Single view based pose estimation from circle or parallel lines
Pattern Recognition Letters
Camera calibration based on arbitrary parallelograms
Computer Vision and Image Understanding
Using Coplanar Circles to Perform Calibration-Free Planar Scene Analysis under a Perspective View
ISVC '09 Proceedings of the 5th International Symposium on Advances in Visual Computing: Part I
Camera calibration using principal-axes aligned conics
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part I
Pose estimation from circle or parallel lines in a single image
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part II
Euclidean structure from confocal conics: Theory and application to camera calibration
Computer Vision and Image Understanding
Plane metric rectification from a single view of multiple coplanar circles
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Vision Based Position Control for MAVs Using One Single Circular Landmark
Journal of Intelligent and Robotic Systems
| Hi-index | 0.00 |
The geometry of plane-based calibration methods is well understood, but some user interaction is often needed in practice for feature detection. This paper presents a fully automatic calibration system that uses patterns of pairs of concentric circles. The key observation is to introduce a geometric method that constructs a sequence of points strictly convergent to the image of the circle center from an arbitrary point. The method automatically detects the points of the pattern features by the construction method, and identify them by invariants. It then takes advantage of homological constraints to consistently and optimally estimate the features in the image. The experiments demonstrate the robustness and the accuracy of the new method.