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- Title
A robust and accurate camera pose determination method based on geometric optimization search using Internet of Things.
- Authors
Qi Wang; Zhangyan Zhao; Enshun Lu; Yang Liu; Licheng Liu
- Abstract
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.
- Subjects
INTERNET of things; POSE estimation (Computer vision); INTERNET searching; ERROR functions; ELECTRONIC data processing; DATA transmission systems
- Publication
International Journal of Distributed Sensor Networks, 2019, Vol 15, Issue 6, p1
- ISSN
1550-1329
- Publication type
Article
- DOI
10.1177/1550147719857581