• DocumentCode
    178745
  • Title

    New Geometric Interpretation and Analytic Solution for Quadrilateral Reconstruction

  • Author

    Joo-Haeng Lee

  • Author_Institution
    Convergence Technol. Res. Lab., ETRI, Daejeon, South Korea
  • fYear
    2014
  • fDate
    24-28 Aug. 2014
  • Firstpage
    4015
  • Lastpage
    4020
  • Abstract
    A new geometric framework, called generalized coupled line camera (GCLC), is proposed to derive an analytic solution to reconstruct an unknown scene quadrilateral and the relevant projective structure from a single or multiple image quadrilaterals. We extend the previous approach developed for rectangle to handle arbitrary scene quadrilaterals. First, we generalize a single line camera by removing the centering constraint that the principal axis should bisect a scene line. Then, we couple a pair of generalized line cameras to model a frustum with a quadrilateral base. Finally, we show that the scene quadrilateral and the center of projection can be analytically reconstructed from a single view when prior knowledge on the quadrilateral is available. A completely unknown quadrilateral can be reconstructed from four views through non-linear optimization. We also describe a improved method to handle an off-centered case by geometrically inferring a centered proxy quadrilateral, which accelerates a reconstruction process without relying on homography. The proposed method is easy to implement since each step is expressed as a simple analytic equation. We present the experimental results on real and synthetic examples.
  • Keywords
    geometry; image reconstruction; optimisation; generalized coupled line camera; geometric interpretation framework; nonlinear optimization; quadrilateral reconstruction; reconstruction process; scene quadrilateral; simple analytic equation; Cameras; Couplings; Equations; Image reconstruction; Mathematical model; Periodic structures; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition (ICPR), 2014 22nd International Conference on
  • Conference_Location
    Stockholm
  • ISSN
    1051-4651
  • Type

    conf

  • DOI
    10.1109/ICPR.2014.688
  • Filename
    6977401