Evaluate the 3D Measurement System Accuracy Through 3D Point Cloud Processing Algorithm

Measuring 3D shapes by structured light is currently being widely studied and applied. The accuracy of this measurement method is highly dependent on calibration and point cloud processing. Currently determining the accuracy of a non-contact 3D measuring system also needs to be evaluated. In this paper, a method to evaluate the accuracy of the measurement system by using phase shift combined with Graycode method (PSGC) is proposed. With the construction of algorithms to evaluate accuracy through the criteria of size and spatial accuracy, a measurement system was evaluated. The test results on the experimental measurement system by the phase shift combined Graycode compared with the measurement results by the Graycode method showed that the measurement system has higher accuracy. In addition, the method of determining the spatial accuracy according to the position and orientation of the reference plane is also evaluated.