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. https://doi.org/10.1109/ICIP.2019.8803473
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. https://doi.org/10.1109/ICIP.2019.8803473
@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 = "3527--3531",
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",
}