Research on the volume measurement algorithm and application of irregular objects based on3D point cloud

In recent years, with the development of 3D laser scanning technology, it has provided the basis for the wide application of irregular object volume measurement based on point cloud. However, in practice, how to measure the volume of irregular objects in a single viewing Angle, the existing methods still have some limitations, such as overfitting the surface of the point cloud, large measurement error of non-convex objects, and non-closed point cloud can not be measured. In this paper, a method of measuring the volume of irregular objects in single view based on 3D point cloud is proposed. Firstly, an infrared camera is used to capture the point cloud image of the object at the overlooking Angle, and the spatial position correction is carried out on the point cloud image to make the carrying object plane coincide with the XOY plane. Secondly, the point cloud data unrelated to the measured object is removed, and the object point cloud is projected vertically down to the XOY plane, and the projected area of the point cloud is calculated using regression model and grid method. Finally, the measured object is regarded as a combination of multiple columns with the same base area, and the exact volume of the object is calculated by the accumulation method. Experimental results show that the volume measurement of irregular objects can be completed by using the method proposed in this paper under a single view Angle, and the average relative error rate is only 3.52%.