摘要
为快速精准定位脑电图的源信号,设计一套新的摄影测量系统。该系统通过CCD相机与TOF相机结合来定位源信号,将深度相机获取的三维点云数据替代深度图像进行标定,从而提高相机标定精度。利用三维扫描仪获取实际数据,将重建出的脑部电极的结果数据与实际数据进行比较。实验结果表明,该系统测量平均距离误差为3. 26 mm,与改进前的方法(平均距离误差6. 13 mm)相比,精度有较大提高。
To locate the source signal,a photogrammetric system is designed,which combines the CCD camera with the Time of Flight(TOF)camera.To calibrate the camera group accurately,a method is introduced in this paper which uses the point cloud image directly rather than depth image.Experimental results indicate that the average distance error of reconstruction in this study is 3.26 mm,which is better than traditional calibration method(6.13 mm).
作者
邱会丽
何煜
程徐
赵萌
陈胜勇
QIU Huili;HE Yu;CHENG Xu;ZHAO Meng;CHEN Shengyong(School of Computer and Communication Engineering,Tianjin University of Technology,Tianjin 300384,China;College of Computer Science and Technology,Zhejiang University of Technology,Hangzhou 310023,China)
出处
《计算机工程》
CAS
CSCD
北大核心
2018年第11期239-244,250,共7页
Computer Engineering
基金
国家自然科学基金(U1509207)
关键词
摄影测量
脑电图
相机标定
飞行时间法
点云
photogrammetry
Electroencephalogram(EEG)
camera calibration
Time of Flight(TOF)
point cloud
