Increasing the Accuracy for Computer Vision Systems by Removing the Noise
文献类型：会议论文
| 作者 | Wang ZZ(王振洲)
|
| 出版日期 | 2017 |
| 会议名称 | 3rd IEEE International Conference on Control, Automation and Robotics (ICCAR) |
| 会议日期 | April 22-24, 2017 |
| 会议地点 | Nagoya, JAPAN |
| 关键词 | degree of freedom noise pattern modeling computer vision |
| 页码 | 371-374 |
| 通讯作者 | Wang ZZ(王振洲) |
| 中文摘要 | Robots rely on the computer vision systems to obtain the environmental information. As a result, the accuracy of the computer vision systems is essential for the control of the robots. Many computer vision systems make use of markers of the well-designed patterns to calculate the system parameters. Undesirably, the noise exists universally, which decreases the calibration accuracy and consequently decreases the accuracy of the computer vision systems. In this paper, we propose a pattern modeling method to remove the noise by decreasing the degree of freedom of the total calibration markers to one. The theorem is proposed and proved. The proposed method can be readily adopted by different computer vision systems, e.g. structured light based computer vision systems and stereo vision based systems. |
| 收录类别 | EI ; CPCI（ISTP） |
| 产权排序 | 1 |
| 会议主办者 | IEEE |
| 会议录 | 2017 3RD INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND ROBOTICS (ICCAR)
 |
| 会议录出版者 | IEEE |
| 会议录出版地 | NEW YORK |
| 语种 | 英语 |
| ISBN号 | 978-1-5090-6088-7 |
| WOS记录号 | WOS:000404256400070 |
| 源URL | [http://ir.sia.cn/handle/173321/20719]  |
| 专题 | 沈阳自动化研究所_机器人学研究室 |
| 作者单位 | State Key Lab for Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, China |
| 推荐引用方式 GB/T 7714 | Wang ZZ. Increasing the Accuracy for Computer Vision Systems by Removing the Noise[C]. 见:3rd IEEE International Conference on Control, Automation and Robotics (ICCAR). Nagoya, JAPAN. April 22-24, 2017. |
入库方式： OAI收割
来源：沈阳自动化研究所
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