• DocumentCode
    3208678
  • Title

    An invariant, closed-form solution for matching sets of 3D lines

  • Author

    Kamgar-Parsi, Bahzad ; Kamgar-Parsi, Behrooz

  • Author_Institution
    Office of Naval Res., Arlington, VA, USA
  • Volume
    2
  • fYear
    2004
  • fDate
    27 June-2 July 2004
  • Abstract
    Existing algorithms for finding the best match between two sets of 3D lines are not completely satisfactory in the sense that they either yield approximate solutions, or are iterative which means they may not converge to the globally optimal solution. An even more serious shortcoming of the existing algorithms is that they are all non-invariant with respect to the translation of the coordinate system. Thus, any best match found becomes rather meaningless. In this paper, we discuss the source of this non-invariance and present a new algorithm that is invariant to coordinate transforms. Moreover, the algorithm is closed-form, which implies that it always yields the best global match.
  • Keywords
    computational geometry; image matching; multidimensional signal processing; regression analysis; 3D lines; closed-form solution; geometric feature; matching sets; regression analysis; Application software; Closed-form solution; Computer vision; Face detection; Face recognition; Image converters; Image segmentation; Iterative algorithms; Layout; Motion estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 2004. CVPR 2004. Proceedings of the 2004 IEEE Computer Society Conference on
  • ISSN
    1063-6919
  • Print_ISBN
    0-7695-2158-4
  • Type

    conf

  • DOI
    10.1109/CVPR.2004.1315195
  • Filename
    1315195