Adopting an unconstrained ray model in light-field cameras for 3D shape reconstruction
Bergamasco F, Albarelli A, Cosmo L, Torsello A, Rodolà E, Cremers D (2015)
Publication Type: Conference contribution
Publication year: 2015
Journal
Publisher: IEEE Computer Society
Book Volume: 07-12-June-2015
Pages Range: 3003-3012
Conference Proceedings Title: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Event location: Boston, MA, USA
ISBN: 9781467369640
DOI: 10.1109/CVPR.2015.7298919
Abstract
Given the raising interest in light-field technology and the increasing availability of professional devices, a feasible and accurate calibration method is paramount to unleash practical applications. In this paper we propose to embrace a fully non-parametric model for the imaging and we show that it can be properly calibrated with little effort using a dense active target. This process produces a dense set of independent rays that cannot be directly used to produce a conventional image. However, they are an ideal tool for 3D reconstruction tasks, since they are highly redundant, very accurate and they cover a wide range of different baselines. The feasibility and convenience of the process and the accuracy of the obtained calibration are comprehensively evaluated through several experiments.
Involved external institutions
Italy (IT)
Germany (DE)How to cite
APA:
Bergamasco, F., Albarelli, A., Cosmo, L., Torsello, A., Rodolà, E., & Cremers, D. (2015). Adopting an unconstrained ray model in light-field cameras for 3D shape reconstruction. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (pp. 3003-3012). Boston, MA, USA: IEEE Computer Society.
MLA:
Bergamasco, Filippo, et al. "Adopting an unconstrained ray model in light-field cameras for 3D shape reconstruction." Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2015, Boston, MA, USA IEEE Computer Society, 2015. 3003-3012.
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