A Flexible New Technique for Camera Calibration
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Factorization Based Algorithm for Multi-Image Projective Structure and Motion
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume II - Volume II
Scaled Euclidean 3D reconstruction based on externally uncalibrated cameras
ISCV '95 Proceedings of the International Symposium on Computer Vision
3D Live: Real Time Captured Content for Mixed Reality
ISMAR '02 Proceedings of the 1st International Symposium on Mixed and Augmented Reality
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
A convenient multicamera self-calibration for virtual environments
Presence: Teleoperators and Virtual Environments
Multi-view video based multiple objects segmentation using graph cut and spatiotemporal projections
Journal of Visual Communication and Image Representation
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In this paper, we present an external calibration technique for typical multi-camera system. The technique is very handy in practice using a simple planar pattern. Based on homography, an efficient pair-wise estimation method is proposed to recover the rigid rotation and translation between neighboring cameras. By registering all these partial calibrated structures, complete calibration of the multi-camera system is accomplished. Experiments with both simulated and real data show that accurate and stable calibration results can be achieved by the proposed method.