Scene Acquisition with Multiple 2D and 3D Optical Sensors: A PSO-Based Visibility Optimization
Designing an acquisition system for 2D or 3D information, based on the integration of data provided by different sensors is a task that requires a labor-intensive initial design phase. Indeed, the definition of the architecture of such acquisition systems needs to start from the identification of th...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-03-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/20/6/1726 |
| _version_ | 1811307440914825216 |
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| author | Francesco Buonamici Rocco Furferi Lapo Governi Antonio Marzola Yary Volpe |
| author_facet | Francesco Buonamici Rocco Furferi Lapo Governi Antonio Marzola Yary Volpe |
| author_sort | Francesco Buonamici |
| collection | DOAJ |
| description | Designing an acquisition system for 2D or 3D information, based on the integration of data provided by different sensors is a task that requires a labor-intensive initial design phase. Indeed, the definition of the architecture of such acquisition systems needs to start from the identification of the position and orientation of the sensors observing the scene. Their placement is carefully studied to enhance the efficacy of the system. This often coincides with the need to maximize the surfaces observed by the sensors or some other metric. An automatic optimization procedure based on the Particle Swarm Optimization (PSO) algorithm, to seek the most convenient setting of multiple optical sensors observing a 3D scene, is proposed. The procedure has been developed to provide a fast and efficient tool for 2D and 3D data acquisition. Three different objective functions of general validity, to be used in future applications, are proposed and described in the text. Various filters are introduced to reduce computational times of the whole procedure. The method is capable of handling occlusions from undesired obstacle in the scene. Finally, the entire method is discussed with reference to 1) the development of a body scanner for the arm-wrist-hand district and 2) the acquisition of an internal environment as case studies. |
| first_indexed | 2024-04-13T09:04:27Z |
| format | Article |
| id | doaj.art-7f536e5abd40407b82776ce6f69626b6 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-13T09:04:27Z |
| publishDate | 2020-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-7f536e5abd40407b82776ce6f69626b62022-12-22T02:53:02ZengMDPI AGSensors1424-82202020-03-01206172610.3390/s20061726s20061726Scene Acquisition with Multiple 2D and 3D Optical Sensors: A PSO-Based Visibility OptimizationFrancesco Buonamici0Rocco Furferi1Lapo Governi2Antonio Marzola3Yary Volpe4Department of Industrial Engineering of Florence, University of Florence, Via di S. Marta 3, 50139 Firenze, ItalyDepartment of Industrial Engineering of Florence, University of Florence, Via di S. Marta 3, 50139 Firenze, ItalyDepartment of Industrial Engineering of Florence, University of Florence, Via di S. Marta 3, 50139 Firenze, ItalyDepartment of Industrial Engineering of Florence, University of Florence, Via di S. Marta 3, 50139 Firenze, ItalyDepartment of Industrial Engineering of Florence, University of Florence, Via di S. Marta 3, 50139 Firenze, ItalyDesigning an acquisition system for 2D or 3D information, based on the integration of data provided by different sensors is a task that requires a labor-intensive initial design phase. Indeed, the definition of the architecture of such acquisition systems needs to start from the identification of the position and orientation of the sensors observing the scene. Their placement is carefully studied to enhance the efficacy of the system. This often coincides with the need to maximize the surfaces observed by the sensors or some other metric. An automatic optimization procedure based on the Particle Swarm Optimization (PSO) algorithm, to seek the most convenient setting of multiple optical sensors observing a 3D scene, is proposed. The procedure has been developed to provide a fast and efficient tool for 2D and 3D data acquisition. Three different objective functions of general validity, to be used in future applications, are proposed and described in the text. Various filters are introduced to reduce computational times of the whole procedure. The method is capable of handling occlusions from undesired obstacle in the scene. Finally, the entire method is discussed with reference to 1) the development of a body scanner for the arm-wrist-hand district and 2) the acquisition of an internal environment as case studies.https://www.mdpi.com/1424-8220/20/6/1726visibility analysisoptical sensors3d scanningcomputer graphicspsobody scannersensor placement |
| spellingShingle | Francesco Buonamici Rocco Furferi Lapo Governi Antonio Marzola Yary Volpe Scene Acquisition with Multiple 2D and 3D Optical Sensors: A PSO-Based Visibility Optimization Sensors visibility analysis optical sensors 3d scanning computer graphics pso body scanner sensor placement |
| title | Scene Acquisition with Multiple 2D and 3D Optical Sensors: A PSO-Based Visibility Optimization |
| title_full | Scene Acquisition with Multiple 2D and 3D Optical Sensors: A PSO-Based Visibility Optimization |
| title_fullStr | Scene Acquisition with Multiple 2D and 3D Optical Sensors: A PSO-Based Visibility Optimization |
| title_full_unstemmed | Scene Acquisition with Multiple 2D and 3D Optical Sensors: A PSO-Based Visibility Optimization |
| title_short | Scene Acquisition with Multiple 2D and 3D Optical Sensors: A PSO-Based Visibility Optimization |
| title_sort | scene acquisition with multiple 2d and 3d optical sensors a pso based visibility optimization |
| topic | visibility analysis optical sensors 3d scanning computer graphics pso body scanner sensor placement |
| url | https://www.mdpi.com/1424-8220/20/6/1726 |
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