Accurate and robust calibration methods for plenoptic cameras are necessary due to their increasing popularity as depth estimation devices. Existing calibration methods can be placed in two categories: microlens based and sub-aperture image based. The low pixel-count in the microlenses is a limitation for microlens-based methods. On the other hand, calibrating each sub-aperture image independently leads to misalignments, resulting in poor depth estimates due to the high sensitivity on the baseline and alignment. In this paper we propose a hybrid calibration approach which can calibrate sub-aperture images while taking both main lens and microlens geometric constraints into account. Our model is simple yet effective and offers a high degree of interpretability on the intrinsic/extrinsic parameters of the virtual sub-aperture cameras. The experimental evaluation against existing methods shows that our proposed method leads to more accurate measurements in 3D.
Darwish, W , Bolsee, Q & Munteanu, A 2019, Plenoptic Camera Calibration Based on Sub-Aperture Images . in International Conference on Image Processing, ICIP. 2019 edn, IEEE, pp. 3527-3531, IEEE International Conference on Image Processing 2019, Taipei, Taiwan, Province of China, 22/09/19 .
Darwish, W. , Bolsee, Q. , & Munteanu, A. (2019). Plenoptic Camera Calibration Based on Sub-Aperture Images . In International Conference on Image Processing, ICIP (2019 ed., pp. 3527-3531). IEEE.
@inproceedings{6701a096f1124668bf0421b3a29039ce,
title = " Plenoptic Camera Calibration Based on Sub-Aperture Images " ,
abstract = " Accurate and robust calibration methods for plenoptic cameras are necessary due to their increasing popularity as depth estimation devices. Existing calibration methods can be placed in two categories: microlens based and sub-aperture image based. The low pixel-count in the microlenses is a limitation for microlens-based methods. On the other hand, calibrating each sub-aperture image independently leads to misalignments, resulting in poor depth estimates due to the high sensitivity on the baseline and alignment. In this paper we propose a hybrid calibration approach which can calibrate sub-aperture images while taking both main lens and microlens geometric constraints into account. Our model is simple yet effective and offers a high degree of interpretability on the intrinsic/extrinsic parameters of the virtual sub-aperture cameras. The experimental evaluation against existing methods shows that our proposed method leads to more accurate measurements in 3D. " ,
keywords = " calibration, camera arrays, light fields " ,
author = " Walid Darwish and Quentin Bolsee and Adrian Munteanu " ,
year = " 2019 " ,
month = sep,
day = " 1 " ,
doi = " 10.1109/ICIP.2019.8803473 " ,
language = " English " ,
isbn = " 978-1-5386-6250-2 " ,
pages = " 35273531 " ,
booktitle = " International Conference on Image Processing, ICIP " ,
publisher = " IEEE " ,
edition = " 2019 " ,
note = " IEEE International Conference on Image Processing 2019, ICIP Conference date: 22-09-2019 Through 25-09-2019 " ,
}