Image pushing method and device and mobile terminal
A technology in images and images, which is applied in the field of image query and comparison, and can solve problems such as the inability to match between user images and preset databases.
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Embodiment 1
[0054] Such as figure 1 Shown, a kind of image pushing method of the present invention comprises the following steps:
[0055] Step 1: Obtain a user image including at least a person's face;
[0056] Step 2: identify the face information of the person in the user image, the face information of the person includes the feature information of the facial features of the person and the position information of the face of the person in the user image;
[0057] Step 3 compares the face information of the person in the user image with the preset database;
[0058] Step 4: According to the comparison result of the comparison between the facial information of the person in the user's image and the preset database, push the image in the preset database with the highest matching degree with the facial information of the person in the user's image.
[0059] In this embodiment, the user image that includes at least the face of the person is first obtained, and whether it meets the require...
Embodiment 2
[0062] On the basis of Embodiment 1, before identifying the facial features information and face angle information of the user image, the user image is beautified, and the user adjusts and beautifies his own image through the beautification function to obtain an image satisfactory to the user, and then Identify the facial features information and facial angle information of the user's image, and change the features of the facial features through beautification. For example, a user with small eyes can enlarge the eyes and then match the image, search from the preset database and undergo beautification processing The photo with the highest degree of matching with the image of the user, by pre-beautifying the user's image, can help the user find the photo with the highest degree of matching with the beautified self. In this case, the matching result is more popular with the user.
Embodiment 3
[0064] On the basis of Embodiment 1, the shooting posture information of the user image is recognized, that is, in addition to comparing the facial features information and the closeness of the shooting angle between the user image and the image in the preset database, the shooting posture of the person in the two images is also considered Whether they are the same or not is compared by line-processing the character shapes, and identifying the similarity of shooting poses according to the comparison of the coincidence degree of the lines. By increasing the comparison factor of shooting poses, it helps users find not only facial features Similar features, close facial angles when shooting, and photos with the same posture as yourself, making the matching results more accurate and full of fun. For photos with similar angles and the same pose when shooting, the higher the coincidence of the three information items of facial features, shooting angle, and shooting posture, the highe...
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