Multi-Camera Hierarchical Calibration and Three-Dimensional Reconstruction Method for Bulk Material Transportation System
Three-dimensional information acquisition is crucial for the intelligent control and safe operation of bulk material transportation systems. However, existing visual measurement methods face challenges, including difficult stereo matching due to indistinct surface features, error accumulation in mul...
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| Format: | Article |
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MDPI AG
2025-03-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/25/7/2111 |
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| author | Chengcheng Hou Yongfei Kang Tiezhu Qiao |
| author_facet | Chengcheng Hou Yongfei Kang Tiezhu Qiao |
| author_sort | Chengcheng Hou |
| collection | DOAJ |
| description | Three-dimensional information acquisition is crucial for the intelligent control and safe operation of bulk material transportation systems. However, existing visual measurement methods face challenges, including difficult stereo matching due to indistinct surface features, error accumulation in multi-camera calibration, and unreliable depth information fusion. This paper proposes a three-dimensional reconstruction method based on multi-camera hierarchical calibration. The method establishes a measurement framework centered on a core camera, enhances material surface features through speckle structured light projection, and implements a ‘monocular-binocular-multi-camera association’ calibration strategy with global optimization to reduce error accumulation. Additionally, a depth information fusion algorithm based on multi-epipolar geometric constraints improves reconstruction completeness through multi-view information integration. Experimental results demonstrate excellent precision with absolute errors within 1 mm for features as small as 15 mm and relative errors between 0.02% and 2.54%. Compared with existing methods, the proposed approach shows advantages in point cloud completeness, reconstruction accuracy, and environmental adaptability, providing reliable technical support for intelligent monitoring of bulk material transportation systems. |
| format | Article |
| id | doaj-art-b9ff349c30db4bb6a3a4423d47c2a45c |
| institution | OA Journals |
| issn | 1424-8220 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj-art-b9ff349c30db4bb6a3a4423d47c2a45c2025-08-20T02:09:11ZengMDPI AGSensors1424-82202025-03-01257211110.3390/s25072111Multi-Camera Hierarchical Calibration and Three-Dimensional Reconstruction Method for Bulk Material Transportation SystemChengcheng Hou0Yongfei Kang1Tiezhu Qiao2College of Physics and Optoelectronics Engineering, Taiyuan University of Technology, Taiyuan 030024, ChinaChina Energy Baotou Energy Co., Ltd., Baotou 014000, ChinaCollege of Integrated Circuits, Taiyuan University of Technology, Taiyuan 030024, ChinaThree-dimensional information acquisition is crucial for the intelligent control and safe operation of bulk material transportation systems. However, existing visual measurement methods face challenges, including difficult stereo matching due to indistinct surface features, error accumulation in multi-camera calibration, and unreliable depth information fusion. This paper proposes a three-dimensional reconstruction method based on multi-camera hierarchical calibration. The method establishes a measurement framework centered on a core camera, enhances material surface features through speckle structured light projection, and implements a ‘monocular-binocular-multi-camera association’ calibration strategy with global optimization to reduce error accumulation. Additionally, a depth information fusion algorithm based on multi-epipolar geometric constraints improves reconstruction completeness through multi-view information integration. Experimental results demonstrate excellent precision with absolute errors within 1 mm for features as small as 15 mm and relative errors between 0.02% and 2.54%. Compared with existing methods, the proposed approach shows advantages in point cloud completeness, reconstruction accuracy, and environmental adaptability, providing reliable technical support for intelligent monitoring of bulk material transportation systems.https://www.mdpi.com/1424-8220/25/7/2111bulk materialmulti-camera systemhierarchical calibrationthree-dimensional reconstructionspeckle structured light |
| spellingShingle | Chengcheng Hou Yongfei Kang Tiezhu Qiao Multi-Camera Hierarchical Calibration and Three-Dimensional Reconstruction Method for Bulk Material Transportation System Sensors bulk material multi-camera system hierarchical calibration three-dimensional reconstruction speckle structured light |
| title | Multi-Camera Hierarchical Calibration and Three-Dimensional Reconstruction Method for Bulk Material Transportation System |
| title_full | Multi-Camera Hierarchical Calibration and Three-Dimensional Reconstruction Method for Bulk Material Transportation System |
| title_fullStr | Multi-Camera Hierarchical Calibration and Three-Dimensional Reconstruction Method for Bulk Material Transportation System |
| title_full_unstemmed | Multi-Camera Hierarchical Calibration and Three-Dimensional Reconstruction Method for Bulk Material Transportation System |
| title_short | Multi-Camera Hierarchical Calibration and Three-Dimensional Reconstruction Method for Bulk Material Transportation System |
| title_sort | multi camera hierarchical calibration and three dimensional reconstruction method for bulk material transportation system |
| topic | bulk material multi-camera system hierarchical calibration three-dimensional reconstruction speckle structured light |
| url | https://www.mdpi.com/1424-8220/25/7/2111 |
| work_keys_str_mv | AT chengchenghou multicamerahierarchicalcalibrationandthreedimensionalreconstructionmethodforbulkmaterialtransportationsystem AT yongfeikang multicamerahierarchicalcalibrationandthreedimensionalreconstructionmethodforbulkmaterialtransportationsystem AT tiezhuqiao multicamerahierarchicalcalibrationandthreedimensionalreconstructionmethodforbulkmaterialtransportationsystem |