An efficient geometric shape coding and representation approach to obtain both skeleton and contours

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    We present a novel approach to the coding and representation of shapes using intersections. Our algorithm combines contour and region based approaches. After exploring hitherto unvisited regions of the shape, we find salient features on the boundary in that region. Our method has a number of attractive features. First, it is efficient to compute, since only small yet salient regions are retrieved and analysed. Second, our algorithm generates a contour and region analysis simultaneously. Third, the algorithm is fully adaptive, so we do not need to set parameters, such as the number of features to be found, in advance. Finally, the algorithm can be implemented using familiar data structures including the max heap, circular linked lists and trees. We demonstrate the stability of the algorithm with a few practical image sets and developed an extended version which deals with enclosed shapes.

    Original languageEnglish
    Title of host publicationACM IMCOM 2016
    Subtitle of host publicationProceedings of the 10th International Conference on Ubiquitous Information Management and Communication
    PublisherAssociation for Computing Machinery, Inc
    ISBN (Electronic)9781450341424
    DOIs
    Publication statusPublished - 2016 Jan 4
    Event10th International Conference on Ubiquitous Information Management and Communication, IMCOM 2016 - Danang, Viet Nam
    Duration: 2016 Jan 42016 Jan 6

    Publication series

    NameACM IMCOM 2016: Proceedings of the 10th International Conference on Ubiquitous Information Management and Communication

    Other

    Other10th International Conference on Ubiquitous Information Management and Communication, IMCOM 2016
    Country/TerritoryViet Nam
    CityDanang
    Period16/1/416/1/6

    Bibliographical note

    Funding Information:
    This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT and Future Planning (NRF-2013R1A1A1012797). The author also thank to Professor S. J. Roberts and M. Brady of Oxford University for providing insightful comments and discussion for this paper.

    Keywords

    • Descriptor
    • Image search
    • Representation
    • Shape

    ASJC Scopus subject areas

    • Computer Networks and Communications
    • Information Systems

    Fingerprint

    Dive into the research topics of 'An efficient geometric shape coding and representation approach to obtain both skeleton and contours'. Together they form a unique fingerprint.

    Cite this