Beauty parameter characteristic value acquisition method, terminal and computer readable storage medium

Abstract

The invention relates to the communication technology field and discloses a beauty parameter characteristic value acquisition method, a terminal and a computer readable storage medium. According to the method, whether at least one type of beauty parameter characteristic values with the quantity N exists is determined, and the N is a natural number greater than 1; if yes, weights of the N beauty parameter characteristic values are enhanced respectively according to the acquisition time sequence, and the weights are gradually enhanced according to the acquisition time sequence; according to theweights and the N beauty parameter characteristic values, the weighted average of the N beauty parameter characteristic values is acquired; the weighted average of the N beauty parameter characteristic values is set as a beauty parameter characteristic value for shooting. The method is advantaged in that the beauty parameter characteristic values can be automatically configured by shooting terminals such as mobile terminals and smart cameras according to beauty habits of users, and user beauty operation is made to be more convenient and customized.

Description

technical field [0001] The embodiments of the present invention relate to the field of communication technologies, and in particular to a method for acquiring feature values ​​of beauty parameters, a terminal, and a computer-readable storage medium. Background technique [0002] With the increasing popularity of mobile terminals, Internet social networks have penetrated into people's daily lives. Photo sharing is the most basic and important part of social network communication. Users have increasingly strong demands for camera beautification. Current beautification algorithms usually use effects such as "whitening, big eyes, and thin face". Each effect has corresponding parameters to be adjusted to adjust the degree of beautification. Users usually adjust it manually. However, in different photo scenes, users usually set inconsistent parameters to achieve the ideal beautification state. In the prior art, data processing such as averaging is generally performed according t...

AI Technical Summary

Problems solved by technology

[0003] However, the inventor found that there are at least the following problems in the prior art: if the user manually adjusts all the photos, data processing such as averaging is performed according to the set parameter values ​​of each post-beautification photo or the parameters set during the user's operation. In this way, the actual effect of the original image before beautification cannot be considered when the user actually takes a photo, and the calibration is completely based on the historical beautification parameters, and it is impossible to accurately predict the user's aesthetic habits

The default parameter settings cannot meet the user's personalized use

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