METHOD FOR AUTOMATIC TOOTH TYPE RECOGNITION FROM 3D SCANS

DE602016095817T2Active Publication Date: 2026-07-15SOLVENTUM INTELLECTUAL PROPERTIES CO EAGAN
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Patent Information

Authority / Receiving Office
DE · DE
Patent Type
Patents
Current Assignee / Owner
SOLVENTUM INTELLECTUAL PROPERTIES CO EAGAN
Filing Date
2016-11-22
Publication Date
2026-07-15

AI Technical Summary

Technical Problem

Existing intra-oral scanners require human intervention for tooth type labeling, leading to potential errors in digital workflows.

Method used

An automated method for tooth type identification using a 3D model classification algorithm that computes shape features from a segmented tooth mesh, employing a covariance matrix and machine learning techniques to achieve high accuracy in tooth type recognition.

Benefits of technology

The method achieves accurate tooth type identification with up to 99% accuracy, reducing human error and enhancing the reliability of digital dental workflows.

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