• DocumentCode
    2347248
  • Title

    An open problem in matching sets of 3D lines

  • Author

    Kamgar-Parsi, B. ; Kamgar-Parsi, B.

  • Author_Institution
    Adv. IT Branch, Naval Res. Lab., Washington, DC, USA
  • Volume
    1
  • fYear
    2001
  • fDate
    2001
  • Abstract
    Methods for matching sets of 3D lines depend on whether line lengths are finite or infinite. In terms of line lengths, three basic cases arise in matching sets of lines: (1) finite to finite, (2) finite to infinite, and (3) infinite to infinite. For cases 1 and 2, which have not been treated in the literature, we present convergent iterative algorithms that (almost) always find the best match. For case 3, O.D. Faugeras and M. Hebert (FH) (1986) have proposed a popular iterative method that cannot be guaranteed to converge. We present an alternative approach that does converge. However, we also show that neither the FH solution, nor our solution is invariant with respect to coordinate transforms, which renders any best match meaningless. Thus, a satisfactory solution to case 3 does not yet exist. We discuss the underlying problem, which is the representation of infinite lines, and suggest alternatives that may lead to an invariant solution.
  • Keywords
    computer vision; feature extraction; iterative methods; computer vision; convergent iterative algorithms; coordinate transforms; geometric features matching; line lengths; sets of 3D lines matching; Application software; Computer vision; Government; Image edge detection; Image segmentation; Iterative algorithms; Iterative methods; Laboratories; Layout; Motion estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 2001. CVPR 2001. Proceedings of the 2001 IEEE Computer Society Conference on
  • ISSN
    1063-6919
  • Print_ISBN
    0-7695-1272-0
  • Type

    conf

  • DOI
    10.1109/CVPR.2001.990536
  • Filename
    990536