Human face value evaluation method, device and terminal device

Abstract

The invention relates to a human face value evaluation method, device and terminal device. The method comprises the following steps: conducting convolution processing on a human face image according to convolution layers of a convolution nerve network, so as to obtain local features of the human face image extracted from each convolution layer, wherein the human face image is the human face-containing area in an original image, and the convolution nerve network is subjected to a set number of task training; integrating the local features extracted from the convolution layers through a whole connection layer of a convolution nerve network, so as to link the local features into a one-dimensional vector with a set length; inputting the one-dimensional vector into a set number I of forecasting layers of the convolution nerve network respectively, so as to obtain a scoring value, relative to the human face, of the set number according to the forecasting layers. The method, device and terminal device have the advantages that a user can adjust a photographing process more specifically according to the scoring value, so as to improve the picture quality of a photograph to be shot or the skin smoothness of the user.

Description

technical field [0001] The present disclosure relates to the technical field of image processing, and in particular to a method, device, and terminal device for evaluating human face appearance. Background technique [0002] In the related art, when scoring the user's appearance, the distance between facial features is used as a feature, and the geometric features of the distribution of user's facial features are obtained by learning the distance between the facial features. However, because the geometric features of the facial features are affected by the shooting angle and ambient light, when users take pictures at different angles under different lighting conditions, it is not comprehensive enough to judge the appearance value only from the geometric features of the facial features. There is not much reference value in the scene. Contents of the invention [0003] In order to overcome the problems existing in related technologies, embodiments of the present disclosure ...

AI Technical Summary

Problems solved by technology

However, because the geometric features of the facial features are affected by the shooting angle and ambient light, when users take pictures at different angles under different lighting conditions, it is not comprehensive enough to judge the appearance value only from the geometric features of the facial features. There is not much reference value in the scene

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