• DocumentCode
    1338871
  • Title

    Topology Preserving Relaxation Labeling for Nonrigid Point Matching

  • Author

    Lee, Jong-Ha ; Won, Chang-Hee

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Temple Univ., Philadelphia, PA, USA
  • Volume
    33
  • Issue
    2
  • fYear
    2011
  • Firstpage
    427
  • Lastpage
    432
  • Abstract
    This paper presents a relaxation labeling process with the newly defined compatibility measure for solving a general nonrigid point matching problem. In the literature, there exists a point matching method using relaxation labeling; however, the compatibility coefficient takes a binary value of zero or one depending on whether a point and a neighbor have corresponding points. Our approach generalizes this relaxation labeling method. The compatibility coefficient takes n-discrete values which measure the correlation between point pairs. In order to improve the speed of the algorithm, we use a diagram of log distance and polar angle bins to compute the correlation. The extensive experiments show that the proposed topology preserving relaxation algorithm significantly improves the matching performance compared to other state-of-the-art point matching algorithms.
  • Keywords
    pattern matching; n-discrete values; nonrigid point matching problem; relaxation labeling method; relaxation labeling process; topology preserving relaxation algorithm; topology preserving relaxation labeling; Correlation; Iterative closest point algorithm; Labeling; Pattern matching; Probabilistic logic; Robustness; Shape; Point pattern matching; graph matching; nonrigid point matching.; registration; relaxation labeling;
  • fLanguage
    English
  • Journal_Title
    Pattern Analysis and Machine Intelligence, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0162-8828
  • Type

    jour

  • DOI
    10.1109/TPAMI.2010.179
  • Filename
    5590251