Electronic plane bow method based on monocular computer vision

A computer vision and electronic technology, applied in the field of oral medicine, can solve problems such as high equipment prices, limited expression information, and difficulty in carrying equipment, and achieve the effects of fast calculation, low cost, and short waiting time

Pending Publication Date: 2022-05-17
ZHEJIANG UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Traditional facebow technology requires the use of sophisticated mechanical devices, which are complicated to operate, difficult to carry, and limited in expressing information; while the existing electronic face

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  • Electronic plane bow method based on monocular computer vision
  • Electronic plane bow method based on monocular computer vision
  • Electronic plane bow method based on monocular computer vision

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Embodiment Construction

[0036] The present invention will be further clearly and completely described below in conjunction with the accompanying drawings and specific embodiments.

[0037] Such as figure 1 , the present invention provides a method for recovering mandibular motion trajectory using a single camera, comprising the steps of: connecting markers, camera acquisition, data calculation, trajectory optimization, and trajectory visualization.

[0038] 1. Before image acquisition, it is necessary to use multiple electronic devices to obtain data information of the human head to model the skull. The data information includes but is not limited to oral scan images containing oral information, face scan images containing facial information, and CBCT image data.

[0039] Specifically, when performing the first step, when connecting markers, the logo pattern Marker used is as follows figure 2 As shown, the logo pattern is generated based on the Aruco module in Opencv. Each cube is a marker, and th...

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Abstract

The invention discloses an electronic plane bow method based on monocular computer vision. The method comprises the following steps: 1) rigidly connecting markers to upper and lower dentitions; 2) motion video data acquisition: acquiring a video of joint motion of the marker and the upper and lower jawbones; 3) motion trail data processing: calculating the collected motion video to obtain the motion trail of the marker; 4) motion trail data optimization: optimizing the motion trail data of the marker, so that the calculated trail data is more accurate and stable; and 5) visualizing the motion trail, applying the motion trail data of the marker to the three-dimensional skull mandible model, and reconstructing the motion trail of the upper mandible and the lower mandible. According to the invention, rapid and accurate track reproduction can be realized, doctors are helped to carry out occlusion detection, the original tedious debugging work is simplified, the medical efficiency and quality are improved, and the economical efficiency is also considered.

Description

technical field [0001] The invention belongs to the field of oral medicine, and in particular relates to an electronic facebow technology based on monocular computer vision. When performing computer-aided design of tooth restoration, the computer vision technology is used to dynamically simulate the occlusal movement of upper and lower jaws and joints. Background technique [0002] Electronic facebow is a technology that uses digital technology to simulate the movement of human jaws and joints. It has a good effect on the diagnosis of jaw joint diseases, tooth restoration and orthodontics. Traditional facebow technology requires the use of sophisticated mechanical devices, which are complicated to operate, difficult to carry, and limited in expressing information; however, the existing electronic facebow technologies all belong to foreign medical device companies, and most of them use sensor solutions, using optical sensors, motion sensors, etc. To collect jaw movement data,...

Claims

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Application Information

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IPC IPC(8): G16H30/40G06T7/20
CPCG16H30/40G06T7/20G06T2207/10016G06T2207/30036G06T2207/30241
Inventor 林海张宏强
Owner ZHEJIANG UNIV
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