Analysis on Location Accuracy for the Binocular Stereo Vision System
Binocular stereo vision (BSV) system has been widely used in various fields, such as intelligent manufacture, smart robot, and so on. However, the location accuracy of the current BSV still cannot fully satisfy industry requirements due to lack of a parameters optimization BSV system. In this paper,...
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| Format: | Article |
| Language: | English |
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IEEE
2018-01-01
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| Series: | IEEE Photonics Journal |
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| Online Access: | https://ieeexplore.ieee.org/document/8226805/ |
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| author | Lu Yang Baoqing Wang Ronghui Zhang Haibo Zhou Rongben Wang |
| author_facet | Lu Yang Baoqing Wang Ronghui Zhang Haibo Zhou Rongben Wang |
| author_sort | Lu Yang |
| collection | DOAJ |
| description | Binocular stereo vision (BSV) system has been widely used in various fields, such as intelligent manufacture, smart robot, and so on. However, the location accuracy of the current BSV still cannot fully satisfy industry requirements due to lack of a parameters optimization BSV system. In this paper, a high accuracy BSV system is proposed. This is achieved through analyzing the seven parameters of the BSV system, which are classified into two groups: system structure parameters (SSPs) and camera calibration parameters (CCPs). For the SSPs, an improved analysis model is designed to expose the possible errors caused by three parameters. Furthermore, a new correlation model among them is also proposed to analyze the errors caused by their correlation. On the other hand, for the CCPs, the orthogonal experiment model is employed for selecting the optimal combination of the four calibration parameters. Meanwhile, the weight among the four parameters is also analyzed for reducing errors. Finally, the effectiveness of our proposed method is demonstrated by a large number of experiments. It gives a useful reference to the BSV system used in applied optics research and application fields. |
| format | Article |
| id | doaj-art-c34718e8faa749e1a2599df943db29fb |
| institution | Kabale University |
| issn | 1943-0655 |
| language | English |
| publishDate | 2018-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Photonics Journal |
| spelling | doaj-art-c34718e8faa749e1a2599df943db29fb2025-08-20T03:31:23ZengIEEEIEEE Photonics Journal1943-06552018-01-0110111610.1109/JPHOT.2017.27849588226805Analysis on Location Accuracy for the Binocular Stereo Vision SystemLu Yang0Baoqing Wang1Ronghui Zhang2https://orcid.org/0000-0001-6107-4044Haibo Zhou3Rongben Wang4Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control, School of Mechanical Engineering, Tianjin University of Technology, Tianjin, ChinaTianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control, School of Mechanical Engineering, Tianjin University of Technology, Tianjin, ChinaGuangdong Key Laboratory of Intelligent Transportation System, School of Engineering, Sun Yat-sen University, Guangzhou, ChinaTianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control, School of Mechanical Engineering, Tianjin University of Technology, Tianjin, ChinaCollege of Transportation, Jilin University, Changchun, ChinaBinocular stereo vision (BSV) system has been widely used in various fields, such as intelligent manufacture, smart robot, and so on. However, the location accuracy of the current BSV still cannot fully satisfy industry requirements due to lack of a parameters optimization BSV system. In this paper, a high accuracy BSV system is proposed. This is achieved through analyzing the seven parameters of the BSV system, which are classified into two groups: system structure parameters (SSPs) and camera calibration parameters (CCPs). For the SSPs, an improved analysis model is designed to expose the possible errors caused by three parameters. Furthermore, a new correlation model among them is also proposed to analyze the errors caused by their correlation. On the other hand, for the CCPs, the orthogonal experiment model is employed for selecting the optimal combination of the four calibration parameters. Meanwhile, the weight among the four parameters is also analyzed for reducing errors. Finally, the effectiveness of our proposed method is demonstrated by a large number of experiments. It gives a useful reference to the BSV system used in applied optics research and application fields.https://ieeexplore.ieee.org/document/8226805/Binocular stereo vision systemlocation accuracycamera calibration parametersystem structure parameterapplied optics |
| spellingShingle | Lu Yang Baoqing Wang Ronghui Zhang Haibo Zhou Rongben Wang Analysis on Location Accuracy for the Binocular Stereo Vision System IEEE Photonics Journal Binocular stereo vision system location accuracy camera calibration parameter system structure parameter applied optics |
| title | Analysis on Location Accuracy for the Binocular Stereo Vision System |
| title_full | Analysis on Location Accuracy for the Binocular Stereo Vision System |
| title_fullStr | Analysis on Location Accuracy for the Binocular Stereo Vision System |
| title_full_unstemmed | Analysis on Location Accuracy for the Binocular Stereo Vision System |
| title_short | Analysis on Location Accuracy for the Binocular Stereo Vision System |
| title_sort | analysis on location accuracy for the binocular stereo vision system |
| topic | Binocular stereo vision system location accuracy camera calibration parameter system structure parameter applied optics |
| url | https://ieeexplore.ieee.org/document/8226805/ |
| work_keys_str_mv | AT luyang analysisonlocationaccuracyforthebinocularstereovisionsystem AT baoqingwang analysisonlocationaccuracyforthebinocularstereovisionsystem AT ronghuizhang analysisonlocationaccuracyforthebinocularstereovisionsystem AT haibozhou analysisonlocationaccuracyforthebinocularstereovisionsystem AT rongbenwang analysisonlocationaccuracyforthebinocularstereovisionsystem |