activity Overview
    6 month trend
    6 month trend

    Additional statistics are available via IRStats2.

    Archive Staff Only (login required)

    Edit/View Item Edit/View Item