Abstract
We propose in this work a practical method to compute the Euclidean (metric) 3D reconstruction of a scene, observed by a stereo pair of static, off-the-shelf, zooming cameras. The proposed method does not assume any form of explicit, pattern-based, calibration. The stereo system acquires a set of pairs of images, at different zooming levels, making it possible to obtain an affine calibration. The latter is obtained by taking advantage of the translation motion of the principal plane of each zooming camera. In particular, each pair of zoom images provides a pair of parallel planes that intersect at infinity. This makes it possible to estimate the principal point of each camera. Finally, a 3D metric reconstruction is calculated. Extensive experiments on both indoor and outdoor images have demonstrated the viability and accuracy of the proposed method.
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Boufama, B., Elamsy, T., Batouche, M. (2019). A Method for 3D-Metric Reconstruction Using Zoom Cameras. In: Alfaries, A., Mengash, H., Yasar, A., Shakshuki, E. (eds) Advances in Data Science, Cyber Security and IT Applications. ICC 2019. Communications in Computer and Information Science, vol 1098. Springer, Cham. https://doi.org/10.1007/978-3-030-36368-0_14
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DOI: https://doi.org/10.1007/978-3-030-36368-0_14
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