Using vanishing points for camera calibration
International Journal of Computer Vision
International Journal of Computer Vision - 1998 Marr Prize
A Flexible New Technique for Camera Calibration
IEEE Transactions on Pattern Analysis and Machine Intelligence
Object Recognition from Local Scale-Invariant Features
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Plane-based Calibration Algorithm for Multi-camera Systems via Factorization of Homography Matrices
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Towards Complete Generic Camera Calibration
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
ARTag, a Fiducial Marker System Using Digital Techniques
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
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In the present paper, we propose a multi camera calibration method that estimates both the intrinsic and extrinsic parameters of each camera. Assuming a reference plane has an infinitely repeated pattern, finding corresponding points between cameras is regarded as being equivalent to the estimation of discrete 2-D transformation on the observed reference plane. This means that the proposed method does not require any overlap of the observed region, and bundle adjustment can be performed in the sense of point-to-point correspondence. Our experiment demonstrates that the proposed method is practically admissible and sufficiently useful for building a simple shape measurement system using multiple cameras.