• DocumentCode
    2083455
  • Title

    Hierarchical Procrustes Matching for Shape Retrieval

  • Author

    McNeill, Graham ; Vijayakumar, Sethu

  • Author_Institution
    University of Edinburgh, Edinburgh, UK
  • Volume
    1
  • fYear
    2006
  • fDate
    17-22 June 2006
  • Firstpage
    885
  • Lastpage
    894
  • Abstract
    We introduce Hierarchical Procrustes Matching (HPM), a segment-based shape matching algorithm which avoids problems associated with purely global or local methods and performs well on benchmark shape retrieval tests. The simplicity of the shape representation leads to a powerful matching algorithm which incorporates intuitive ideas about the perceptual nature of shape while being computationally efficient. This includes the ability to match similar parts even when they occur at different scales or positions. While comparison of multiscale shape representations is typically based on specific features, HPM avoids the need to extract such features. The hierarchical structure of the algorithm captures the appealing notion that matching should proceed in a global to local direction.
  • Keywords
    Benchmark testing; Contracts; Feature extraction; Frequency; Image segmentation; Informatics; Least squares approximation; Object recognition; Performance evaluation; Shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 2006 IEEE Computer Society Conference on
  • ISSN
    1063-6919
  • Print_ISBN
    0-7695-2597-0
  • Type

    conf

  • DOI
    10.1109/CVPR.2006.133
  • Filename
    1640846