Title :
Adopting an unconstrained ray model in light-field cameras for 3D shape reconstruction
Author :
Filippo Bergamasco;Andrea Albarelli;Luca Cosmo;Andrea Torsello;Emanuele Rodolà;Daniel Cremers
Author_Institution :
Dipartimento di Scienze Ambientali, Informatica e Statistica, Università
fDate :
6/1/2015 12:00:00 AM
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.
Keywords :
"Cameras","Calibration","Lenses","Microoptics","Encoding","Optimization"
Conference_Titel :
Computer Vision and Pattern Recognition (CVPR), 2015 IEEE Conference on
Electronic_ISBN :
1063-6919
DOI :
10.1109/CVPR.2015.7298919