A complete symbolic-numeric linear method for camera pose determination

Author(s):  
Greg Reid ◽  
Jianliang Tang ◽  
Lihong Zhi
2019 ◽  
Vol 15 (6) ◽  
pp. 155014771985758
Author(s):  
Qi Wang ◽  
Zhangyan Zhao ◽  
Enshun Lu ◽  
Yang Liu ◽  
Licheng Liu

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.


2014 ◽  
Vol 11 (11) ◽  
pp. 1976-1980 ◽  
Author(s):  
Xiaodong Xiong ◽  
Yongjun Zhang ◽  
Junfeng Zhu ◽  
Maoteng Zheng

2016 ◽  
Vol 917 (11) ◽  
pp. 11-15 ◽  
Author(s):  
G.A. Shekhovtsov ◽  
◽  
R.P. Shekhovtsova ◽  
O.V. Raskatkina ◽  
◽  
...  
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