摘要
研究了一种基于条纹投影的双目三维成像方法,实现对表面有大梯度或非连续等复杂形貌物体的测量。计算机软件产生的正弦条纹经DLP投影仪投射到被测物体表面,左右两个CCD相机同时拍摄经被测物体表面调制的变形条纹图。通过四步相移和最佳条纹选择方法分别计算得到折叠相位图和展开相位图。建立绝对相位与深度之间的关系,得到两组不同坐标系下的三维点云数据。提出一种改进的最近点迭代(ICP)算法,在每一次迭代过程中剔除不可见点和噪声点,将两组点云数据转换到同一坐标系中。三维形貌测量实验证明了所研制成像系统的可行性和准确性。视场范围内的最大测量误差为0.072mm。
A dual-camera three-dimensional （3D） imaging system is established by using the ~nnge pro- jection technique to measure objects with large slopes and/or discontinuous surface. A DLP projector projects the generated sinusoidal fringe pattern images onto the measured objects surface. The fringe pat- terns are deformed with regard to obiect surface and captured by two color cameras from different views. The absolute phase of each pixel can be calculated from the captured fringe patterns by using the opti- mum three-fringe numbers selection method. The relationship between the absolute phase and depth is established, so two point cloud data from different coordinate systems are obtained. An improved iterative closest point （ICP） algorithm is proposed,and the obtained point cloud data can be transformed into the same coordinate system by rejecting noises and invisible data automatically at each iterative step. Experi- mental results on measuring 3D shape of objects show the accuracy and availability of the developed 3D imaging system. The maximum measurement error is 0. 072 mm in measurement range.
作者
于瑾
陈超
高楠
张宗华
YU Jin;CHEN Chao;GAO Nan;ZHANG Zong-hua(School of Mechanical Engineering,Hebei University of Technology,Tianjin 300130,China)
出处
《光电子．激光》
EI
CAS
CSCD
北大核心
2018年第8期844-851,共8页
Journal of Optoelectronics·Laser
基金
国家重点研发计划(2017YFF0106404)
国家自然科学基金(51675160)
河北省应用基础研究计划重点基础研究资助项目(15961701D)
河北省高层次人才资助项目(GCC2014049)
河北省人才工程培养经费资助项目(A201500503)资助项目
关键词
条纹投影
成像系统
点云数据
最近点迭代
三维形貌测量
fringe projeetion
imaging system
point cloud data
iterative closest point
three-dimensionalshape measurement
作者简介
高楠（1982-），男，天津人。博士研究生，讲师，主要从事光学测量与光谱检测方面的研究．E-mail：ngao@hebut．edu．cn
