• DocumentCode
    638987
  • Title

    MFSC: A new shape descriptor with robustness to deformations

  • Author

    Lunshao Chai ; Zhen Qin ; Honggang Zhang ; Jun Guo ; Bhanu, Bir

  • Author_Institution
    Beijing Univ. of Posts & Telecomuunictions, Beijing, China
  • fYear
    2013
  • fDate
    15-19 July 2013
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In this paper, we propose a new shape descriptor, Multi-scale Fuzzy Shape Context (MFSC), highlighted by its robustness to deformations. A novel multi-scale fuzzy model is presented and applied on the widely used shape descriptor Shape Context to generate MFSC. The multi-scale fuzzy model can handle shape deformations of different scales, which makes MFSC robust to various deformations. Experiments on an articulated shape dataset demonstrate performance improvement gained by MFSC over existing methods. We also applied MFSC on a real-world application, Content-Based Product Image Retrieval, and the experimental results further validate its effectiveness. We make our code and experimental data publicly available for future reference.
  • Keywords
    feature extraction; fuzzy set theory; image retrieval; MFSC shape descriptor; articulated shape dataset; content-based product image retrieval; deformation robustness; multiscale fuzzy shape context descriptor; Context; Deformable models; Histograms; Image retrieval; Robustness; Shape; Multi-scale Fuzzy Model; Multi-scale Fuzzy Shape Context; Shape Context;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia and Expo Workshops (ICMEW), 2013 IEEE International Conference on
  • Conference_Location
    San Jose, CA
  • Type

    conf

  • DOI
    10.1109/ICMEW.2013.6618256
  • Filename
    6618256