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Fast real-time lip gloss makeup method

A makeup method and fast technology, applied in the field of lip gloss makeup, can solve problems such as increasing the amount of calculation and Gaussian blur, and achieve the effect of shortening time and ensuring efficiency

Active Publication Date: 2018-09-28
广州二元科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, since the probability map of the lip pixels is calculated through the color distribution each time, and there are multiple color space conversions and global image filtering (Gaussian blur, linear blur, mean blur, etc.), it will undoubtedly increase the amount of calculation in the implementation process.

Method used

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  • Fast real-time lip gloss makeup method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0032] combine figure 1 As shown, a fast and real-time lip gloss makeup method, the main core steps are as follows:

[0033] 1) Perform face recognition on the original image, and obtain the key points of the facial features, select the feature key points belonging to the lip contour among the key points, and divide them into upper lip and lower lip, and the number of feature points for the upper lip and lower lip is 11 respectively , 11.

[0034] 2) The original image is normalized (the original image is loaded in an integer RGB color space distribution), and linear normalization is mainly applied. The purpose of normalization is to make the pixel values ​​​​of the image distributed between 0.0 and 1.0. The application formula is as follows:

[0035] C=(A-MinValue) / (MaxValue-MinValue)

[0036] Among them, the value of MinValue is 0.0, and the value of MaxValue is 255.0

[0037] 3) Using the Douglas-Peucker algorithm (Douglas–Peucker algorithm) to obtain the fitting curves...

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Abstract

The invention relates to a fast real-time lip gloss makeup method. A mask image is reduced. Gaussian filtering is carried out, and then the original dimension is restored, so that the calculation timeis shortened and the calculation efficiency is improved. The enlarged mask image has the edge part with the better emergency effect; and thus the setting dimension can be reduced when Gaussian filterkernel setting is carried out, so that the execution efficiency is ensured. Meanwhile, the insufficient emergency is optimized after enlargement, so that the effect realization is ensured. Accordingto the invention, local part calculation of the image is carried out by using a minimum enclosing rectangle, thereby improving the execution efficiency, avoiding traversing of the original image pixelduring the calculation process, and saving the rest of calculation time. Multiplication is carried out on a weight value directly in an RGB channels in terms of lip gloss color changing; and the color adjustment and controlling become visual and clear. The actual represented color effect provided by the method is close to the color effect observed by the human eyes by adjusting the value of the RGB channel directly.

Description

technical field [0001] The invention relates to a fast and real-time lip gloss makeup method. Background technique [0002] In the overall technology of digital image makeup, the processing of lip gloss is particularly important. Firstly, the shapes of the lips on human faces are similar but different, and secondly, there are ever-changing lip lines on the lips. In order to achieve a more realistic effect during the makeup process, it is necessary to maintain and smooth the lip lines to achieve a balance. More natural and realistic makeup effect. [0003] Chinese Patent Application No. 201210100239.7 proposes a method for lip gloss makeup based on different lip morphological features. In this method, the classification method of classifying lips according to their morphological characteristics, the classification map of lips composed of coordinates generated according to the classification method, and the analysis of the shape of lips using the image plane and three-dimens...

Claims

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Application Information

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IPC IPC(8): G06T11/00G06T5/00
CPCG06T11/001G06T2207/30201G06T2207/10024G06T5/73
Inventor 容李庆袁亚荣罗杰林锴汤俊杰陈纯敏
Owner 广州二元科技有限公司
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