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.

Adopting an unconstrained ray model in light-field cameras for 3D shape reconstruction / Bergamasco, Filippo; Albarelli, Andrea; Cosmo, Luca; Torsello, Andrea; Rodolà, Emanuele; Cremers, Daniel. - 07-12:(2015), pp. 3003-3012. (Intervento presentato al convegno IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2015 tenutosi a Boston, USA) [10.1109/CVPR.2015.7298919].

Adopting an unconstrained ray model in light-field cameras for 3D shape reconstruction

Cosmo, Luca;Rodolà, Emanuele;
2015

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.
2015
IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2015
Calibration; Computer vision; Pattern recognition
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
Adopting an unconstrained ray model in light-field cameras for 3D shape reconstruction / Bergamasco, Filippo; Albarelli, Andrea; Cosmo, Luca; Torsello, Andrea; Rodolà, Emanuele; Cremers, Daniel. - 07-12:(2015), pp. 3003-3012. (Intervento presentato al convegno IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2015 tenutosi a Boston, USA) [10.1109/CVPR.2015.7298919].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1227820
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