• DocumentCode
    808002
  • Title

    Eliminating false matches for the projective registration of free-form surfaces with small translational motions

  • Author

    Liu, Yonghuai

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Wales, Aberystwyth, UK
  • Volume
    35
  • Issue
    3
  • fYear
    2005
  • fDate
    6/1/2005 12:00:00 AM
  • Firstpage
    607
  • Lastpage
    624
  • Abstract
    In this paper, we make a detailed study of two rigid-motion constraints. The importance of these two constraints is twofold: first, they reveal the inherent relationship between the three-dimensional-two-dimensional (3-D-2-D) point correspondences and the motion parameters of interest; second, they can be used to measure the traditional ICP criterion established point match qualities based on which different point matches can be compared and relatively good point matches can be selected for motion-parameter update in the projective registration of free-form surfaces subject to small translational motions. The experimental results based on both synthetic data and real images have shown that the rigid motion constraints are powerful in evaluating the possible 3-D-2-D point matches established by the traditional ICP criterion, thus achieving encouraging projective registration results.
  • Keywords
    image matching; image registration; motion estimation; solid modelling; surface fitting; 3D-2D point correspondences; ICP criterion; colinearity; false match elimination; free-form surfaces; motion parameters; projective registration; real images; rigid pure translational motion; rigid-motion constraints; synthetic data; Cameras; Data mining; Focusing; Image recognition; Iterative closest point algorithm; Motion measurement; Parameter estimation; Path planning; Robot vision systems; Two dimensional displays; Colinearity; ICP; focus of expansion; free-form surface; projective registration; rigid motion constraint; rigid pure translational motion; three-dimensional–two-dimensional (3-D–2-D) point correspondence; Algorithms; Artificial Intelligence; Cluster Analysis; Computer Graphics; Image Enhancement; Image Interpretation, Computer-Assisted; Imaging, Three-Dimensional; Information Storage and Retrieval; Movement; Numerical Analysis, Computer-Assisted; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity; Signal Processing, Computer-Assisted; Subtraction Technique;
  • fLanguage
    English
  • Journal_Title
    Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1083-4419
  • Type

    jour

  • DOI
    10.1109/TSMCB.2005.843978
  • Filename
    1430845