Abstract
We show that there exist linear models for sensor pose estimation for multi-view panoramas defined by a symmetric or leveled pair of cylindric images. We assume that pairs of corresponding points have been detected already in those pairs of panoramas. For the first time a cost function is formulated whose minimization solves the pose estimation problem for these two general cases of multi-view panoramas, specified by unconstrained sensor parameter values but only minor constraints on sensor poses. (Note that due to the non-linearity of the panoramic projection geometry, the modeling of sensor pose estimation typically results into non-linear forms which incur numerical instability.)
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Huang, F., Klette, R., Xie, YH. (2008). Pose Estimation for Sensors Which Capture Cylindric Panoramas. In: Ruiz-Shulcloper, J., Kropatsch, W.G. (eds) Progress in Pattern Recognition, Image Analysis and Applications. CIARP 2008. Lecture Notes in Computer Science, vol 5197. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85920-8_72
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DOI: https://doi.org/10.1007/978-3-540-85920-8_72
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