摘要
针对大尺寸物体形貌视觉测量中三维数据拼接问题提出了一种基于平面圆靶标的三维数据拼接方法。该方法将平面圆靶标放置在被测物前,三维测头分别在相邻两个测量位置拍摄平面圆靶标,然后以平面圆靶标为中介,利用圆特征边缘点集对应,实现前后两个测量位置的三维数据拼接。经实物实验验证,在x、y、z轴方向的拼接精度分别为0.067、0.035、0.134mm,与相同实验条件下方格靶标法的精度相当。在被测物存在部分遮挡的情况下,方格靶标法因为角点误匹配而导致三维数据拼接失败,而本文方法可实现数据拼接在x、y、z轴方向的拼接精度分别为0.062、0.037、0.168mm。
A three-dimensional （3D） data registration method based on planar circular target is proposed to solve the problem of 3D data registration in the vision measurement of large-scale object surface profile. With the planar circular target placed in front of the measured object, 3D vision system takes photographs of planar circular target at adjacent measurement positions. Then the planar circular target is used as an intermediary, and registration of 3D measurement data from adjacent measurement positions is achieved by establishing correspondence between edge points in circle. As shown in experiments, the data registration root mean square （RMS） error of x, y and z, with considerable accuracy of the planar grid target method, is 0. 06, 0. 03 and 0. 134 mm respectively. When the measured object is partly occluded, the data registration RMS error of x, y and z is 0.06, 0.03 and 0. 168 mm respectively. While the method of planar grid target fails to registration because of mismatch of 3D grid data.
出处
《光学学报》
EI
CAS
CSCD
北大核心
2013年第2期130-136,共7页
Acta Optica Sinica
基金
国家自然科学基金(50905011
60804060)
教育部新世纪优秀人才支持计划(NCET-10-0037)资助课题
关键词
机器视觉
三维形貌测量
三维数据拼接
圆靶标
遮挡
machine vision
three-dimenaional surface-profile measurement
three-dimensional data registration
circle target
occlusion
