Fast Light Field Camera Calibration for Industrial Inspection

WANG Xingzheng; LIU Jiehao; WEI Guoyao; CHEN Songwei

doi:10.11999/JEIT211174

Volume 44 Issue 5

May 2022

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Article Navigation > Journal of Electronics & Information Technology > 2022 > 44(5): 1530-1538

WANG Xingzheng, LIU Jiehao, WEI Guoyao, CHEN Songwei. Fast Light Field Camera Calibration for Industrial Inspection[J]. Journal of Electronics & Information Technology, 2022, 44(5): 1530-1538. doi: 10.11999/JEIT211174

Citation:

WANG Xingzheng, LIU Jiehao, WEI Guoyao, CHEN Songwei. Fast Light Field Camera Calibration for Industrial Inspection[J]. Journal of Electronics & Information Technology, 2022, 44(5): 1530-1538. doi: 10.11999/JEIT211174

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Fast Light Field Camera Calibration for Industrial Inspection

doi: 10.11999/JEIT211174

1.
College of Mechatronics and Control Engineering, Shenzhen University, Shenzhen 518060, China
2.
Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China

Funds: The Natural Science Foundation of Guangdong Province (2020A1515011559, 2021A1515012287), The Shenzhen Science and Technology Research Fund (JCYJ20180306174120445, 20200810150441003, ZDYBH201900000002)

Received Date: 2021-10-26
Accepted Date: 2021-12-28
Rev Recd Date: 2021-12-21

Available Online: 2022-01-12

Publish Date: 2022-05-25

Abstract

Abstract

To solve the problem of the slow speed of the existing light field camera calibration algorithm, which makes it unable to quickly calibrate camera parameter changes in industrial inspection and reduce the efficiency of industrial inspection. A fast calibration algorithm for light field cameras is proposed. It selects high-quality, representative sparse views from the light field data based on image clarity, and establishes the sparse light field, which is used for calibration. Compared with the existing optimal approach, the proposed method not only increases the average calibration speed by more than 70%, reducing the average calibration time from 101.27 s to 30.99 s in the existing five datasets, but also maintains the calibration accuracy at the optimal level. The calibration error in the public dataset PlenCalCVPR2013DatasetA is only 0.0714 mm.
- Industrial inspection,
- Light field cameras,
- Fast calibration,
- Sparse light field

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References(19)

References

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