Accurate Camera Calibration using Iterative Refinement of Control Points

Ankur Datta, Junsik Kim, and Takeo Kanade
Workshop on Visual Surveillance (VS), 2009 (held in conjunction with ICCV)., October, 2009.


Download
  • Adobe portable document format (pdf) (5MB)
Copyright notice: This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder.

Abstract
We describe a novel camera calibration algorithm for square, circle, and ring planar calibration patterns. An iterative refinement approach is proposed that utilizes the parameters obtained from traditional calibration algorithms as initialization to perform clarification and deprojection of calibration images to a canonical fronto-parallel plane. This canonical plane is then used to localize the calibration pattern control points and recompute the camera parameters in an iterative refinement until convergence. Clarifying and de-projecting the calibration pattern to the canonical plane increases the accuracy of control point localization and consequently of camera calibration. We have conducted an extensive set of experiments with real and synthetic images for the square, circle and ring pattern, and the pixel projection errors obtained by our method are about 50% lower than those of the OpenCV Camera Calibration Toolbox. Increased accuracy of camera calibration directly leads to improvements in other applications; we demonstrate recovery of fine object structure for visual hull reconstruction, and recovery of precise epipolar geometry for stereo camera calibration.

Notes

Text Reference
Ankur Datta, Junsik Kim, and Takeo Kanade, "Accurate Camera Calibration using Iterative Refinement of Control Points," Workshop on Visual Surveillance (VS), 2009 (held in conjunction with ICCV)., October, 2009.

BibTeX Reference
@inproceedings{Datta_2009_6512,
   author = "Ankur Datta and Junsik Kim and Takeo Kanade",
   title = "Accurate Camera Calibration using Iterative Refinement of Control Points",
   booktitle = "Workshop on Visual Surveillance (VS), 2009 (held in conjunction with ICCV).",
   month = "October",
   year = "2009",
}