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 language | English |
|---|---|
| Pages (from-to) | 1379-1401 |
| Number of pages | 23 |
| Journal | International Journal of Pattern Recognition and Artificial Intelligence |
| Volume | 22 |
| Issue number | 7 |
| DOIs | |
| State | Published - Nov 2008 |
| Externally published | Yes |
Keywords
- Camera calibration
- Computer vision
- Concentric circles
- Geometric constraint
- Planar pattern
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