Three-dimensional tooth point cloud model data classification method and system based on deep learning

A point cloud model and deep learning technology, applied in neural learning methods, 3D object recognition, biological neural network models, etc., can solve problems such as tooth deformity, misalignment, and tooth classification difficulties, achieve high-precision classification, and improve classification accuracy Effect
CN112989954AActive Publication Date: 2021-06-18SHANDONG UNIV

Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
SHANDONG UNIV
Publication Date
2021-06-18

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Abstract

The invention discloses a three-dimensional tooth point cloud model data classification method and system based on deep learning, and the method comprises the steps: obtaining a tooth three-dimensional model, and extracting a whole set of tooth point cloud model from the tooth three-dimensional model; segmenting the whole set of tooth point cloud model to obtain a plurality of single tooth point cloud models; for a single tooth point cloud model, extracting a single tooth point cloud model feature, a relative position feature and an adjacent similarity feature, and respectively inputting the features into a classifier; classifying the input multiple features in the classifier, and outputting a preliminary classification result of a single tooth.
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Description

technical field

[0001] The invention relates to the technical field of point cloud data processing, in particular to a deep learning-based three-dimensional tooth point cloud model data classification method and system. Background technique

[0002] The statements in this section merely mention the background technology related to the present invention and do not necessarily constitute the prior art.

[0003] "Digital Dentistry" is a concept that has been proposed for many years, that is, to digitize the dental diagnosis and treatment process, with the help of CAD\CAM technology, to reduce the time and energy consumption of dentists in basic diagnosis and treatment steps, and to effectively improve the efficiency of diagnosis and treatment.

[0004] In order to carry out dental digitization, the first step is to carry out data acquisition. In current dentistry, a variety of medical imaging technologies have been widely used, such as X-ray film, CT, etc., and these imaging t...

Claims

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