Camera Calibration Using Symmetric Objects

  • Authors:
  • Xiaochun Cao;H. Foroosh

  • Affiliations:
  • Central Florida Univ.;-

  • Venue:
  • IEEE Transactions on Image Processing
  • Year:
  • 2006

Quantified Score

Hi-index 0.01

Visualization

Abstract

This paper proposes a novel method for camera calibration using images of a mirror symmetric object. Assuming unit aspect ratio and zero skew, we show that interimage homographies can be expressed as a function of only the principal point. By minimizing symmetric transfer errors, we thus obtain an accurate solution for the camera parameters. We also extend our approach to a calibration technique using images of a 1-D object with a fixed pivoting point. Unlike existing methods that rely on orthogonality or pole-polar relationship, our approach utilizes new interimage constraints and does not require knowledge of the 3-D coordinates of feature points. To demonstrate the effectiveness of the approach, we present results for both synthetic and real images