Calibration Method for Mapping Camera Based on a Precise Grouped Approach Method
文献类型：期刊论文
| 作者 | Zheng, L. N.; Yuan, G. Q.; Leng, X.; Wu, Y. F. |
| 刊名 | International Journal of Pattern Recognition and Artificial Intelligence
 |
| 出版日期 | 2018 |
| 卷号 | 32期号:11页码:12 |
| 关键词 | PGAM mapping camera calibration exact measuring angle method weighted theory machine vision metrology Computer Science |
| ISSN号 | 0218-0014 |
| DOI | 10.1142/s0218001418550194 |
| 英文摘要 | This paper introduces a new calibration method for the mapping camera called Precise Grouped Approach Method (PGAM). The conventional calibration method for the mapping camera is the exact measuring angle method. The accuracy of this method can be reduced by theoretical uncertainties and the number and distribution of observation points. PGAM is able to overcome these disadvantages and improve the accuracy. Firstly, we reduce the theoretical uncertainties by means of a grouped approach method, which rectifies the high-precision rotation stage to zero position. Secondly, a weighted theory is applied to eliminate the effect of the number and distribution of observation points. Finally, the accuracy of PGAM is analyzed. The experiment result shows that the calibration accuracy is significantly improved when using the proposed PGAM algorithm, compared to the conventional one under the identical experimental condition. |
| 源URL | [http://ir.ciomp.ac.cn/handle/181722/60922]  |
| 专题 | 中国科学院长春光学精密机械与物理研究所 |
| 推荐引用方式 GB/T 7714 | Zheng, L. N.,Yuan, G. Q.,Leng, X.,et al. Calibration Method for Mapping Camera Based on a Precise Grouped Approach Method[J]. International Journal of Pattern Recognition and Artificial Intelligence,2018,32(11):12. |
| APA | Zheng, L. N.,Yuan, G. Q.,Leng, X.,&Wu, Y. F..(2018).Calibration Method for Mapping Camera Based on a Precise Grouped Approach Method.International Journal of Pattern Recognition and Artificial Intelligence,32(11),12. |
| MLA | Zheng, L. N.,et al."Calibration Method for Mapping Camera Based on a Precise Grouped Approach Method".International Journal of Pattern Recognition and Artificial Intelligence 32.11(2018):12. |
入库方式： OAI收割
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。