Three-dimensional computer vision: a geometric viewpoint
Three-dimensional computer vision: a geometric viewpoint
Estimation of Relative Camera Positions for Uncalibrated Cameras
ECCV '92 Proceedings of the Second European Conference on Computer Vision
Camera Self-Calibration: Theory and Experiments
ECCV '92 Proceedings of the Second European Conference on Computer Vision
Euclidean Reconstruction from Uncalibrated Views
Proceedings of the Second Joint European - US Workshop on Applications of Invariance in Computer Vision
A Stratified Approach to Metric Self-Calibration
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Robust Recovery of Camera Rotation from Three Frames
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
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This paper presents a self-calibration and pose estimation method that uses two cameras which only differ by focal length. The estimation of the rotation and focal lengths is independent of the translation recovery.Unlike most methods, we do not initialize our recovery with the projective camera. Instead we estimate the ego-motion and calibration from 3 homographies. These homographies can be easily obtained from a fundamental matrix or a trifocal tensor.