A fat and thin detection method and mobile terminal
A technology of a mobile terminal and a detection method is applied in the field of fat and thin detection methods and mobile terminals, and can solve problems such as the inability to meet the needs of visual standard users and the like
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Embodiment 1
[0034] refer to figure 1 , which shows a flow chart of Embodiment 1 of a fat and thin detection method of the present invention, which is applied to a mobile terminal with a camera, and may specifically include the following steps:
[0035] Step 101. Obtain a target face image captured by the camera.
[0036] The fat and thin detection method provided by the embodiment of the present invention can be applied to application programs such as image-related APP (Application), entertainment-related APP, and the fat and thin detection method provided by the embodiment of the present invention can be applied to the correspondence between the client and the server. In an application environment, the client and the server may be located in a wired or wireless network, and the client and the server perform data interaction through the wired or wireless network.
[0037] Specifically, the client can run on a mobile terminal with a camera, and the above-mentioned mobile terminal can spec...
Embodiment 2
[0048] refer to figure 2 , which shows a flow chart of Embodiment 2 of a fat and thin detection method of the present invention, which is applied to a mobile terminal with a camera, and may specifically include the following steps:
[0049] Step 201. Obtain the target face image captured by the camera.
[0050] In practical applications, when a user's trigger instruction is received, the camera of the mobile terminal can be used to capture the face image of the target.
[0051] Step 202, extracting the facial contour curve from the chin to the earlobe on one side of the face in the target face image.
[0052] In practical applications, image processing algorithms such as Adaboost detection methods and edge detection methods based on Haar features can be used to locate the target face contour. Optionally, the target face contour can be a closed curve corresponding to the user's face shape, such as It can be understood that the embodiment of the present invention does not lim...
Embodiment 3
[0061] refer to Figure 4 , which shows a flow chart of Embodiment 3 of a fat and thin detection method of the present invention, which is applied to a mobile terminal with a camera, and may specifically include the following steps:
[0062] Step 401, obtaining a frame of face image collected by the camera, and recording it as a reference face image;
[0063] In practical applications, when a user's trigger instruction is received, the camera of the mobile terminal can be used to capture the face image of the target.
[0064] In practical applications, before acquiring the target face image, a reference face image can be acquired in advance, where the reference face image can be an image collected by a camera a few days or months ago, or it can be an image collected by a user before For images obtained by taking old photos, such as old photos taken by the user N (N is greater than or equal to 1) years ago, the present invention does not limit the specific reference face image...
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