Mouth occlusion judgment method and device, computer readable storage medium and equipment
A mouth and lips technology, applied in the field of mouth occlusion judgment, can solve the problems of high accuracy, good generalization, and strong robustness, and achieve high accuracy, good generalization, and strong robustness
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Embodiment 1
[0077] An embodiment of the present invention provides a method for judging mouth occlusion, such as figure 1 As shown, the method includes:
[0078] S100: Acquire a face image and locate key points of the face.
[0079] This step does not limit the method of obtaining the face image. For example, the face image can be collected through the face lens. When collecting, a single image can be collected, or a video can be collected, and a single frame or multiple frames can be obtained from the video. image.
[0080] After obtaining the face image, face detection and key point positioning are required. For example, an SSD face detector can be used for face detection on the face image, and then the TDCNN method can be used for key point positioning to obtain the key points of the face. coordinate. The face detector is not limited to SSD, you can also use CRAFT, ADABOOST, etc. In the same way, the facial key point positioning method is not limited to using TDCNN, and SDM can als...
example 1
[0095] Such as Figure 6 As shown, this example directly uses the distance h between the upper and lower lips as the degree of mouth opening. The larger the distance, the greater the degree of mouth opening. When the distance h is greater than the set threshold, it can be considered that the face image is divided into mouth images. .
example 2
[0097] Because different users have different mouth sizes, and when collecting face images, due to the imaging rules of cameras and other acquisition devices, the size of the face images collected at different distances is different. This will lead to a deviation in directly using h as the degree of mouth opening, so that there is an error when the face image is divided into an image with an open mouth or an image with a non-open mouth.
[0098] In order to solve the above problems, this example uses the ratio h / w of the distance h between the upper and lower lips and the distance w between the left and right eyes as the degree of mouth opening. Since the distance w between the left and right eyes of the same user is not changed in practice, h / w can be accurately describes the degree to which the mouth is open.
[0099] Based on this example, as in figure 2 As shown, the aforementioned S200 includes:
[0100] S210: Calculate the vertical distance between the key points of t...
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