International Journal of Computer Vision - Special issue on image-based servoing
IEEE Transactions on Pattern Analysis and Machine Intelligence
ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part II
Self-recalibration of a structured light system via plane-based homography
Pattern Recognition
Computers and Electronics in Agriculture
Homography-Based Tracking Control for Mobile Robots
ICIAR '08 Proceedings of the 5th international conference on Image Analysis and Recognition
External calibration of multi-camera system based on efficient pair-wise estimation
PSIVT'07 Proceedings of the 2nd Pacific Rim conference on Advances in image and video technology
Identification of a moving object's velocity with a fixed camera
Automatica (Journal of IFAC)
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Previous work shows that based on five non-coplanar correspondences of two uncalibrated cameras, 3D reconstruction can be achieved under projectile models, or based on four non-coplanar correspondences of two uncalibrated cameras, 3D reconstruction can be achieved under affine models, with three unknown parameters. In this paper, we show that based on four coplanar correspondences of two externally uncalibrated cameras, 3D reconstruction can be achieved in Euclidean space with only one unknown scaling parameter. Moreover, the unknown scale factor is the physical distance from the camera center to the plane formed by the four points in 3D space. If this distance is known a priori, then the 3D structure can be completely recovered. Both simulated and real data experimental results show that our reconstruction algorithm works reasonably robustly.