Self-Calibration of Stationary Cameras
International Journal of Computer Vision
A Flexible New Technique for Camera Calibration
IEEE Transactions on Pattern Analysis and Machine Intelligence
Self-Calibration of Rotating and Zooming Cameras
International Journal of Computer Vision
Camera Self-Calibration: Theory and Experiments
ECCV '92 Proceedings of the Second European Conference on Computer Vision
Sensitivity of Calibration to Principal Point Position
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part II
Accurate internal camera calibration using rotation, with analysis of sources of error
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Camera calibration using spheres: A semi-definite programming approach
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Pan-tilt-zoom camera calibration and high-resolution mosaic generation
Computer Vision and Image Understanding - Special issue on omnidirectional vision and camera networks
An LMI Approach for Reliable PTZ Camera Self-Calibration
AVSS '06 Proceedings of the IEEE International Conference on Video and Signal Based Surveillance
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In this paper, we propose a very reliable and flexible method for self-calibrating rotating and zooming cameras - generally referred to as PTZ (Pan-Tilt-Zoom) cameras. The proposed method employs a Linear Matrix Inequality (LMI) resolution approach and allows extra tunable constraints on the intrinsic parameters to be taken into account during the process of estimating these parameters. Furthermore, the considered constraints are simultaneously enforced in all views rather than in a single reference view. The results of our experiments show that the proposed approach allows for significant improvement in terms of accuracy and robustness when compared against state of the art methods.