@inproceedings{01bc0ca31fa94ad5ba4eb6b10671b14c,
title = "Rectifying projective distortion in 4D light field",
abstract = "The accuracy of calibration will significantly affect the post processing capability of light field imaging. The geometry of the reconstructed scene is related to the parameters of light field closely, involving the accuracy of decoded rays and ambiguities from ray correspondences. Through exploring the ray correspondence, we derive a transformation matrix to describe the projective distortion on reconstructed scene in 4D light field. Based on our derivation, we simplify the light field camera geometry as a 4-parameter model and calibrate its intrinsic parameters, including a linear initialization and a nonlinear refine process. The proposed light field calibration can simply be implemented with a parallel bi-planar board. Experiments on both simulation and real scene data validate the performance of the calibration.",
keywords = "Calibration, Intrinsic parameter, Light field camera, Projective distortion",
author = "Chunping Zhang and Zhe Ji and Qing Wang",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 23rd IEEE International Conference on Image Processing, ICIP 2016 ; Conference date: 25-09-2016 Through 28-09-2016",
year = "2016",
month = aug,
day = "3",
doi = "10.1109/ICIP.2016.7532601",
language = "英语",
series = "Proceedings - International Conference on Image Processing, ICIP",
publisher = "IEEE Computer Society",
pages = "1464--1468",
booktitle = "2016 IEEE International Conference on Image Processing, ICIP 2016 - Proceedings",
}