Determination method of human eye closing degree and eye control method and device
A technology of determination method and control method, applied in the field of image processing, can solve the problem that the blinking action of the human eye cannot be applied to the application control scene, etc.
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Embodiment 1
[0062] figure 1 It is a flowchart of a method for determining the degree of human eye closure provided by Embodiment 1 of the present invention. The embodiment of the present invention is applicable to the situation of determining the degree of human eye closure, and the method can be executed by a device for determining the degree of human eye closure. The device can be realized by means of software and / or hardware, and integrated in the device for performing the method, specifically, as figure 1 As shown, the method may include the following steps:
[0063] S101. Acquire a face image.
[0064]In the embodiment of the present invention, the face image may be the face image of the user collected by the camera when the user takes a selfie, shoots a short video, or broadcasts a live broadcast through a terminal equipped with a camera. For example, when the user takes a selfie, the camera collects the image in real time And display the preview image on the display screen of the...
Embodiment 2
[0077] Figure 2A It is a flowchart of a method for determining the degree of human eye closure provided by Embodiment 2 of the present invention. The embodiment of the present invention is optimized on the basis of the foregoing Embodiment 1. Specifically, as Figure 2A As shown, the method may include the following steps:
[0078] S201. Acquire a face image.
[0079] S202. Perform face key point detection on the face image to obtain face key points.
[0080] Face key point detection includes face key point detection, positioning or face alignment. It refers to the location of key areas of the face for a given face image, including eyebrows, eyes, nose, mouth, facial contours, etc. area.
[0081] Face key points can be extracted through a pre-trained face key point detection model. Specifically, a large number of face images can be collected and key points can be marked on the face images to form training data. After training the model through the training data, The face ...
Embodiment 3
[0112] image 3 It is a flow chart of an eye control method provided by Embodiment 3 of the present invention. This embodiment of the present invention is applicable to the situation of controlling the eyes in the face model according to the eyes in the face image. The method can be controlled by the eye control device Execution, the device can be implemented by means of software and / or hardware, and integrated in the device for performing the method, specifically, such as image 3 As shown, the method may include the following steps:
[0113] S301. Acquire a face image and a face model.
[0114] In the embodiment of the present invention, the face image may be the face image of the user collected by the camera when the user takes a selfie, shoots a short video, or broadcasts a live broadcast through a terminal equipped with a camera. For example, when the user takes a selfie, the camera collects the image in real time And display the preview image on the display screen of t...
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