Automatic camera calibration method based on projective transformation
文献类型：会议论文
| 作者 | Fu SP(付生鹏)1,2 ; Xia RB(夏仁波)1,2; Zhao JB(赵吉宾)1,2
|
| 出版日期 | 2021 |
| 会议日期 | August 27-28, 2021 |
| 会议地点 | Dalian, China |
| 关键词 | seam tracker calibration board recognition plane fitting centerline extraction |
| 页码 | 661-665 |
| 英文摘要 | The precise parameter calibration of the camera is the prerequisite for computer vision applications. A fully automatic camera calibration method based on projective transformation is proposed. A calibration board containing two kinds of circles is used to calibrate the camera. Firstly, perform threshold segmentation on the calibration image to obtain the area where the calibration board is located. Secondly, extract the circles on the calibration board and perform ellipse fitting to identify 5 large circles to determine the direction of the calibration board. Then, use the projective transformation to accurately sort all the circles to obtain a correspondence between the coordinates of the circles' center in the image and the known coordinates of the calibration board. Finally, use the image coordinate values of all the circles' centers to calibrate the camera parameters. The actual experiment verifies that the recognition method is fast, effective and accurate. The automatic calibration of the camera can be completed without manual intervention. |
| 产权排序 | 1 |
| 会议录 | 2021 IEEE International Conference on Advances in Electrical Engineering and Computer Applications, AEECA 2021
 |
| 会议录出版者 | IEEE |
| 会议录出版地 | New York |
| 语种 | 英语 |
| ISBN号 | 978-1-6654-3561-1 |
| 源URL | [http://ir.sia.cn/handle/173321/29926]  |
| 专题 | 工艺装备与智能机器人研究室 |
| 通讯作者 | Fu SP(付生鹏) |
| 作者单位 | 1.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, China 2.Shenyang Institute of Automation, Chinese Academy of Sciences, State Key Laboratory of Robotics, Shenyang, China |
| 推荐引用方式 GB/T 7714 | Fu SP,Xia RB,Zhao JB. Automatic camera calibration method based on projective transformation[C]. 见:. Dalian, China. August 27-28, 2021. |
入库方式： OAI收割
来源：沈阳自动化研究所
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