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A lipstick recommendation method and system based on machine learning color matching

A technology of machine learning and color matching, applied in the field of color matching lipstick recommendation method and system, can solve the problem of lack of aesthetic feeling

Active Publication Date: 2021-04-23
QILU UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The manual selection of lipstick color is greatly affected by subjective factors, and different people have different judgment standards. In many cases, the selected color does not match the shape of the face, lip shape, and skin color. There are large errors and lack of aesthetic feeling

Method used

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  • A lipstick recommendation method and system based on machine learning color matching
  • A lipstick recommendation method and system based on machine learning color matching
  • A lipstick recommendation method and system based on machine learning color matching

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Embodiment Construction

[0022] It should be noted that the following detailed description is exemplary and intended to provide further explanation of the present disclosure. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this disclosure belongs.

[0023] It should be noted that the terminology used herein is only for describing specific embodiments, and is not intended to limit the exemplary embodiments according to the present disclosure. As used herein, unless the context clearly dictates otherwise, the singular is intended to include the plural, and it should also be understood that when the terms "comprising" and / or "comprising" are used in this specification, they mean There are features, steps, operations, means, components and / or combinations thereof.

[0024] Implementation example one

[0025] The implementation example of the present disclosure proposes a machine learning-ba...

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Abstract

This disclosure proposes a machine learning-based color matching lipstick recommendation method and system to obtain matching picture data of different skin colors, face shapes, mouth shapes and different lipstick colors; divide the above picture data into data sets of different levels; use The k-means clustering method in machine learning divides the image in each data set into background, face, and mouth, extracts the RGB channel features of facial features, mouth features, and lipstick color, and constructs a feature matrix; BP neural network input layer, constructing a classification model based on BP neural network; classification model training; inputting the picture to be tested into the trained classification model, the classification model will be based on the extracted face and mouth features in the picture to be tested, Get the best output results for lipstick color matching. The disclosed technical solution establishes a corresponding classification model based on matching different facial features and lipstick colors, and the whole process is realized by information technology, which is fast and accurate.

Description

technical field [0001] The present disclosure relates to the technical field of machine learning applications, in particular to a method and system for recommending lipstick based on machine learning color matching. Background technique [0002] Lipstick color matching involves matching with face shape, lip shape and skin color. At present, when matching lipsticks, it is generally based on personal aesthetics. The manual selection of lipstick color is greatly affected by subjective factors, and different people have different judgment standards. In many cases, the selected color does not match the face shape, lip shape, and skin color, and there are large errors and lack of aesthetic feeling. How to maximize the balance of the aesthetics of all parties is the key problem faced by this technical solution. Therefore, it is necessary to intelligently analyze the matching of lipstick color matching with face shape, lip shape, and skin color to solve the best matching problem i...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/62G06N3/08G06Q30/02
Inventor 李爱民逄业文袁高腾王建文
Owner QILU UNIV OF TECH