Abstract
This paper describes a method for autocalibrating a stereo rig. A planar object performing general and unknown motions is observed by the stereo rig and, based on point correspondences only, the autocalibration of the stereo rig is computed. A stratified approach is used and the autocalibration is computed by estimating first the epipolar geometry of the rig, then the plane at infinity Π∞ (affine calibration) and finally the absolute conic Ω∞ (Euclidean calibration). We show that the affine and Euclidean calibrations involve quadratic constraints and we describe an algorithm to solve them based on a conic intersection technique. Experiments with both synthetic and real data are used to evaluate the performance of the method.
Cite
CITATION STYLE
Demirdjian, D., Zisserman, A., & Horaud, R. (2000). Stereo autocalibration from one plane. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1843, pp. 625–639). Springer Verlag. https://doi.org/10.1007/3-540-45053-x_40
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