Motion-based pose estimation via free falling | |
Tian DY(田冬英)3; Gu CJ(古长军)2,3; Sun G(孙干)2,3; Feng Y(冯云)3; Peng, Yan1; Li, Xiaomao1; Cong Y(丛杨)3 | |
2018 | |
会议日期 | May 18-20, 2018 |
会议地点 | Nanjing, China |
关键词 | Camera Calibration Multi-view Geometry Minimal Algorithms Stereo Vision |
页码 | 673-676 |
英文摘要 | Recently, multiple cameras can be calibrated with high precision calibration object. However, most existing methods are often difficult to design and further cause high computational cost. Therefore in this paper, we propose a new method to simultaneously calibrate multiple cameras into a network using free fall motion. Specifically, it first estimates the feature points based on synchronization or asynchronous free fall motion. The extracted feature points are then used as corresponding points for multi-camera calibration. After adding an uncalibrated node into a network of calibrated cameras, our method can fully automatic calibrate multiple cameras using several free fall motion. Finally, the proposed method is evaluated using synthetic data. |
产权排序 | 1 |
会议录 | Proceedings - 2018 33rd Youth Academic Annual Conference of Chinese Association of Automation, YAC 2018 |
会议录出版者 | IEEE |
会议录出版地 | New York |
语种 | 英语 |
ISBN号 | 978-1-5386-7255-6 |
WOS记录号 | WOS:000454639700122 |
内容类型 | 会议论文 |
源URL | [http://119.78.100.139/handle/173321/22355] |
专题 | 沈阳自动化研究所_机器人学研究室 |
通讯作者 | Cong Y(丛杨) |
作者单位 | 1.School of Mechatronic Engineering and Automation, Shanghai University, Shanghai, China 2.University of Chinese Academy of Sciences, China 3.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, China |
推荐引用方式 GB/T 7714 | Tian DY,Gu CJ,Sun G,et al. Motion-based pose estimation via free falling[C]. 见:. Nanjing, China. May 18-20, 2018. |
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