• DocumentCode
    253519
  • Title

    Critical Configurations for Radial Distortion Self-Calibration

  • Author

    Changchang Wu

  • fYear
    2014
  • fDate
    23-28 June 2014
  • Firstpage
    25
  • Lastpage
    32
  • Abstract
    In this paper, we study the configurations of motion and structure that lead to inherent ambiguities in radial distortion estimation (or 3D reconstruction with unknown radial distortions). By analyzing the motion field of radially distorted images, we solve for critical surface pairs that can lead to the same motion field under different radial distortions and possibly different camera motions. We study the properties of the discovered critical configurations and discuss the practically important configurations that often occur in real applications. We demonstrate the impact of the radial distortion ambiguity on multi-view reconstruction with synthetic experiments and real experiments.
  • Keywords
    estimation theory; image motion analysis; image reconstruction; camera motion; critical surface pairs; motion configuration; multiview reconstruction; radial distortion estimation; radial distortion self-calibration; Cameras; Equations; Image reconstruction; Nonlinear distortion; Optical distortion; Surface reconstruction; Three-dimensional displays; Critical configuraiton; radial distortion self-calibration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition (CVPR), 2014 IEEE Conference on
  • Conference_Location
    Columbus, OH
  • Type

    conf

  • DOI
    10.1109/CVPR.2014.11
  • Filename
    6909405