MURAL - Maynooth University Research Archive Library

    Self-organization for images from a moving camera

    Cao, Yanpeng and McDonald, John (2009) Self-organization for images from a moving camera. Image Analysis for Multimedia Interactive Services, 2009. WIAMIS '09. 10th Workshop on . ISBN: 978-1-4244-3609-5. pp. 177-180.

    [img] Download (556kB)

    Share your research

    Twitter Facebook LinkedIn GooglePlus Email more...

    Add this article to your Mendeley library


    Given a set of unsorted views captured in a wide area, an effective solution is proposed for image self-organization. The method starts with an initialization step where a small number of key frame pairs are selected to set up a global reference. Given a query image we automatically relate it to the existing key frames based on their pair-wise similarity evaluation. Four major enhancements are made in this step to achieve better performance. Firstly, a recently developed technique, SURF, is applied for robust feature detection. Secondly, an efficient coarse-to-fine matching strategy is implemented. Thirdly, an improved global representation is defined over each image for accurate and fast similarity evaluation. Finally, the method is constantly updated by adding more query images. Experiments were carried out to evaluate the performances of image self-organization by using a large number of images captured from our university's campus

    Item Type: Article
    Additional Information: Research presented in this paper was funded by a Strategic Research Cluster grant (07/SRC/I1168) by Science Foundation Ireland under the National Development
    Keywords: feature extraction; image matching; Self-organization; moving camera;
    Academic Unit: Faculty of Science and Engineering > Computer Science
    Item ID: 2329
    Identification Number:
    Depositing User: Dr Yanpeng Cao
    Date Deposited: 11 Jan 2011 17:05
    Journal or Publication Title: Image Analysis for Multimedia Interactive Services, 2009. WIAMIS '09. 10th Workshop on . ISBN: 978-1-4244-3609-5
    Publisher: IEEE
    Refereed: Yes
    Funders: Science Foundation Ireland
    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)

    View Item Item control page


    Downloads per month over past year

    Origin of downloads