.png){kind=icon}
返回
Pose error analysis method based on a single circular feature
.png){kind=icon}
PRE
AI
DOI：10.1016/j.patcog.2022.108726.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
The measurement accuracy of pose parameters based on a single circular feature depends not only on the accuracy of camera calibration and feature extraction but also on the relative pose of the feature and camera-different poses correspond to different error transmission coefficients. To obtain the relationship between measurement errors and pose parameters, we propose an error analysis method based on geometric interpretation. The method characterises measurement error by the sensitivity the imaging feature has to the variation of pose parameters. In addition, the method can be extended to the error analysis work of other coplanar features' pose measurement algorithms. We conducted simulations on measurement errors of pose parameters under different poses, and the results show that the error distribution of pose parameters is in good agreement with the theoretical analysis. Moreover, we propose a method for judging and optimising outliers, and experimental results show the feasibility of this method. (c) 2022 Elsevier Ltd. All rights reserved.
Keyword:
Pose measurement
Monocular vision
Geometrical analysis
Outlier analysis
Optimisation
期刊
IF:
7.6
论文数:
1.3W
被引数:
4.5W
机构
引用论文
Ethics, CSR and Sustainability (ECSRS) Education in the Middle East and North Africa (MENA) Region.png)
IF0
PREAI
分享收藏
查看更多内容