• DocumentCode
    419437
  • Title

    Uncalibrated two-view metrology

  • Author

    Liang, Bojian ; Chen, Zezhi ; Pears, Nick

  • Author_Institution
    Dept. of Comput. Sci., York Univ., UK
  • Volume
    1
  • fYear
    2004
  • fDate
    23-26 Aug. 2004
  • Firstpage
    96
  • Abstract
    A method of visual metrology from uncalibrated cameras is proposed in this paper, whereby a camera, which captures two images separated by a (near) pure translation, becomes a height measurement device. A novel projective construction allows accurate affine height measurements to be made relative to a reference plane, given that the reference plane planar homography between the two views can be accurately recovered. To this end a planar homography estimation method is presented, which is highly accurate and robust and based on a novel reciprocal-polar (RP) image rectification. The absolute height of any pixel or feature above the reference plane can be obtained from this affine height once the camera´s distance to the reference plane, or the height of a second measurement in the image is specified. Results from our data show a mean absolute error of 6.9 mm and with two outliers removed this falls to 1.5 mm.
  • Keywords
    cameras; height measurement; image motion analysis; image reconstruction; matrix algebra; height measurement device; image separation; matrix algebra; planar homography estimation method; reciprocal polar image rectification; reference plane planar homography; uncalibrated cameras; uncalibrated two-view metrology; visual metrology; Cameras; Computer science; Image sequences; Layout; Metrology; Motion estimation; Phase estimation; Pixel; Robustness; Yield estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on
  • ISSN
    1051-4651
  • Print_ISBN
    0-7695-2128-2
  • Type

    conf

  • DOI
    10.1109/ICPR.2004.1334016
  • Filename
    1334016