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Motion-based pose estimation via free falling
Gu ZJ(古长军)1,2; Sun G(孙干)1,2; Feng Y(冯云)1; Tian DY(田冬英)1; Peng, Yan3; Li, Xiaomao3; Cong Y(丛杨)1
作者部门机器人学研究室
会议名称33rd Youth Academic Annual Conference of Chinese Association of Automation, YAC 2018
会议日期May 18-20, 2018
会议地点Nanjing, China
会议录名称Proceedings - 2018 33rd Youth Academic Annual Conference of Chinese Association of Automation, YAC 2018
出版者IEEE
出版地New York
2018
页码673-676
收录类别EI
EI收录号20183105631748
产权排序1
ISBN号978-1-5386-7255-6
关键词camera calibration multi-view geometry minimal algorithms stereo vision
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.
语种英语
文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/22355
专题机器人学研究室
通讯作者Cong Y(丛杨)
作者单位1.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, China
2.University of Chinese Academy of Sciences, China
3.School of Mechatronic Engineering and Automation, Shanghai University, Shanghai, China
推荐引用方式
GB/T 7714
Gu ZJ,Sun G,Feng Y,et al. Motion-based pose estimation via free falling[C]. New York:IEEE,2018:673-676.
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