CN108937407A - A kind of Intelligent mirror making-up guidance method and system - Google Patents
A kind of Intelligent mirror making-up guidance method and system Download PDFInfo
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- CN108937407A CN108937407A CN201810517756.1A CN201810517756A CN108937407A CN 108937407 A CN108937407 A CN 108937407A CN 201810517756 A CN201810517756 A CN 201810517756A CN 108937407 A CN108937407 A CN 108937407A
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- A—HUMAN NECESSITIES
- A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
- A47G—HOUSEHOLD OR TABLE EQUIPMENT
- A47G1/00—Mirrors; Picture frames or the like, e.g. provided with heating, lighting or ventilating means
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/168—Feature extraction; Face representation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/168—Feature extraction; Face representation
- G06V40/171—Local features and components; Facial parts ; Occluding parts, e.g. glasses; Geometrical relationships
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/178—Human faces, e.g. facial parts, sketches or expressions estimating age from face image; using age information for improving recognition
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- Oral & Maxillofacial Surgery (AREA)
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- General Physics & Mathematics (AREA)
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- Computer Vision & Pattern Recognition (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
A kind of Intelligent mirror making-up guidance method and system of the present invention, the identity information of typing user establish the identity archives of user, according to the face and skin condition of user, recommend different dressings for user, select for user.After the dressing that user's selection is liked, cosmetic process is instructed step by step in order, verifies the makeup accuracy of user, the dressing effect of user is made to improve the makeup efficiency of user close to the dressing effect figure of system demonstration, save the time of user.
Description
Technical field
The invention belongs to Smart Home technical field more particularly to a kind of Intelligent mirror making-up guidance method and system.
Background technique
Present people increasingly focus on the external instrument of oneself, and many woman can devote a tremendous amount of time opposite daily
Mirror is made up.More of existing mirror has the function of mirror-reflection, sees oneself by mirror-reflection for people
Face and figure.When user is made up using mirror, making-up guidance cannot be carried out to user, user's cosmetic process cannot be reduced
In probability of failure, provide auxiliary for cosmetic process.
Summary of the invention
The technical problem to be solved in the present invention is that providing one kind for the drawbacks described above of prior art and passing through intelligence
Energy mirror carries out making-up guidance, simulates user's makeup effect picture, the Intelligent mirror for instructing user to make up according to user images
Adornment guidance method and system.
The technical solution adopted by the present invention to solve the technical problems is: a kind of Intelligent mirror making-up guidance method, including
Following steps:
Gender, the age information of typing user, acquires the face-image of user, establishes the identity archives of user;
The skin condition for analyzing user, judges age bracket locating for the current skin of user, compares, is recorded with the practical age
The archive information library of user;
When user uses Intelligent mirror, user identity is identified, enters making-up guidance mode after confirming user identity;
Recommend corresponding dressing effect image according to the skin condition of user and facial face;
The dressing effect image of different dressings is shown on user's face image;
User selects the dressing effect image liked, and starts process guidance of making up.
Wherein, the gender, age information of the typing user, acquires the face-image of user, establishes the identity of user
Archives, comprising:
The face-image of user is shot, acquires face feature point, for identification user identity;
After establishing the identity archives of user, user's pet name is set.
Wherein, the skin condition of the analysis user, judges age bracket locating for the current skin of user, with the practical age
Comparison, is recorded the archive information library of user, comprising:
Face-image under acquisition user's element face state determines the skin of user by the skin condition of network analysis user
Matter situation;
By age bracket locating for the current skin condition of system-computed user, carried out with the practical age of subscriber identity information
Comparison, judges the skin health situation of user;
According to the skin health situation of user, recommend corresponding skin care skill.
Wherein, when the user uses Intelligent mirror, user identity is identified, enters change after confirming user identity
Adornment instructional model, comprising: user identity is confirmed by way of face recognition.
Wherein, the dressing effect image that different dressings are shown on user's face image, comprising: acquisition user works as
Front face image shows makeup effect of the different types of dressing on the benchmark image using current face image as benchmark image
Fruit.
Wherein, the user selects the dressing effect image liked, and starts process guidance of making up, comprising:
Show the cosmetic product that the dressing makeup of user's selection needs;
Cosmetic process is shown step by step according to the sequence of makeup;
The cosmetic process of each step is explained and imparted knowledge to students;
Each step user of verification user image of making up is acquired, and the dressing effect figure shown with each step system carries out pair
Than the accuracy of makeup is compared in analysis, is instructed user;
The dressing effect figure that the final makeup image of user is shown with system is compared, by this makeup of user
Journey is stored into database.
A kind of Intelligent mirror making-up guidance system, including processor further include the information collection being electrically connected with processor
Module, identification module, search module, display module, analysis module, contrast module and memory module;The information acquisition module
For acquiring subscriber identity information and image information, collected information is stored in memory module;The identification module is used for
The user's head image information obtained when front mirror front is compared with the head image information in database, identifies the identity letter of user
Breath;Described search module, for the search makeup type from database;The display module is for showing and playing making-up guidance
Video and image;The analysis module is used to analyze the face of user and the dressing that blee is suitable;The contrast module is used
It is compared in the dressing effect figure of makeup image and the system simulation of acquisition user, analyzes the accurate journey of user's dressing effect
Degree;The memory module is used to store the data information of user and the computer program that can be run on the processor, described
The step of Intelligent mirror making-up guidance method described in any of the above item is realized when computer program is executed by the processor.
It wherein, further include timing module, for the makeup time of each step of counting user and total makeup time.
The invention has the benefit that a kind of Intelligent mirror making-up guidance method and system of the invention, collect user's
Identity information establishes identity archives for user.The face-image for acquiring user, judges the skin condition of user, recommends for user
A variety of dressings are selected for user.After the dressing that user's selection is liked, cosmetic process is instructed step by step in order, verification is used
The makeup accuracy at family makes the dressing effect of user close to the dressing effect figure of system demonstration, improves the makeup efficiency of user, section
The about time of user.
Detailed description of the invention
Fig. 1 is the flow embodiment schematic diagram of Intelligent mirror making-up guidance method of the present invention;
Fig. 2 is the detailed process embodiment schematic diagram of step S10 of the present invention;
Fig. 3 is the detailed process embodiment schematic diagram of step S20 of the present invention;
Fig. 4 is the detailed process embodiment schematic diagram of step S60 of the present invention;
Fig. 5 is structure of the invention block diagram embodiment schematic diagram;
Fig. 6 is another structural block diagram embodiment schematic diagram of the present invention.
In attached drawing: 1. information acquisition modules, 2. identification modules, 3. search modules, 4. processors, 5. display modules, 6. points
Analyse module, 7. contrast modules, 8. memory modules, 9. timing modules.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiment is only a part of the embodiments of the present invention, instead of all the embodiments.Base
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts it is all its
His embodiment, shall fall within the protection scope of the present invention.
Technical solution between each embodiment can be combined with each other, but must be with those of ordinary skill in the art's energy
It is enough realize based on, will be understood that the knot of this technical solution when conflicting or cannot achieve when occurs in the combination of technical solution
Conjunction is not present, also not the present invention claims protection scope within.
Referring to Fig.1, in the present embodiment, a kind of Intelligent mirror making-up guidance method, comprising the following steps:
S10: gender, the age information of typing user acquires the face-image of user, establishes the identity archives of user;
S20: analyzing the skin condition of user, judges age bracket locating for the current skin of user, compares with the practical age, note
Record the archive information library of user;
S30: when user uses Intelligent mirror, identifying user identity, enters making-up guidance after confirming user identity
Mode;
S40: corresponding dressing effect image is recommended according to the skin condition of user and facial face;
S50: the dressing effect image of different dressings is shown on user's face image;
S60: user selects the dressing effect image liked, and starts process guidance of making up.
Specifically, in the present embodiment, when carrying out making-up guidance using Intelligent mirror, after open system, for making for the first time
Gender, the age information of user typing user, acquires the face-image of user, establishes the identity archives of user.Acquisition
User's face image identifies the foundation of user identity as system is entered after user.The skin condition for analyzing user, judges to use
Age bracket locating for the current skin in family compares with the practical age, the archive information library of user is recorded.Pass through the user face of acquisition
Portion's image is analyzed the skin condition of user by the program of system, calculates the age of skin, is carried out pair with user's actual age
Than analyzing the skin care situation of user.When calculated user's skin is less than actual age, user's skin care is preferable;
When calculated user's skin is less than actual age, user's skin care situation is poor.The skin race of analysis user belongs to
Oily or dry skin analyze the colour of skin of user, analyze the skin health of user, are mentioned according to the skin of user
For the suggestion of some skin cares.Recommend the dressing for being suitble to user according to the skin condition of user and facial face, and will be after makeup
Effect image is shown in the user's face image of acquisition, forms virtual effect figure, is selected for user.According to dressing type
Difference, such as the difference of heavy make-up, light make-up, pure and fresh adornment, pseudo-classic adornment type shows makeup on the face-image of user respectively
Effect picture is selected for user.The dressing effect figure that user comes out according to system demonstration, selects the dressing liked, and starts makeup and refers to
It leads.
Referring to Fig. 2, further, gender, the age information of the step S10 typing user acquire the face of user
Image establishes the identity archives of user, comprising:
S11: shooting the face-image of user, acquires face feature point, for identification user identity;
S12: after establishing the identity archives of user, user's pet name is set.
In the present embodiment, when acquiring the information of user, the face-image of user is shot, acquires the facial characteristics of user
Point is acquired including shape of face, face and other face feature points to user, when as user's face image recognition according to
According to for determining the identity of user.Wherein, the mode of user identity, including password identification, fingerprint recognition, iris recognition are identified
The scope of the present invention is belonged to etc. unused authentication mode, it is in the present embodiment, preferential that face-image is selected to identify
Mode determines user identity.When establishing files on each of customers, the pet name of user in systems can be arranged according to the hobby of oneself in user.
Referring to Fig. 3, further, the skin condition of the step S20 analysis user judges locating for the current skin of user
Age bracket, with the practical age compare, the archive information library of user is recorded, comprising:
S21: the face-image under acquisition user's element face state determines user by the skin condition of network analysis user
Skin quality situation;
S22: the practical age by age bracket locating for the current skin condition of system-computed user, with subscriber identity information
It compares, judges the skin health situation of user;
S23: according to the skin health situation of user, recommend corresponding skin care skill.
In the present embodiment, the face-image acquired under user's element face state is analyzed, and the database in system is passed through
With the program of setting, skin quality situation of the calculating ratio to analysis user.Such as compared with the Asian standard colour of skin being arranged in system,
The colour of skin of analysis user belongs to partially white or partially black.The skin quality health status on analyzing skin surface and the fine and smooth degree of skin, according to
The changing rule of skin aging, age bracket locating for the current skin condition of analytical calculation user, the reality with subscriber identity information
Age compares.When calculated user's skin is less than actual age, user's skin care is preferable;As calculated user
When skin is less than actual age, user's skin care situation is poor, at this point, being pushed away according to the skin health situation of the user of user
Recommend corresponding skin care skill.
Further, when the user uses Intelligent mirror, user identity is identified, confirmation user identity is laggard
Enter making-up guidance mode, confirms user identity by way of face recognition in the present embodiment.
Further, the dressing effect image that different dressings are shown on user's face image, comprising: acquisition is used
Family current face image shows change of the different types of dressing on the benchmark image using current face image as benchmark image
Adornment effect.Or using the image of the confirmation user identity acquired before as benchmark image, confirm that the image of the identity of user is every
Certain interval of time, which resurveys, to be updated.
Referring to Fig. 4, further, the step S60 user selects the dressing effect image liked, and starts process of making up
Guidance, comprising:
S61: the cosmetic product that the dressing makeup of user's selection needs is shown;
S62: cosmetic process is shown step by step according to the sequence of makeup;
S63: the cosmetic process of each step is explained and is imparted knowledge to students;
S64: each step user of verification user image of making up is acquired, the dressing effect figure shown with each step system into
Row comparison, analysis are compared the accuracy of makeup, are instructed user;
S65: the dressing effect figure that the final makeup image of user is shown with system is compared, by this change of user
Adornment process is stored into database.
In the present embodiment, user selects the dressing liked, and system starts to carry out cosmetic process guidance and teaching.It will makeup
Process carries out step division according to the sequencing of makeup, successively shows each step of makeup.Before each step of making up starts,
The cosmetic product that the dressing makeup of user's selection needs successively is shown according to makeup sequence.It is shown step by step according to the sequence of makeup
Cosmetic process carries out makeup explanation by image and video, makes up for user's study and simulation.After each step,
The makeup image for acquiring user, compares with the dressing effect figure of step each in system, judges the accuracy of user's makeup, side
Just user is adjusted.After the completion of each makeup step, record user cosmetic process and last dressing effect image, storage
Into the Profile of user, learn for the later makeup of user.
Referring to Fig. 5, a kind of Intelligent mirror making-up guidance system, including processor 4 further include being electrically connected with processor 4
Information acquisition module 1, identification module 2, search module 3, display module 5, analysis module 6, contrast module 7 and memory module 8.
Collected information is stored in memory module for acquiring subscriber identity information and image information by the information acquisition module 1
8.Gender, the age information for acquiring user, acquire the face-image of user, establish the identity archives of user.The identification module 2
It is compared for user's head image information that front mirror front obtains will to be worked as with the head image information in database, identifies the body of user
Part information.Described search module 3 searches for user's happiness according to the difference of dressing classification for the search makeup type from database
Joyous dressing.The display module 5 is for showing and playing making-up guidance video and image.The analysis module 6 is for analyzing
The suitable dressing of the face and blee of user.The contrast module 7 is used to acquire makeup image and the system simulation of user
Dressing effect figure compare, analyze user's dressing effect order of accuarcy.The memory module 8 is used to store the money of user
Material information and the computer program that can be run on the processor 4, it is real when the computer program is executed by the processor 4
The step of Intelligent mirror making-up guidance method described in existing any of the above item.
Referring to Fig. 6, Intelligent mirror making-up guidance system further includes timing module 9, the makeup for each step of counting user
Time and total makeup time.After user's open system, calculate user this makeup the time and each step makeup when
Between, the setting makeup time in makeup also can be set, the time alarm user of setting is reached, when forgetting when preventing user from making up
Between, it devotes a tremendous amount of time and makes up.
A kind of Intelligent mirror making-up guidance method and system of the invention, collect the identity information of user, establish for user
Identity archives.The face-image for acquiring user, judges the skin condition of user, recommends a variety of dressings to select for user for user.
After the dressing that user's selection is liked, cosmetic process is instructed step by step in order, verifies the makeup accuracy of user, used
The dressing effect at family improves the makeup efficiency of user, saves the time of user close to the dressing effect figure of system demonstration.
Claims (8)
1. a kind of Intelligent mirror making-up guidance method, which comprises the following steps:
Gender, the age information of typing user, acquires the face-image of user, establishes the identity archives of user;
The skin condition for analyzing user, judges age bracket locating for the current skin of user, compares with the practical age, user is recorded
Archive information library;
When user uses Intelligent mirror, user identity is identified, enters making-up guidance mode after confirming user identity;
Recommend corresponding dressing effect image according to the skin condition of user and facial face;
The dressing effect image of different dressings is shown on user's face image;
User selects the dressing effect image liked, and starts process guidance of making up.
2. Intelligent mirror making-up guidance method according to claim 1, which is characterized in that the property of the typing user
Not, age information acquires the face-image of user, establishes the identity archives of user, comprising:
The face-image of user is shot, acquires face feature point, for identification user identity;
After establishing the identity archives of user, user's pet name is set.
3. Intelligent mirror making-up guidance method according to claim 1, which is characterized in that the skin of the analysis user
State judges age bracket locating for the current skin of user, compares with the practical age, the archive information library of user is recorded, comprising:
Face-image under acquisition user's element face state determines the skin quality feelings of user by the skin condition of network analysis user
Condition;
By age bracket locating for the current skin condition of system-computed user, carried out pair with the practical age of subscriber identity information
Than judging the skin health situation of user;
According to the skin health situation of user, recommend corresponding skin care skill.
4. Intelligent mirror making-up guidance method according to claim 1, which is characterized in that the user uses smart mirror
The period of the day from 11 p.m. to 1 a.m identifies user identity, enters making-up guidance mode after confirming user identity, comprising: pass through the side of face recognition
Formula confirms user identity.
5. Intelligent mirror making-up guidance method according to claim 1, which is characterized in that described in user's face image
The upper dressing effect image for showing different dressings, comprising: acquisition user's current face image is schemed on the basis of current face image
Picture shows dressing effect of the different types of dressing on the benchmark image.
6. Intelligent mirror making-up guidance method according to claim 1, which is characterized in that user's selection was liked
Dressing effect image starts process guidance of making up, comprising:
Show the cosmetic product that the dressing makeup of user's selection needs;
Cosmetic process is shown step by step according to the sequence of makeup;
The cosmetic process of each step is explained and imparted knowledge to students;
Each step user makeup image of verification user is acquired, and the dressing effect figure shown with each step system compares,
The accuracy of makeup is compared in analysis, is instructed user;
The dressing effect figure that the final makeup image of user is shown with system is compared, by user, this cosmetic process is deposited
It stores up in database.
7. a kind of Intelligent mirror making-up guidance system, which is characterized in that further include being electrically connected with processor including processor
Information acquisition module, identification module, search module, display module, analysis module, contrast module and memory module;The information
Collected information is stored in memory module for acquiring subscriber identity information and image information by acquisition module;The identification
Module is used to for the user's head image information obtained when front mirror front being compared with the head image information in database, identifies user
Identity information;Described search module, for the search makeup type from database;The display module is for showing and playing
Making-up guidance video and image;The analysis module is used to analyze the face of user and the dressing that blee is suitable;It is described right
The dressing effect figure that makeup image and system than module for acquiring user are simulated compares, analysis user's dressing effect
Order of accuarcy;The memory module is used to store the data information of user and the computer journey that can be run on the processor
Sequence realizes such as Intelligent mirror described in any one of claims 1 to 6 when the computer program is executed by the processor
The step of adornment guidance method.
8. Intelligent mirror control system according to claim 7, which is characterized in that further include timing module, for counting
The makeup time of each step of user and total makeup time.
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Cited By (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110135333A (en) * | 2019-05-13 | 2019-08-16 | Oppo广东移动通信有限公司 | Making-up guidance method, apparatus, terminal and computer readable storage medium |
CN111339804A (en) * | 2018-12-19 | 2020-06-26 | 北京奇虎科技有限公司 | Automatic makeup method, device and system |
CN111968248A (en) * | 2020-08-11 | 2020-11-20 | 深圳追一科技有限公司 | Intelligent makeup method and device based on virtual image, electronic equipment and storage medium |
CN112364713A (en) * | 2020-10-22 | 2021-02-12 | 深圳大学 | Intelligent makeup suggestion method and system |
CN112733007A (en) * | 2019-10-14 | 2021-04-30 | 小卫(上海)生物科技有限公司 | Intelligent makeup method and makeup mirror |
CN113450248A (en) * | 2020-08-24 | 2021-09-28 | 北京新氧科技有限公司 | Image-based operation guiding method, device, equipment and readable storage medium |
CN116486054A (en) * | 2023-06-25 | 2023-07-25 | 四川易景智能终端有限公司 | AR virtual cosmetic mirror and working method thereof |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105455522A (en) * | 2015-11-30 | 2016-04-06 | 深圳市欧蒙设计有限公司 | Intelligent cosmetic mirror |
CN106108523A (en) * | 2016-08-22 | 2016-11-16 | 陈云 | A kind of portable intelligent cosmetic mirror, cosmetic aid system and method |
CN106937791A (en) * | 2017-04-22 | 2017-07-11 | 中山市庭升塑胶制品有限公司 | A kind of intelligent cosmetic beauty instrument and its intelligent tutoring system |
CN107380063A (en) * | 2017-05-24 | 2017-11-24 | 戴姆勒股份公司 | In-car vanity mirror system |
CN107820591A (en) * | 2017-06-12 | 2018-03-20 | 美的集团股份有限公司 | Control method, controller, Intelligent mirror and computer-readable recording medium |
CN108062400A (en) * | 2017-12-25 | 2018-05-22 | 深圳市美丽控电子商务有限公司 | Examination cosmetic method, smart mirror and storage medium based on smart mirror |
-
2018
- 2018-05-25 CN CN201810517756.1A patent/CN108937407A/en active Pending
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105455522A (en) * | 2015-11-30 | 2016-04-06 | 深圳市欧蒙设计有限公司 | Intelligent cosmetic mirror |
CN106108523A (en) * | 2016-08-22 | 2016-11-16 | 陈云 | A kind of portable intelligent cosmetic mirror, cosmetic aid system and method |
CN106937791A (en) * | 2017-04-22 | 2017-07-11 | 中山市庭升塑胶制品有限公司 | A kind of intelligent cosmetic beauty instrument and its intelligent tutoring system |
CN107380063A (en) * | 2017-05-24 | 2017-11-24 | 戴姆勒股份公司 | In-car vanity mirror system |
CN107820591A (en) * | 2017-06-12 | 2018-03-20 | 美的集团股份有限公司 | Control method, controller, Intelligent mirror and computer-readable recording medium |
CN108062400A (en) * | 2017-12-25 | 2018-05-22 | 深圳市美丽控电子商务有限公司 | Examination cosmetic method, smart mirror and storage medium based on smart mirror |
Cited By (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111339804A (en) * | 2018-12-19 | 2020-06-26 | 北京奇虎科技有限公司 | Automatic makeup method, device and system |
CN110135333A (en) * | 2019-05-13 | 2019-08-16 | Oppo广东移动通信有限公司 | Making-up guidance method, apparatus, terminal and computer readable storage medium |
CN112733007A (en) * | 2019-10-14 | 2021-04-30 | 小卫(上海)生物科技有限公司 | Intelligent makeup method and makeup mirror |
CN112733007B (en) * | 2019-10-14 | 2023-05-05 | 小卫(上海)生物科技有限公司 | Intelligent cosmetic method and cosmetic mirror |
CN111968248A (en) * | 2020-08-11 | 2020-11-20 | 深圳追一科技有限公司 | Intelligent makeup method and device based on virtual image, electronic equipment and storage medium |
CN113450248A (en) * | 2020-08-24 | 2021-09-28 | 北京新氧科技有限公司 | Image-based operation guiding method, device, equipment and readable storage medium |
CN112364713A (en) * | 2020-10-22 | 2021-02-12 | 深圳大学 | Intelligent makeup suggestion method and system |
CN116486054A (en) * | 2023-06-25 | 2023-07-25 | 四川易景智能终端有限公司 | AR virtual cosmetic mirror and working method thereof |
CN116486054B (en) * | 2023-06-25 | 2023-09-12 | 四川易景智能终端有限公司 | AR virtual cosmetic mirror and working method thereof |
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