Calibration of a multi-camera rig from non-overlapping views

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Abstract

A simple, stable and generic approach for estimation of relative positions and orientations of multiple rigidly coupled cameras is presented in this paper. The algorithm does not impose constraints on the field of view of the cameras and works even in the extreme case when the sequences from the different cameras are totally disjoint (i.e. when no part of the scene is captured by more than one camera). The influence of the rig motion on the existence of a unique solution is investigated and degenerate rig motions are identified. Each camera captures an individual sequence which is afterwards processed by a structure and motion (SAM) algorithm resulting in positions and orientations for each camera. The unknown relative transformations between the rigidly coupled cameras are estimated utilizing the rigidity constraint of the rig. © Springer-Verlag Berlin Heidelberg 2007.

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Esquivel, S., Woelk, F., & Koch, R. (2007). Calibration of a multi-camera rig from non-overlapping views. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4713 LNCS, pp. 82–91). Springer Verlag. https://doi.org/10.1007/978-3-540-74936-3_9

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