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.
|Data di pubblicazione:||2015|
|Titolo:||Adopting an Unconstrained Ray Model in Light-field Cameras for 3D Shape Reconstruction|
|Titolo del libro:||The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)|
|Digital Object Identifier (DOI):||http://dx.doi.org/10.1109/CVPR.2015.7298919|
|Appare nelle tipologie:||4.1 Articolo in Atti di convegno|