Facial paralysis degree evaluation system based on artificial intelligence

An evaluation system and artificial intelligence technology, applied in image data processing, instrument, character and pattern recognition, etc., can solve the problem of detection result error, face is not completely symmetrical, etc., to improve accuracy, save resources, reduce interference factors the effect of

CN112541897AInactive Publication Date: 2021-03-23范会笑
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Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
Publication Date
2021-03-23
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention relates to the field of artificial intelligence, in particular to a facial paralysis degree evaluation system based on artificial intelligence. The system comprises an image acquisitionmodule used for acquiring a to-be-detected image; an image cutting module which is used for cutting the to-be-detected image to obtain a to-be-detected face image; a to-be-tested face 3D model construction module which is used for constructing a to-be-tested face 3D model; a normal face 3D model matching module which is used for screening a normal face 3D model similar to the to-be-detected face in shape; an expression adjusting module which is used for adjusting expression parameters of the normal face 3D model to obtain a standard face 3D model; an ROI region division module which is used for dividing ROI regions for the to-be-detected human face 3D model and the standard human face 3D model, numbering the ROI regions and distributing corresponding weights, and calculating the distance between the central points of the two ROI regions with the same number; and a facial paralysis degree evaluation module which is used for evaluating the facial paralysis degree according to the weightand the distance. According to the system, the problem that errors exist when the facial paralysis degree is judged by utilizing the left-right symmetry of the human face in the prior art due to incomplete symmetry of the normal human face is solved.
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Description

technical field

[0001] The invention relates to the technical field of artificial intelligence, in particular to an artificial intelligence-based evaluation system for the degree of facial paralysis. Background technique

[0002] Facial palsy is a disease characterized by motor dysfunction of facial expression muscles. It is a common disease, frequently occurring disease, and is not restricted by age. Facial paralysis is mainly caused by facial nerve damage, most of which are unilateral facial paralysis, mainly manifested in crooked mouth and eyes, unable to complete basic facial movements such as raising eyebrows, closing eyes, and puffing cheeks. When the face moves, the feature difference between the left and right sides is more obvious.

[0003] As long as facial paralysis is detected early, treated in time, and the treatment measures are appropriate, it can generally be fully recovered. Clinically, an appropriate treatment plan will be formulated according to the degr...

Examples

Embodiment Construction

[0041] In order to further explain the technical means and effects that the present invention takes to achieve the intended invention purpose, below in conjunction with the accompanying drawings and preferred embodiments, a kind of facial paralysis degree assessment system based on artificial intelligence proposed according to the present invention, its specific implementation , structure, feature and effect thereof are described in detail as follows. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. Furthermore, the particular features, structures, or characteristics of one or more embodiments may be combined in any suitable manner.

[0042] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the technical field of the invention.

[0043] A specific scheme of a facial paralysis degree evaluation system b...