Three-dimensional scanning method for intra-oral scanning

Abstract

The invention discloses a three-dimensional scanning method for intra-oral scanning, which is applied to the replenishing process in the intra-oral data digitization processing. The characteristic information of the 3D point cloud is used to realize continuous scanning of the intra-oral data by the scanning device, and ensure the integrity of the data. And since the matching process is acceleratedthrough the GPU, the second-level replenishing speed is realized, and the scanning experience of the equipment is improved.

Description

technical field [0001] The invention relates to the field of oral medicine, in particular to a three-dimensional scanning method for intraoral scanning. Background technique [0002] With the rapid development of 3D measurement technology, this technology has important applications in various industries. During the digitization of oral impressions, the three-dimensional information of the measured object is generally obtained through fringe projection technology. Due to the limitations of measurement equipment and measurement conditions, it is usually impossible to obtain complete 3D data of the measurement scene through one measurement. Therefore, it is necessary to measure the measured scene from multiple perspectives and repeat scans to obtain more complete measurement data. [0003] 3D point cloud free registration technology is applied to intraoral three-dimensional scanning, also known as supplementary scanning technology, through repeated and intermittent scanning to...

AI Technical Summary

Problems solved by technology

[0004] (1) The general methods for calculating point cloud features include Spin Image, PFH, and PCA. Due to the algorithm itself, the calculation of 3D point cloud features is too slow and usually cannot meet real-time requirements;

[0005] (2) The accuracy of the 3D point cloud feature depends on the quality of the overall point cloud. When the point cloud noise is too large, the calculation accuracy of the 3D feature is not high, and it is easy to cause a mismatch;

[0006] (3) The amount of 3D point cloud data scanned in the mouth is very large, so there will be a lot of point cloud feature vectors that need to be retained. When performing supplementary scans on massive point cloud data, the algorithm complexity is large and cannot meet the requirements of real-time supplementary scans

[0007] (4) In intraoral scanning, due to the small field of view of intraoral measurement and the high similarity of 3D point cloud features in each frame, the general free registration technology cannot meet the measurement needs

Images