A robust and accurate camera pose determination method based on geometric optimization search using Internet of Things
We propose a robust and accurate camera pose determination method based on geometric optimization search using the Internet of Things (IoT). The central idea is to (1) obtain image information through Internet of Things technology, (2) obtain the first pose by minimizing the error function, and (3)...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2019-06-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1177/1550147719857581 |
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| _version_ | 1849701950595006464 |
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| author | Qi Wang Zhangyan Zhao Enshun Lu Yang Liu Licheng Liu |
| author_facet | Qi Wang Zhangyan Zhao Enshun Lu Yang Liu Licheng Liu |
| author_sort | Qi Wang |
| collection | DOAJ |
| description | We propose a robust and accurate camera pose determination method based on geometric optimization search using the Internet of Things (IoT). The central idea is to (1) obtain image information through Internet of Things technology, (2) obtain the first pose by minimizing the error function, and (3) use the geometric relationship and constraint condition to obtain the appropriate attitude angles as a new initial value for the next iteration calculation. The features of this method are as follows. First, this method can deal with a large amount of uncertain data, such as in the case of any shooting angle, in the case of any reference point, and in the case of a small number of feature points. Finally, because of using Internet of Things technology, our method can quickly complete data processing and transmission. Compared to state-of-the-art methods, the experimental results show that our approach performs well on both synthetic and real data and can be used to provide accurate and stable data for subsequent applications. |
| format | Article |
| id | doaj-art-28860eef682a4ea7a3d7f9a2524e12bc |
| institution | DOAJ |
| issn | 1550-1477 |
| language | English |
| publishDate | 2019-06-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj-art-28860eef682a4ea7a3d7f9a2524e12bc2025-08-20T03:17:47ZengWileyInternational Journal of Distributed Sensor Networks1550-14772019-06-011510.1177/1550147719857581A robust and accurate camera pose determination method based on geometric optimization search using Internet of ThingsQi Wang0Zhangyan Zhao1Enshun Lu2Yang Liu3Licheng Liu4Wuhan Railway Vocational College of Technology, Wuhan, ChinaSchool of Logistics Engineering, Wuhan University of Technology, Wuhan, ChinaSchool of Logistics Engineering, Wuhan University of Technology, Wuhan, ChinaSchool of Science, Wuhan University of Technology, Wuhan, ChinaSchool of Logistics Engineering, Wuhan University of Technology, Wuhan, ChinaWe propose a robust and accurate camera pose determination method based on geometric optimization search using the Internet of Things (IoT). The central idea is to (1) obtain image information through Internet of Things technology, (2) obtain the first pose by minimizing the error function, and (3) use the geometric relationship and constraint condition to obtain the appropriate attitude angles as a new initial value for the next iteration calculation. The features of this method are as follows. First, this method can deal with a large amount of uncertain data, such as in the case of any shooting angle, in the case of any reference point, and in the case of a small number of feature points. Finally, because of using Internet of Things technology, our method can quickly complete data processing and transmission. Compared to state-of-the-art methods, the experimental results show that our approach performs well on both synthetic and real data and can be used to provide accurate and stable data for subsequent applications.https://doi.org/10.1177/1550147719857581 |
| spellingShingle | Qi Wang Zhangyan Zhao Enshun Lu Yang Liu Licheng Liu A robust and accurate camera pose determination method based on geometric optimization search using Internet of Things International Journal of Distributed Sensor Networks |
| title | A robust and accurate camera pose determination method based on geometric optimization search using Internet of Things |
| title_full | A robust and accurate camera pose determination method based on geometric optimization search using Internet of Things |
| title_fullStr | A robust and accurate camera pose determination method based on geometric optimization search using Internet of Things |
| title_full_unstemmed | A robust and accurate camera pose determination method based on geometric optimization search using Internet of Things |
| title_short | A robust and accurate camera pose determination method based on geometric optimization search using Internet of Things |
| title_sort | robust and accurate camera pose determination method based on geometric optimization search using internet of things |
| url | https://doi.org/10.1177/1550147719857581 |
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