Virtual Image Points Based Geometrical Parameters’ Calibration for Focused Light Field Camera
In the light field imaging, the geometrical parameters' calibration of the light field camera is the foundation of computational imaging techniques, such as the calibration of the light field data, digital refocusing, depth reconstruction, all-in-focus imaging, and so on. In this paper, we prop...
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doaj-2ef33cb66fe24ce58b3ba8b3b58eedf82021-03-29T21:34:43ZengIEEEIEEE Access2169-35362018-01-016713177132610.1109/ACCESS.2018.28819908539970Virtual Image Points Based Geometrical Parameters’ Calibration for Focused Light Field CameraYuan Wang0Jun Qiu1Chang Liu2https://orcid.org/0000-0002-5187-5507Di He3Xinkai Kang4Jian Li5Ligen Shi6Institute of Applied Mathematics, Beijing Information Science and Technology University, Beijing, ChinaInstitute of Applied Mathematics, Beijing Information Science and Technology University, Beijing, ChinaInstitute of Applied Mathematics, Beijing Information Science and Technology University, Beijing, ChinaInstitute of Applied Mathematics, Beijing Information Science and Technology University, Beijing, ChinaInstitute of Applied Mathematics, Beijing Information Science and Technology University, Beijing, ChinaInstitute of Applied Mathematics, Beijing Information Science and Technology University, Beijing, ChinaInstitute of Applied Mathematics, Beijing Information Science and Technology University, Beijing, ChinaIn the light field imaging, the geometrical parameters' calibration of the light field camera is the foundation of computational imaging techniques, such as the calibration of the light field data, digital refocusing, depth reconstruction, all-in-focus imaging, and so on. In this paper, we propose a virtual image points based geometrical parameters' calibration for focused light field camera. In the forward model, the mapping from the object points to the virtual image points with respect to the main lens as well as the mapping from the virtual image points to the image points on the detector with respect to the microlens array are established. While calibrating geometrical parameters, the inverse problem of calculating the virtual image points from the corner on the detector is established and the model of calculating the geometrical parameters of the focused light field camera is established. Levenberg-Marquardt algorithm is used to solve the geometrical parameters iteratively. We use the checkerboard for the calibration experiment and validate the calculation via the reprojection of the checkerboard corners.https://ieeexplore.ieee.org/document/8539970/Camera calibrationcomputational imaginglight field cameravirtual image point |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Yuan Wang Jun Qiu Chang Liu Di He Xinkai Kang Jian Li Ligen Shi |
spellingShingle |
Yuan Wang Jun Qiu Chang Liu Di He Xinkai Kang Jian Li Ligen Shi Virtual Image Points Based Geometrical Parameters’ Calibration for Focused Light Field Camera IEEE Access Camera calibration computational imaging light field camera virtual image point |
author_facet |
Yuan Wang Jun Qiu Chang Liu Di He Xinkai Kang Jian Li Ligen Shi |
author_sort |
Yuan Wang |
title |
Virtual Image Points Based Geometrical Parameters’ Calibration for Focused Light Field Camera |
title_short |
Virtual Image Points Based Geometrical Parameters’ Calibration for Focused Light Field Camera |
title_full |
Virtual Image Points Based Geometrical Parameters’ Calibration for Focused Light Field Camera |
title_fullStr |
Virtual Image Points Based Geometrical Parameters’ Calibration for Focused Light Field Camera |
title_full_unstemmed |
Virtual Image Points Based Geometrical Parameters’ Calibration for Focused Light Field Camera |
title_sort |
virtual image points based geometrical parameters’ calibration for focused light field camera |
publisher |
IEEE |
series |
IEEE Access |
issn |
2169-3536 |
publishDate |
2018-01-01 |
description |
In the light field imaging, the geometrical parameters' calibration of the light field camera is the foundation of computational imaging techniques, such as the calibration of the light field data, digital refocusing, depth reconstruction, all-in-focus imaging, and so on. In this paper, we propose a virtual image points based geometrical parameters' calibration for focused light field camera. In the forward model, the mapping from the object points to the virtual image points with respect to the main lens as well as the mapping from the virtual image points to the image points on the detector with respect to the microlens array are established. While calibrating geometrical parameters, the inverse problem of calculating the virtual image points from the corner on the detector is established and the model of calculating the geometrical parameters of the focused light field camera is established. Levenberg-Marquardt algorithm is used to solve the geometrical parameters iteratively. We use the checkerboard for the calibration experiment and validate the calculation via the reprojection of the checkerboard corners. |
topic |
Camera calibration computational imaging light field camera virtual image point |
url |
https://ieeexplore.ieee.org/document/8539970/ |
work_keys_str_mv |
AT yuanwang virtualimagepointsbasedgeometricalparametersx2019calibrationforfocusedlightfieldcamera AT junqiu virtualimagepointsbasedgeometricalparametersx2019calibrationforfocusedlightfieldcamera AT changliu virtualimagepointsbasedgeometricalparametersx2019calibrationforfocusedlightfieldcamera AT dihe virtualimagepointsbasedgeometricalparametersx2019calibrationforfocusedlightfieldcamera AT xinkaikang virtualimagepointsbasedgeometricalparametersx2019calibrationforfocusedlightfieldcamera AT jianli virtualimagepointsbasedgeometricalparametersx2019calibrationforfocusedlightfieldcamera AT ligenshi virtualimagepointsbasedgeometricalparametersx2019calibrationforfocusedlightfieldcamera |
_version_ |
1724192618364010496 |