An automatic face acne removing method based on image inpainting model

A technology for repairing models and faces, applied in the field of image processing, can solve problems such as tedious time-consuming and long-time users, and achieve the effect of preserving skin quality, good user experience, and reducing the time for manual retouching.

Active Publication Date: 2019-02-15
GUANGZHOU YUNCONG ARTIFICIAL INTELLIGENCE TECH CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This method has a better effect on removing acne, but requires more user intervention. Obviously, for many cases of acne marks, it takes more time for users, which is cumbersome and time-consuming.

Method used

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  • An automatic face acne removing method based on image inpainting model
  • An automatic face acne removing method based on image inpainting model

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Embodiment Construction

[0028] The preferred embodiments of the present invention will be described in detail below with reference to the accompanying drawings, so that the advantages and features of the present invention can be more easily understood by those skilled in the art, and the protection scope of the present invention can be more clearly defined.

[0029] like figure 1 and figure 2 shown:

[0030] An automatic face removal method based on image inpainting model,

[0031] Take the following steps,

[0032] Step 1: Determine the position of the face in the picture, identify the face in the picture through the face detection module, locate the face range through the 68 key points of the face, and obtain a rectangular frame of the face range. The face key points can be used such as dlib The library has 68 key point location information;

[0033] Step 2: Determine the skin color range of the face, take the rectangular frame of the face range as the kernel, and construct a filling area alon...

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Abstract

The invention relates to a method for automatically removing human face pox based on an image inpainting model, which adopts the following steps: step 1, determining the human face position in a picture, recognizing the human face in the picture through a human face detection module, locating the human face range through 68 key points of the human face, and obtaining a rectangular frame of the human face range; 2, determine a human face skin color range, taking a rectangular frame of that human face range as a kernel, and construct a filling region along the periphery of the rectangular frameof the human face range; The RGB skin color detection algorithm is used to locate the skin color region, the contour filling method is used to fill each detected skin color region, and then the flooding filling method is used to lock the face skin color region. User experience is good, do not need user to specify the location of the pimple, the algorithm can be automatically completed to remove the pimple.

Description

technical field [0001] The invention relates to the field of image processing, in particular to an automatic face removal method based on an image restoration model. Background technique [0002] With the popularization of various video social entertainment software and beauty cameras, people pay more and more attention to the beautification of pictures after taking pictures. However, there are generally two ideas for skin acne removal: first, with the help of overall treatment methods such as microdermabrasion and whitening, the blemishes existing on the skin can be alleviated by increasing the threshold of these operations. This method does not fundamentally solve the problem. For cases where acne marks are more obvious or denser, the results after treatment are difficult to meet the requirements visually. [0003] Second, such as PS and beauty cameras, users need to manually specify the location of acne marks, and the algorithm removes acne by a method similar to the rep...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00
CPCG06T5/005G06T2207/10004G06T2207/10024G06T2207/20081G06T2207/20084G06T2207/30201
Inventor 周曦刘伸展
Owner GUANGZHOU YUNCONG ARTIFICIAL INTELLIGENCE TECH CO LTD
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