基于多线结构光集成的三维形状测量

3D Shape Measurement Based on Line Structured Light

以往基于线结构光的物品三维测量大多只用到两个相机,在最后数据拼接时会出现盲区,只能通过表面拟合来进行修复。因此提出了一种基于多传感器集成的测量系统,通过四台相机与激光发射器的配合,从四个角对物品进行全方位扫描,通过相机之间的标定,计算出四台相机坐标系之间的空间位置转换矩阵,从而将四个相机下得到的点云数据统一到一个坐标系下,最后对点云数据进行处理,从而得到物品的三维模型。采用该系统对物品进行三维扫描效率更高,并且点云数据更完整,重建效果也更好。

In the past,3D measurement based on line structured light mostly used only two cameras.When the final data was spliced,there would be a blind area,which could only be repaired by surface fitting.In this paper,a measurement system based on the multi-sensor integration was presented,which used four cameras and four laser transmitters to scan an object from four corners.Through calibration between cameras,the space position conversion matrixes between four camera coordinate systems were calculated.The point cloud data obtained from four cameras were unified into one coordinate system.Then the point cloud data was processed to get the 3D model of the object.Using this system,the efficiency of 3D scanning is improved,and the point cloud data is more complete and the reconstruction effect is better.