Tooth 3D point cloud-based identity recognition method and system

Abstract

The invention relates to the field of identity recognition methods, in particular to a tooth 3D point cloud-based identity recognition method and system, and the method comprises the following steps: a database establishing step: collecting initial samples of teeth and gingiva through a data collection unit, extracting feature vectors of all collected initial samples through a model network, and recording the feature vectors into the database; a virtual sample generation step: performing data preprocessing on the feature vectors extracted by the model network to generate a preset quantity of virtual samples; and a virtual sample testing step: testing whether the virtual sample is matched with the initial sample of the corresponding target in the database through the loss function. According to the method, the data on the residual teeth of the soldier is matched with the virtual sample by utilizing a method for generating the virtual sample, so that residual tooth fragments of the soldier can be collected, simply processed and then scanned, and then the scanned data is transmitted to a multi-dimensional information platform for data matching, so that soldier identity recognition is quickly carried out.

Description

technical field [0001] The invention relates to the field of identification methods, in particular to an identification method and system based on tooth 3D point clouds. Background technique [0002] Since 3D vision technology can obtain richer and more comprehensive environmental information compared with 2D vision, many vision technology applications based on 3D point cloud have gradually emerged recently, and have become robot navigation, unmanned driving, augmented / virtual reality, industrial inspection, medical treatment, etc. Key technologies in auxiliary and other fields. The current 2D computer vision technology based on deep learning is becoming more and more mature, and has made good progress in many fields. However, the real world is a three-dimensional space. There are inherent defects in modeling the real world by purely using 2D technology, that is, the lack of depth information. We cannot obtain the absolute scale and position of objects from 2D pictures. Wi...

AI Technical Summary

Problems solved by technology

[0005] The existing technology cannot be used for identification through the remaining teeth of soldiers, because the teeth of soldiers are easily lost in war, so the data of the teeth of soldiers is lost, and the remaining teeth of soldiers cannot be matched with the original data.

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