A new linear algorithm for calibrating central catadioptric cameras

  • Authors:

  • Fuchao Wu;Fuqing Duan;Zhanyi Hu;Yihong Wu

  • Affiliations:

  • National Laboratory of Pattern Recognition, Institute of Automation Chinese Academy of Sciences, P.O. Box 2728, Beijing 100080, PR China;National Laboratory of Pattern Recognition, Institute of Automation Chinese Academy of Sciences, P.O. Box 2728, Beijing 100080, PR China and College of Information Science and Technology, Beijing ...;National Laboratory of Pattern Recognition, Institute of Automation Chinese Academy of Sciences, P.O. Box 2728, Beijing 100080, PR China;National Laboratory of Pattern Recognition, Institute of Automation Chinese Academy of Sciences, P.O. Box 2728, Beijing 100080, PR China

  • Venue:
  • Pattern Recognition
  • Year:
  • 2008

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Abstract

In this paper, a novel linear calibration algorithm based on lines is presented for central catadioptric cameras. We firstly derive the relationship between the projection on the viewing sphere of a space point and its catadioptric image. And then by the relationship we establish a group of linear constraints on the catadioptric parameters from the catadioptric projections of spatial lines. By using these linear constraints, any central catadioptric camera can be fully calibrated from a single view of three or more lines without prior knowledge on the camera. Extensive experiments show this algorithm can improve the calibration's robustness.