Accuracy assessment method for optical three-dimensional scanner

Abstract

The invention discloses an accuracy assessment method for an optical three-dimensional scanner. The method comprises the steps of A, performing scanning pre-treatment on a customized standard piece tocalibrate the scanner; B, measuring the customized standard piece by using an optical three-dimensional scanner, simulating a scanning and splitting process, and acquiring complete point cloud data;C, importing the acquired point cloud data into three-party processing software, and using a ball fitting command, to acquire a diameter fitted value and a ball center distance fitted value of a ballof the customized standard piece; and D, comparing the fitted value of the scanned corresponding data with the standard value of the corresponding data of the customized standard piece, and quantitatively judging the single measurement accuracy, repeated measurement accuracy and split measurement accuracy of the optical three-dimensional scanner. According to the method provided by the invention,the single measurement error, repeated measurement error and the split measurement error of the optical three-dimensional scanner under the same natural environment and calibration environment can besynchronously acquired, and thus the measurement accuracy of the optical three-dimensional scanner can be predicted from multiple dimensions, and the condition that whether the workpiece measurement requirement can be met is judged.

Description

technical field [0001] The invention relates to the technical field of reverse engineering, in particular to an accuracy evaluation method of an optical three-dimensional scanner. Background technique [0002] The intelligent manufacturing model characterized by the deep integration of information technology and manufacturing technology can promote the transformation of manufacturing technology to intelligent manufacturing. As the vanguard of intelligent manufacturing, additive manufacturing technology is leading the transformation of traditional manufacturing methods. In the process of change, additive manufacturing is not only compatible with the data format of traditional design, but also supports the data format of optical 3D scanning. [0003] Although optical 3D scanning can solve the problem of data sources for additive manufacturing, the quality of optical 3D scanners on the market varies. In order to improve market competitiveness, manufacturers claim that the accur...

AI Technical Summary

Problems solved by technology

However, the sample of this evaluation method is only applicable to the oral and dental industry, and the point cloud data comparison deviation is a qualitative regional deviation, which cannot quantitatively and accurately determine the measurement accuracy of the 3D scanner

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