Multiview intelligent networking based on the genetic evolution algorithm for precise 3D measurements
The use of multi-visual network 3D measurements is increasing; however, finding ways to apply low-cost industrial cameras to achieve intelligent networking and efficient measurement is a key problem that has not been fully solved. In this paper, the multivision stereo vision 3D measurement principle...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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AIMS Press
2023-06-01
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| Series: | Mathematical Biosciences and Engineering |
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| Online Access: | https://www.aimspress.com/article/doi/10.3934/mbe.2023638?viewType=HTML |
| _version_ | 1827887144767586304 |
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| author | Yujing Qiao Ning Lv Baoming Jia |
| author_facet | Yujing Qiao Ning Lv Baoming Jia |
| author_sort | Yujing Qiao |
| collection | DOAJ |
| description | The use of multi-visual network 3D measurements is increasing; however, finding ways to apply low-cost industrial cameras to achieve intelligent networking and efficient measurement is a key problem that has not been fully solved. In this paper, the multivision stereo vision 3D measurement principle and multivision networking process constraints are analyzed in depth, and an intelligent networking method based on the genetic evolution algorithm (GEA) is proposed. The genetic operation is improved, and the fitness function is dynamically calibrated. Based on the visual sphere model, the best observation distance is assigned as the radius of the visual sphere, and the required constraints are fused to establish an intelligent networking design of the centering multivision. A simulation and experiment show that the proposed algorithm is widely feasible, and its measurement accuracy meets the requirements of the industrial field. Our multiview intelligent networking algorithms and methods provide solid theoretical and technical support for low-cost and efficient on-site 3D measurements of industrial structures. |
| first_indexed | 2024-03-12T20:14:02Z |
| format | Article |
| id | doaj.art-d9208f5338bb4a158e893b2cd3bca8ba |
| institution | Directory Open Access Journal |
| issn | 1551-0018 |
| language | English |
| last_indexed | 2024-03-12T20:14:02Z |
| publishDate | 2023-06-01 |
| publisher | AIMS Press |
| record_format | Article |
| series | Mathematical Biosciences and Engineering |
| spelling | doaj.art-d9208f5338bb4a158e893b2cd3bca8ba2023-08-02T01:31:54ZengAIMS PressMathematical Biosciences and Engineering1551-00182023-06-01208142601428010.3934/mbe.2023638Multiview intelligent networking based on the genetic evolution algorithm for precise 3D measurementsYujing Qiao0Ning Lv1Baoming Jia 21. School of Mechanical Engineering, Yangzhou Polytechnic College, Yangzhou 225009, China1. School of Mechanical Engineering, Yangzhou Polytechnic College, Yangzhou 225009, China2. Intelligent Machine Institute, Harbin University of Science and Technology, Harbin 150080, ChinaThe use of multi-visual network 3D measurements is increasing; however, finding ways to apply low-cost industrial cameras to achieve intelligent networking and efficient measurement is a key problem that has not been fully solved. In this paper, the multivision stereo vision 3D measurement principle and multivision networking process constraints are analyzed in depth, and an intelligent networking method based on the genetic evolution algorithm (GEA) is proposed. The genetic operation is improved, and the fitness function is dynamically calibrated. Based on the visual sphere model, the best observation distance is assigned as the radius of the visual sphere, and the required constraints are fused to establish an intelligent networking design of the centering multivision. A simulation and experiment show that the proposed algorithm is widely feasible, and its measurement accuracy meets the requirements of the industrial field. Our multiview intelligent networking algorithms and methods provide solid theoretical and technical support for low-cost and efficient on-site 3D measurements of industrial structures.https://www.aimspress.com/article/doi/10.3934/mbe.2023638?viewType=HTML3d measurementmultiview intelligent networkinggenetic evolution algorithmvisual sphere modelconstraint condition |
| spellingShingle | Yujing Qiao Ning Lv Baoming Jia Multiview intelligent networking based on the genetic evolution algorithm for precise 3D measurements Mathematical Biosciences and Engineering 3d measurement multiview intelligent networking genetic evolution algorithm visual sphere model constraint condition |
| title | Multiview intelligent networking based on the genetic evolution algorithm for precise 3D measurements |
| title_full | Multiview intelligent networking based on the genetic evolution algorithm for precise 3D measurements |
| title_fullStr | Multiview intelligent networking based on the genetic evolution algorithm for precise 3D measurements |
| title_full_unstemmed | Multiview intelligent networking based on the genetic evolution algorithm for precise 3D measurements |
| title_short | Multiview intelligent networking based on the genetic evolution algorithm for precise 3D measurements |
| title_sort | multiview intelligent networking based on the genetic evolution algorithm for precise 3d measurements |
| topic | 3d measurement multiview intelligent networking genetic evolution algorithm visual sphere model constraint condition |
| url | https://www.aimspress.com/article/doi/10.3934/mbe.2023638?viewType=HTML |
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