Facial nerve paralysis rehabilitation detection system based on artificial intelligence
A facial nerve paralysis and artificial intelligence technology, applied in computer parts, medical automation diagnosis, medical informatics, etc., can solve the problems of lack of accuracy and efficiency, facial muscle analysis and feature extraction, and inability to describe facial muscle movement characteristics. , to achieve accurate and credible quantitative results, reduce power consumption, and achieve accurate 3D models.
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[0037] The face of the patient is facing the camera, and the RGB image data of the patient's face is collected. In the face 3D model building module, the 3D model of the patient's face is obtained by using the patient's face image, that is, the 3D reconstruction of the face. There are many methods for face 3D reconstruction, such as PRNet, VRNet, 2DASL, etc. The embodiment uses the 2DASL method to obtain a 3DMM model of the face, that is, a 3D mesh of the face.
[0038]2DASL is a public 3D face reconstruction method. Its input is a face image and a special single-channel image. The pixel value of the single-channel image is 1 at the key points of the face, and -1 at the other positions; the output It is the parameters of the 3DMM model, and these parameters can be applied to the 3DMM model to obtain the face 3D mesh corresponding to the face image. The 3DMM model is a deformable 3D face 3D mesh, which adjusts the shape and expression of a face 3D mesh by changing some paramete...
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