Big Data Image Processing Based on Coefficient 3D Reconstruction Model
In the history of human society, information is an indispensable part of development, and extracting useful data from the huge amount of data can effectively solve some real-life problems. At the same time, with the continuous improvement of modern technology and computer hardware and equipment, the...
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| Vydáno v: | Mobile information systems Ročník 2022; s. 1 - 10 |
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| Hlavní autor: | |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
Amsterdam
Hindawi
22.04.2022
John Wiley & Sons, Inc |
| Témata: | |
| ISSN: | 1574-017X, 1875-905X |
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| Abstract | In the history of human society, information is an indispensable part of development, and extracting useful data from the huge amount of data can effectively solve some real-life problems. At the same time, with the continuous improvement of modern technology and computer hardware and equipment, the demand for information subjects is getting higher and higher. The field of human research is gradually moving in the direction of multiscientific exploration and deepening of related work. The related information disciplines have been studied by more scholars and experts in the field to a greater extent and put forward more demanding theories and methods. In the process of human social development, things are constantly changing and updating, which makes data mining technology more and more attention. This article first describes the relevant basic theoretical knowledge of 3D reconstruction, and secondly, it analyzes the big data platform technology, which mainly includes the analysis of the big data platform architecture, the description of the Hadoop distributed architecture, and the analysis of the HBase nonrelational database. Finally, it studies the video image feature extraction technology of video content and uses this to study the design of a big data image processing platform for 3D reconstruction models. |
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| AbstractList | In the history of human society, information is an indispensable part of development, and extracting useful data from the huge amount of data can effectively solve some real-life problems. At the same time, with the continuous improvement of modern technology and computer hardware and equipment, the demand for information subjects is getting higher and higher. The field of human research is gradually moving in the direction of multiscientific exploration and deepening of related work. The related information disciplines have been studied by more scholars and experts in the field to a greater extent and put forward more demanding theories and methods. In the process of human social development, things are constantly changing and updating, which makes data mining technology more and more attention. This article first describes the relevant basic theoretical knowledge of 3D reconstruction, and secondly, it analyzes the big data platform technology, which mainly includes the analysis of the big data platform architecture, the description of the Hadoop distributed architecture, and the analysis of the HBase nonrelational database. Finally, it studies the video image feature extraction technology of video content and uses this to study the design of a big data image processing platform for 3D reconstruction models. |
| Author | Sun, Hujun |
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| Cites_doi | 10.1109/JAS.2020.1003222 10.9708/jksci.2018.23.09.035 10.1007/s11432-019-9925-1 10.1002/spe.2425 10.11989/JEST.1674-862X.71018158 10.1088/1755-1315/208/1/012010 10.1007/s43926-021-00015-6 10.1049/iet-ipr.2017.0770 10.17559/TV-20190712135459 10.1016/j.gsf.2020.09.016 10.1093/nsr/nwab048 10.1007/s00006-021-01151-6 10.1364/AO.414952 10.17559/TV-20190214135509 |
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| Copyright | Copyright © 2022 Hujun Sun. Copyright © 2022 Hujun Sun. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0 |
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| References | 12 13 14 L. Fujia (6) 2021; 32 S. Long-Xiang (11) 2021; 134 15 16 19 J. I. A. N. G. Tengjiao (17) 2016; 5 K. Habib (8) 2014; 30 1 2 S. Bao (20) 2017; 1 4 Z. Jiazhou (21) 2017; 43 5 7 9 R. Kune (18) 2017; 47 O. R. Sofia (3) 2021; 10 10 |
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| SubjectTerms | Algorithms Big Data Cameras Continuous improvement Data mining Feature extraction Geometry Image processing Image reconstruction Information industry Information technology Methods Three dimensional models |
| Title | Big Data Image Processing Based on Coefficient 3D Reconstruction Model |
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