Abstract
In this paper we present our global approach to accurate 3D reconstruction with a calibrated multi-camera system. In particular, we illustrate a simple and effective adaptive technique for the self-calibration of CCD-based multi-camera acquisition systems. We also propose a general and robust approach to the problem of close-range partial 3D reconstruction of objects from stereo-correspondences. Finally, we introduce a method for performing an accurate patchworking of the partial reconstructions, based on 3D feature matching.
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© 1998 Springer-Verlag Berlin Heidelberg
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Pedersini, F., Sarti, A., Tubaro, S. (1998). Multi-Camera Acquisitions for High-Accuracy 3D Reconstruction. In: Koch, R., Van Gool, L. (eds) 3D Structure from Multiple Images of Large-Scale Environments. SMILE 1998. Lecture Notes in Computer Science, vol 1506. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-49437-5_9
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DOI: https://doi.org/10.1007/3-540-49437-5_9
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