Improved Sensors Based on <italic>Scheimpflug</italic> Conditions and Multi-Focal Constraints
Binocular vision sensor composed of two traditional camerasis widely utilized in many fields. However, there are still twodeficiencies, i.e. limited measurement area and weakconstraint for feature matching. In this paper, we firstintroduced measurement principle of the Scheimpflug camera and its cal...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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IEEE
2020-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9181525/ |
| _version_ | 1818856953359630336 |
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| author | Mingwei Shao Pan Wang Jianhua Wang |
| author_facet | Mingwei Shao Pan Wang Jianhua Wang |
| author_sort | Mingwei Shao |
| collection | DOAJ |
| description | Binocular vision sensor composed of two traditional camerasis widely utilized in many fields. However, there are still twodeficiencies, i.e. limited measurement area and weakconstraint for feature matching. In this paper, we firstintroduced measurement principle of the Scheimpflug camera and its calibrationmethod. Then an improved binocular vision sensor composed of two Scheimpflug cameras is constructed. Measurement area is maximized.Then, a trinocular vision sensor as an example of the multi-viewstereo vision sensor is analyzed and multi-focal constraint basedmeasurement model is given. Feature matching according to theconstraint of a trifocal tensor is strict, which is verified by relatedexperiments. Calibration procedures for the camera and improved visionsensor are detailed. Experiment results show that measurement area ofour improved vision sensor increases up to 86.2% (when tilted angleis 4°). Root mean square error of distance is0.107<sup>0</sup>/<sub>00</sub> with regard to the measurementarea. |
| first_indexed | 2024-12-19T08:32:41Z |
| format | Article |
| id | doaj.art-62509d179fe344ed88380ef45c8edf55 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-19T08:32:41Z |
| publishDate | 2020-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-62509d179fe344ed88380ef45c8edf552022-12-21T20:29:08ZengIEEEIEEE Access2169-35362020-01-01816127616128710.1109/ACCESS.2020.30207319181525Improved Sensors Based on <italic>Scheimpflug</italic> Conditions and Multi-Focal ConstraintsMingwei Shao0https://orcid.org/0000-0003-1630-8985Pan Wang1Jianhua Wang2School of Information and Control Engineering, Qingdao University of Technology, Qingdao, ChinaSchool of Information and Control Engineering, Qingdao University of Technology, Qingdao, ChinaSchool of Information and Control Engineering, Qingdao University of Technology, Qingdao, ChinaBinocular vision sensor composed of two traditional camerasis widely utilized in many fields. However, there are still twodeficiencies, i.e. limited measurement area and weakconstraint for feature matching. In this paper, we firstintroduced measurement principle of the Scheimpflug camera and its calibrationmethod. Then an improved binocular vision sensor composed of two Scheimpflug cameras is constructed. Measurement area is maximized.Then, a trinocular vision sensor as an example of the multi-viewstereo vision sensor is analyzed and multi-focal constraint basedmeasurement model is given. Feature matching according to theconstraint of a trifocal tensor is strict, which is verified by relatedexperiments. Calibration procedures for the camera and improved visionsensor are detailed. Experiment results show that measurement area ofour improved vision sensor increases up to 86.2% (when tilted angleis 4°). Root mean square error of distance is0.107<sup>0</sup>/<sub>00</sub> with regard to the measurementarea.https://ieeexplore.ieee.org/document/9181525/Sensor<italic xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">Scheimpflug</italic> conditionmulti-focal constraintmeasurement area |
| spellingShingle | Mingwei Shao Pan Wang Jianhua Wang Improved Sensors Based on <italic>Scheimpflug</italic> Conditions and Multi-Focal Constraints IEEE Access Sensor <italic xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">Scheimpflug</italic> condition multi-focal constraint measurement area |
| title | Improved Sensors Based on <italic>Scheimpflug</italic> Conditions and Multi-Focal Constraints |
| title_full | Improved Sensors Based on <italic>Scheimpflug</italic> Conditions and Multi-Focal Constraints |
| title_fullStr | Improved Sensors Based on <italic>Scheimpflug</italic> Conditions and Multi-Focal Constraints |
| title_full_unstemmed | Improved Sensors Based on <italic>Scheimpflug</italic> Conditions and Multi-Focal Constraints |
| title_short | Improved Sensors Based on <italic>Scheimpflug</italic> Conditions and Multi-Focal Constraints |
| title_sort | improved sensors based on italic scheimpflug italic conditions and multi focal constraints |
| topic | Sensor <italic xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">Scheimpflug</italic> condition multi-focal constraint measurement area |
| url | https://ieeexplore.ieee.org/document/9181525/ |
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