An image processing method and a mobile terminal
An image processing and mobile terminal technology, applied in the field of image processing, can solve problems such as time-consuming and difficult to meet the makeup needs of users, and achieve the effect of meeting the needs of makeup
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no. 1 example
[0030] refer to figure 1 , showing a flowchart of an image processing method according to an embodiment of the present invention, which is applied to a mobile terminal, and the method may specifically include the following steps:
[0031] Step 101, identify the face type and facial feature type of the face in the target image;
[0032] The face types include, but are not limited to, round faces, heart-shaped faces, melon-shaped faces, diamond-shaped faces, and Chinese character faces.
[0033] The five sense organs include eyes, eyebrows, nose, ears and mouth. Therefore, the facial features here refers to the type of each organ in the above facial features. For example, the types of eyes can include, but are not limited to, large eyes with double eyelids, small eyes with double eyelids, phoenix eyes, single eyelid, etc.; types of noses can include, but are not limited to, large nose wings with high nose bridge, small nose wings with collapsed bridge, small nose wings with hi...
no. 2 example
[0072] On the basis of the first embodiment, when step 101 is executed, the figure 2 shown method to achieve:
[0073] Step 201, performing facial feature recognition on the two-dimensional RGB image to determine multiple feature points;
[0074] Among them, the facial features in the two-dimensional RGB image can be detected, so as to determine various facial feature points in the image. Such as facial features and facial features.
[0075] The mobile terminal may have a 3D camera, and the method of the embodiment of the present invention may firstly control the 3D camera to take a picture of the user's face, so as to obtain a three-dimensional image, that is, a target image.
[0076] Of course, if the camera is a 2D camera, and the target image is a two-dimensional RGB image, a depth image corresponding to the two-dimensional RGB image and a three-dimensional point cloud image corresponding to the two-dimensional RGB image can be generated.
[0077] Then, information is ...
no. 3 example
[0130] refer to image 3A flowchart of an image processing method according to another embodiment of the present invention is shown, which may specifically include the following steps:
[0131] Step 301, performing machine learning on the makeup selected by the user on the photographed face image, and generating a first correspondence between the user and a favorite makeup type, and a second correspondence between the user and the facial features;
[0132] The method of the embodiment of the present invention can record and learn the makeup look selected by the user each time after the user can use the method of the embodiment of the present invention for multiple times to perform makeup and photographing processing on the face image, so as to determine the makeup that the user likes to use. Makeup type, generate the first correspondence between the user and the makeup type they like.
[0133] In addition, in this embodiment of the present invention, the identity of the user ...
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