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Effective and automatic calibration using concentric circles

  • Liang Wang*
  • , Hongxun Yao
  • , H. D. Cheng
  • *Corresponding author for this work
  • School of Computer Science and Technology, Harbin Institute of Technology
  • Utah State University

Research output: Contribution to journalArticlepeer-review

Abstract

In this paper, we present an effective, flexible and completely automated camera calibration approach using only one pair of concentric circles. This approach utilizes the characteristics of concentric circles' tangent lines to locate the center of these circles, and finds the geometric constraints for calibration based on the orthogonality formed by a point on the circle and the two intersected points of the circle with the line through the center of the circle. The entire process requires no conic equation fitting and no metric measurement of the test pattern, which is very flexible to implement.

Original languageEnglish
Pages (from-to)1379-1401
Number of pages23
JournalInternational Journal of Pattern Recognition and Artificial Intelligence
Volume22
Issue number7
DOIs
StatePublished - Nov 2008
Externally publishedYes

Keywords

  • Camera calibration
  • Computer vision
  • Concentric circles
  • Geometric constraint
  • Planar pattern

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