Proposed New AV-Type Test-Bed for Accurate and Reliable Fish-Eye Lens Camera Self-Calibration
The fish-eye lens camera has a wide field of view that makes it effective for various applications and sensor systems. However, it incurs strong geometric distortion in the image due to compressive recording of the outer part of the image. Such distortion must be interpreted accurately through a sel...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-04-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/21/8/2776 |
| _version_ | 1797537644474793984 |
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| author | Kang Hyeok Choi Changjae Kim |
| author_facet | Kang Hyeok Choi Changjae Kim |
| author_sort | Kang Hyeok Choi |
| collection | DOAJ |
| description | The fish-eye lens camera has a wide field of view that makes it effective for various applications and sensor systems. However, it incurs strong geometric distortion in the image due to compressive recording of the outer part of the image. Such distortion must be interpreted accurately through a self-calibration procedure. This paper proposes a new type of test-bed (the AV-type test-bed) that can effect a balanced distribution of image points and a low level of correlation between orientation parameters. The effectiveness of the proposed test-bed in the process of camera self-calibration was verified through the analysis of experimental results from both a simulation and real datasets. In the simulation experiments, the self-calibration procedures were performed using the proposed test-bed, four different projection models, and five different datasets. For all of the cases, the Root Mean Square residuals (RMS-residuals) of the experiments were lower than one-half pixel. The real experiments, meanwhile, were carried out using two different cameras and five different datasets. These results showed high levels of calibration accuracy (i.e., lower than the minimum value of RMS-residuals: 0.39 pixels). Based on the above analyses, we were able to verify the effectiveness of the proposed AV-type test-bed in the process of camera self-calibration. |
| first_indexed | 2024-03-10T12:19:21Z |
| format | Article |
| id | doaj.art-3f5f9a95b1f04bb5ab525dd272f79c72 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T12:19:21Z |
| publishDate | 2021-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-3f5f9a95b1f04bb5ab525dd272f79c722023-11-21T15:37:51ZengMDPI AGSensors1424-82202021-04-01218277610.3390/s21082776Proposed New AV-Type Test-Bed for Accurate and Reliable Fish-Eye Lens Camera Self-CalibrationKang Hyeok Choi0Changjae Kim1Korea Institute of Civil Engineering and Building Technology, 283 Goyangdae-Ro, Ilsanseo-Gu, Goyang-Si 10223, Gyeonggi-Do, KoreaDepartment of Civil and Environmental Engineering, Myongji University, 116 Myongji-Ro, Cheoin-Gu, Yongin 17058, Gyeonggi-Do, KoreaThe fish-eye lens camera has a wide field of view that makes it effective for various applications and sensor systems. However, it incurs strong geometric distortion in the image due to compressive recording of the outer part of the image. Such distortion must be interpreted accurately through a self-calibration procedure. This paper proposes a new type of test-bed (the AV-type test-bed) that can effect a balanced distribution of image points and a low level of correlation between orientation parameters. The effectiveness of the proposed test-bed in the process of camera self-calibration was verified through the analysis of experimental results from both a simulation and real datasets. In the simulation experiments, the self-calibration procedures were performed using the proposed test-bed, four different projection models, and five different datasets. For all of the cases, the Root Mean Square residuals (RMS-residuals) of the experiments were lower than one-half pixel. The real experiments, meanwhile, were carried out using two different cameras and five different datasets. These results showed high levels of calibration accuracy (i.e., lower than the minimum value of RMS-residuals: 0.39 pixels). Based on the above analyses, we were able to verify the effectiveness of the proposed AV-type test-bed in the process of camera self-calibration.https://www.mdpi.com/1424-8220/21/8/2776fish-eye lens cameraself-calibrationinterior orientation parameterscalibration test-bed |
| spellingShingle | Kang Hyeok Choi Changjae Kim Proposed New AV-Type Test-Bed for Accurate and Reliable Fish-Eye Lens Camera Self-Calibration Sensors fish-eye lens camera self-calibration interior orientation parameters calibration test-bed |
| title | Proposed New AV-Type Test-Bed for Accurate and Reliable Fish-Eye Lens Camera Self-Calibration |
| title_full | Proposed New AV-Type Test-Bed for Accurate and Reliable Fish-Eye Lens Camera Self-Calibration |
| title_fullStr | Proposed New AV-Type Test-Bed for Accurate and Reliable Fish-Eye Lens Camera Self-Calibration |
| title_full_unstemmed | Proposed New AV-Type Test-Bed for Accurate and Reliable Fish-Eye Lens Camera Self-Calibration |
| title_short | Proposed New AV-Type Test-Bed for Accurate and Reliable Fish-Eye Lens Camera Self-Calibration |
| title_sort | proposed new av type test bed for accurate and reliable fish eye lens camera self calibration |
| topic | fish-eye lens camera self-calibration interior orientation parameters calibration test-bed |
| url | https://www.mdpi.com/1424-8220/21/8/2776 |
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