摘要
针对现有的大尺寸物体形貌测量技术测量速度慢的缺点,提出了一种组合式大尺寸三维测量技术,该技术将结构光测量系统(SLS)与室内全球定位系统(GPS)技术相结合,利用室内GPS系统追踪固定在SLS顶部的至少3个传感器,实时跟踪SLS在全局坐标系下的三维位姿,然后利用预先标定的系统结构参数将SLS测得的局部三维数据自动转换到全局坐标系下.为了保证数据的整体拼合精度,提出了一种简单有效的结构参数标定算法,该算法利用双目立体视觉系统等效模拟室内GPS,对粘贴在SLS上的3个圆形标志点进行跟踪定位,借助全局坐标系下的参考物体标定出系统的结构参数,并通过测量实验验证了该算法的可行性.
Aiming at improving the large-scale 3D surface profile measurement speed,a combined large-scale 3D measurement technology,which combined indoor global positioning system（GPS） and structure light system（SLS）,is proposed.The indoor GPS will track the position and orientation of the SLSs through three optical sensors which are fixed on each SLS.Then pieces of local 3D data obtained by the SLSs can be converted into a coherent gen-eral coordinate system through the structure parameters which are calibrated previously.To guarantee the accuracy of registration,a simple and effective structure parameter calibration method is proposed.Two cameras are used to simulate indoor GPS and track the centers of circle marks which are passed on SLS instead of the sensors.And the structure parameters are successfully calibrated by reference object which is in global coordinate system.At last an experiment is presented to illustrate the feasibility of auto-registration.
出处
《天津大学学报》
EI
CAS
CSCD
北大核心
2011年第5期425-429,共5页
Journal of Tianjin University(Science and Technology)
基金
国家自然科学基金资助项目(51005090)
关键词
大尺寸测量
室内全球定位系统(GPS)
结构参数
标定
自动拼合
large-scale metrology
indoor global positioning system（GPS）
structure parameter
calibration
auto-registration
