MURAL - Maynooth University Research Archive Library



    A Convexity Measure for Open and Closed Contours


    Corcoran, Padraig, Mooney, Peter and Winstanley, Adam C. (2011) A Convexity Measure for Open and Closed Contours. In: 22nd British Machine Vision Conference (BMVC 2011), 29 August - 2 September 2011, Dundee, Scotland.

    [thumbnail of AW_Convexity_Measure.pdf]
    Preview
    Text
    AW_Convexity_Measure.pdf

    Download (386kB) | Preview

    Abstract

    Convexity represents a fundamental descriptor of object shape. This paper presents a new convexity measure for both open and closed simple contours. Given such a contour this measure extracts two corresponding open convex hulls. The shape similarity between these two hulls and the original contour is then computed and normalized to give a measure of convexity. The time complexity of the proposed technique is O(n). The authors believe this technique represents the first measure of convexity which uses shape similarity and which can be applied to both open and closed contours. The proposed technique is shown to provide similar or greater performance relative to two other state of the art techniques.
    Item Type: Conference or Workshop Item (Paper)
    Additional Information: Research presented in this paper was part-funded by a Strategic Research Cluster grant (07/SRC/I1168) from Science Foundation Ireland under the National Development Plan.
    Keywords: Convexity Measure; Open and Closed Contours;
    Academic Unit: Faculty of Science and Engineering > Computer Science
    Item ID: 4934
    Depositing User: Dr. Adam Winstanley
    Date Deposited: 21 May 2014 14:15
    Refereed: Yes
    Funders: Science Foundation Ireland
    URI: https://mural.maynoothuniversity.ie/id/eprint/4934
    Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

    Repository Staff Only (login required)

    Item control page
    Item control page

    Downloads

    Downloads per month over past year

    Origin of downloads