A scoring method of Asian female skin value based on depth convolution network

Abstract

The invention discloses an Asian female skin value scoring model method based on a depth convolution network, which comprises the following four steps: a sample data acquisition step; constructing a convolution network model; a method for constructing a stochastic forest model comprises the following steps of: marking the key point position of a human face based on a face recognition database technology, extracting the coordinates of the key point position of the human face, traversing a cycle to generate a group of calculation points composed of a part of the key points of the human face, andconstructing and optimizing the stochastic forest model; based on booster trees algorithm, the convolutional network model and stochastic forest model are fused to complete the final color score of the fusion model stage steps. At the same time, it combines the key information of Asian women's face, facial features, skin color and so on, which have strong discriminating ability, and collects theadvantages of convolution network and stochastic forest model, so as to improve the accuracy of skin value scoring prediction, the effect of the model is significant, and the mean value is closer to the real value.

Description

technical field [0001] The present invention relates to a deep convolutional network, in particular to a scoring model method for the appearance of Asian women based on a deep convolutional network. Background technique [0002] With the rapid development of social economy and the progress of the times, people's living standards are constantly improving, and more women have higher requirements for their own appearance. As a result, all kinds of beauty evaluation software have emerged, and many women hope to objectively and quantitatively evaluate the beauty of their appearance through certain technical means. However, there are two main types of existing appearance scoring techniques: appearance scoring based on public voting and appearance scoring based on machine learning algorithms. Taking the mean or mode, etc., has the interference of various artificial factors, and the accuracy fluctuates greatly; the latter mainly uses machine learning or deep learning models to pred...

AI Technical Summary

Problems solved by technology

[0003] In order to solve the current situation of the existing Asian women's appearance evaluation, the appearance evaluation effect is not good enough, only face features are extracted, there are much fewer features than image classification, and the evaluation accuracy is not ideal, etc. The present invention provides a method that can simultaneously integrate Asian women Unique face shape, facial features ratio, skin color, etc. have a strong ability to distinguish Asian women's facial value scoring model method based on deep convolutional network

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