Determining the Epipolar Geometry and its Uncertainty: A Review
International Journal of Computer Vision
Camera Self-Calibration: Theory and Experiments
ECCV '92 Proceedings of the Second European Conference on Computer Vision
A Four-step Camera Calibration Procedure with Implicit Image Correction
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Multiple View Geometry in Computer Vision
Multiple View Geometry in Computer Vision
Violating Rotating Camera Geometry: The Effect of Radial Distortion on Self-Calibration
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 1
From Projective to Euclidean Space Under any Practical Situation, a Criticism of Self-Calibration
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Parallel Tracking and Mapping for Small AR Workspaces
ISMAR '07 Proceedings of the 2007 6th IEEE and ACM International Symposium on Mixed and Augmented Reality
Focal length calibration from two views: method and analysis of singular cases
Computer Vision and Image Understanding
| Hi-index | 0.00 |
In this paper, a method is proposed that improves the focal length estimation in an augmented reality surgical guidance system for procedures involving a stereoscopic surgical microscope. Firstly, we show the sensitivity of a photogrammetric calibration method towards the detection of 2D markers in the projected calibration image and the markers' positional accuracy on the calibration object, both of them affecting the accuracy of the focal length estimate. Secondly, we propose a hybrid method using a photogrammetric method for pre-calibration and a number of self-calibration based methods to further optimise the focal length estimate. The results of the reported experiment, evaluating the proposed method, show a significant improvement in the calibration error of around 0.2 pixels as compared to calibrating each camera separately using a photogrammetric method only.