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Facial muscle feature point automatic marking method

A technology of automatic marking and feature points, applied in neural learning methods, computer components, diagnostic recording/measurement, etc., can solve problems such as the inability to actively analyze the user's muscle state

Pending Publication Date: 2021-06-11
CAL COMP BIG DATA INC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, the above-mentioned device can only assist the user in maintenance and makeup, but cannot actively analyze the user's current muscle state, and cannot let the user know whether the maintenance and makeup actions they have done are really effective

Method used

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  • Facial muscle feature point automatic marking method
  • Facial muscle feature point automatic marking method
  • Facial muscle feature point automatic marking method

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Embodiment Construction

[0087] A preferred embodiment of the present invention will be described in detail below in conjunction with the drawings.

[0088] see figure 1 and figure 2 ,in figure 1 It is the first specific embodiment of the schematic diagram of the facial image analysis device of the present invention, figure 2 It is the first specific embodiment of the block diagram of the facial image analysis device of the present invention.

[0089] The present invention discloses a method for automatically marking facial muscle feature points (hereinafter referred to as the marking method for short), and the marking method is mainly used in such as figure 1 , figure 2 The facial image analysis device 1 shown (hereinafter simply referred to as the analysis device 1 ) is shown. Specifically, the present invention mainly obtains the facial image of the user through the analysis device 1, and recognizes the facial image based on the pre-trained artificial intelligence model, and then marks the ...

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Abstract

The invention discloses a method for automatically marking facial muscle feature points, which is applied to a facial image analysis device and comprises the following steps of: collecting a to-be-recognized image containing the face of a user; executing a face recognition program on the to-be-recognized image to obtain a plurality of strong reference points on the face; performing fuzzy comparison on the to-be-recognized image based on a pre-trained training model and generating an recognition result; marking a plurality of muscle feature points on the to-be-recognized image according to the recognition result, wherein the plurality of muscle feature points respectively fall on a plurality of weak reference points on the face; and displaying the to-be-recognized image and the plurality of muscle feature points in an overlapping manner through a display unit. According to the invention, a plurality of muscle feature points for representing the facial muscle state can be automatically marked on the facial image of the user.

Description

technical field [0001] The invention relates to a marking method of a face, in particular to a marking method of muscle feature points of a face. Background technique [0002] Because human muscles (especially facial muscles) will gradually loosen and sag with age, some users will choose to use skin care products to maintain muscles and skin, and use cosmetics to cover up Relaxed muscles, or through sports, medical aesthetics and other means to slow down the occurrence of the above-mentioned relaxation and sagging. [0003] Generally speaking, the user will sit in front of the mirror for maintenance and makeup, or use a smart phone, a tablet computer or a special makeup auxiliary device to assist the maintenance and makeup actions in order to increase the speed. [0004] However, the above-mentioned device can only assist the user in maintenance and makeup, but cannot actively analyze the current muscle state of the user, and cannot let the user know whether the maintenance...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06K9/00G06K9/46G06K9/62
CPCG06T7/0012G06T2207/10004G06T2207/20081G06T2207/30004G06T2207/30201G06V40/172G06V40/168G06V10/507G06F18/24323G06V40/165G06V40/16A61B5/4519G06N3/08G06V40/171G06F18/214
Inventor 王鸿君
Owner CAL COMP BIG DATA INC
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