Advances and Prospects of Vision-Based 3D Shape Measurement Methods
Vision-based three-dimensional (3D) shape measurement techniques have been widely applied over the past decades in numerous applications due to their characteristics of high precision, high efficiency and non-contact. Recently, great advances in computing devices and artificial intelligence have fac...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-02-01
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| Series: | Machines |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2075-1702/10/2/124 |
| _version_ | 1827654255825125376 |
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| author | Guofeng Zhang Shuming Yang Pengyu Hu Huiwen Deng |
| author_facet | Guofeng Zhang Shuming Yang Pengyu Hu Huiwen Deng |
| author_sort | Guofeng Zhang |
| collection | DOAJ |
| description | Vision-based three-dimensional (3D) shape measurement techniques have been widely applied over the past decades in numerous applications due to their characteristics of high precision, high efficiency and non-contact. Recently, great advances in computing devices and artificial intelligence have facilitated the development of vision-based measurement technology. This paper mainly focuses on state-of-the-art vision-based methods that can perform 3D shape measurement with high precision and high resolution. Specifically, the basic principles and typical techniques of triangulation-based measurement methods as well as their advantages and limitations are elaborated, and the learning-based techniques used for 3D vision measurement are enumerated. Finally, the advances of, and the prospects for, further improvement of vision-based 3D shape measurement techniques are proposed. |
| first_indexed | 2024-03-09T21:34:46Z |
| format | Article |
| id | doaj.art-e18db77741bb4b2eb95d7663cf0653f3 |
| institution | Directory Open Access Journal |
| issn | 2075-1702 |
| language | English |
| last_indexed | 2024-03-09T21:34:46Z |
| publishDate | 2022-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Machines |
| spelling | doaj.art-e18db77741bb4b2eb95d7663cf0653f32023-11-23T20:48:39ZengMDPI AGMachines2075-17022022-02-0110212410.3390/machines10020124Advances and Prospects of Vision-Based 3D Shape Measurement MethodsGuofeng Zhang0Shuming Yang1Pengyu Hu2Huiwen Deng3State Key Laboratory for Manufacturing Systems Engineering, Xi’an Jiaotong University, Xi’an 710049, ChinaState Key Laboratory for Manufacturing Systems Engineering, Xi’an Jiaotong University, Xi’an 710049, ChinaState Key Laboratory for Manufacturing Systems Engineering, Xi’an Jiaotong University, Xi’an 710049, ChinaState Key Laboratory for Manufacturing Systems Engineering, Xi’an Jiaotong University, Xi’an 710049, ChinaVision-based three-dimensional (3D) shape measurement techniques have been widely applied over the past decades in numerous applications due to their characteristics of high precision, high efficiency and non-contact. Recently, great advances in computing devices and artificial intelligence have facilitated the development of vision-based measurement technology. This paper mainly focuses on state-of-the-art vision-based methods that can perform 3D shape measurement with high precision and high resolution. Specifically, the basic principles and typical techniques of triangulation-based measurement methods as well as their advantages and limitations are elaborated, and the learning-based techniques used for 3D vision measurement are enumerated. Finally, the advances of, and the prospects for, further improvement of vision-based 3D shape measurement techniques are proposed.https://www.mdpi.com/2075-1702/10/2/124three-dimensional measurementstereo visiontriangulationlaser scanningstructured lightsystem calibration |
| spellingShingle | Guofeng Zhang Shuming Yang Pengyu Hu Huiwen Deng Advances and Prospects of Vision-Based 3D Shape Measurement Methods Machines three-dimensional measurement stereo vision triangulation laser scanning structured light system calibration |
| title | Advances and Prospects of Vision-Based 3D Shape Measurement Methods |
| title_full | Advances and Prospects of Vision-Based 3D Shape Measurement Methods |
| title_fullStr | Advances and Prospects of Vision-Based 3D Shape Measurement Methods |
| title_full_unstemmed | Advances and Prospects of Vision-Based 3D Shape Measurement Methods |
| title_short | Advances and Prospects of Vision-Based 3D Shape Measurement Methods |
| title_sort | advances and prospects of vision based 3d shape measurement methods |
| topic | three-dimensional measurement stereo vision triangulation laser scanning structured light system calibration |
| url | https://www.mdpi.com/2075-1702/10/2/124 |
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