Research on depth measurement calibration of light field camera based on Gaussian fitting
Abstract Optical field imaging technology does not require a complicated optical path layout and thus reduces hardware costs. Given that only one single exposure of a single camera can obtain three-dimensional information, this paper proposes an improved calibration method for depth measurement base...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2024-04-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-024-59479-5 |
| _version_ | 1827277223021772800 |
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| author | Miao Yang |
| author_facet | Miao Yang |
| author_sort | Miao Yang |
| collection | DOAJ |
| description | Abstract Optical field imaging technology does not require a complicated optical path layout and thus reduces hardware costs. Given that only one single exposure of a single camera can obtain three-dimensional information, this paper proposes an improved calibration method for depth measurement based on the theoretical model of optical field imaging. Specifically, the calibration time can be reduced since the Gaussian fitting can reduce the number of refocused images used to obtain the optimal refocusing coefficient calibration. Moreover, the proposed method achieves the same effect as the multiple refocusing calibration strategy but requires less image processing time during calibration. At the same time, this method's depth resolution is analyzed in detail. |
| first_indexed | 2024-04-24T07:16:05Z |
| format | Article |
| id | doaj.art-509fa3834a0b4fcebad9f4ba049c9ed5 |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-04-24T07:16:05Z |
| publishDate | 2024-04-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-509fa3834a0b4fcebad9f4ba049c9ed52024-04-21T11:16:22ZengNature PortfolioScientific Reports2045-23222024-04-0114111110.1038/s41598-024-59479-5Research on depth measurement calibration of light field camera based on Gaussian fittingMiao Yang0School of Energy and Power Engineering, University of Shanghai for Science and TechnologyAbstract Optical field imaging technology does not require a complicated optical path layout and thus reduces hardware costs. Given that only one single exposure of a single camera can obtain three-dimensional information, this paper proposes an improved calibration method for depth measurement based on the theoretical model of optical field imaging. Specifically, the calibration time can be reduced since the Gaussian fitting can reduce the number of refocused images used to obtain the optimal refocusing coefficient calibration. Moreover, the proposed method achieves the same effect as the multiple refocusing calibration strategy but requires less image processing time during calibration. At the same time, this method's depth resolution is analyzed in detail.https://doi.org/10.1038/s41598-024-59479-5Image renderingGaussian fittingDepth calibrationDepth resolution |
| spellingShingle | Miao Yang Research on depth measurement calibration of light field camera based on Gaussian fitting Scientific Reports Image rendering Gaussian fitting Depth calibration Depth resolution |
| title | Research on depth measurement calibration of light field camera based on Gaussian fitting |
| title_full | Research on depth measurement calibration of light field camera based on Gaussian fitting |
| title_fullStr | Research on depth measurement calibration of light field camera based on Gaussian fitting |
| title_full_unstemmed | Research on depth measurement calibration of light field camera based on Gaussian fitting |
| title_short | Research on depth measurement calibration of light field camera based on Gaussian fitting |
| title_sort | research on depth measurement calibration of light field camera based on gaussian fitting |
| topic | Image rendering Gaussian fitting Depth calibration Depth resolution |
| url | https://doi.org/10.1038/s41598-024-59479-5 |
| work_keys_str_mv | AT miaoyang researchondepthmeasurementcalibrationoflightfieldcamerabasedongaussianfitting |