CN108363965A - A kind of distributed face state appraisal procedure - Google Patents

A kind of distributed face state appraisal procedure Download PDF

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Publication number
CN108363965A
CN108363965A CN201810084750.XA CN201810084750A CN108363965A CN 108363965 A CN108363965 A CN 108363965A CN 201810084750 A CN201810084750 A CN 201810084750A CN 108363965 A CN108363965 A CN 108363965A
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China
Prior art keywords
face
detection zone
user
image
skin
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CN201810084750.XA
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Chinese (zh)
Inventor
陈碧
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Hangzhou Mei Jie Technology Co Ltd
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Hangzhou Mei Jie Technology Co Ltd
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Priority to CN201810084750.XA priority Critical patent/CN108363965A/en
Publication of CN108363965A publication Critical patent/CN108363965A/en
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16Human faces, e.g. facial parts, sketches or expressions
    • G06V40/168Feature extraction; Face representation
    • G06V40/171Local features and components; Facial parts ; Occluding parts, e.g. glasses; Geometrical relationships
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/40Extraction of image or video features
    • G06V10/56Extraction of image or video features relating to colour

Abstract

The invention discloses a kind of distributed face state appraisal procedures, belong to Skin Detection field;Method includes:The facial image of user's face is obtained using an image collecting device, and as image to be detected, and image to be detected is uploaded in the control server remotely being connect with image collecting device;Control server identifies to obtain all facial skin characteristic points in image to be detected, and each first detection zone is positioned according to facial skin characteristic point, positioning each of is obtained the image in the first detection zone according to label and is sent in corresponding execute server by distribution module;Corresponding execute server carries out skin state assessment to the image in the first detection zone of reception, and exports in assessment result to control server;All assessment results are issued to the user terminal of long-range connection control server by control server, so that user checks;The advantageous effect of above-mentioned technical proposal is:It is supplied to that user is rapid, efficient skin test service, user experience is good, the power consumption dispersion of generation.

Description

A kind of distributed face state appraisal procedure
Technical field
The present invention relates to Skin Detection field more particularly to a kind of distributed face state appraisal procedures.
Background technology
With the promotion of people's quality of the life, more and more people especially women begins to focus on the skin of itself, More and more maintenance products for skin also occupy very important status on the market.Wherein, women is especially The skin of face can be paid close attention to, such as whether canthus has whether wrinkle, face have decree line etc., and can be according to these skins Situation selection uses different maintenance products.
It is current in the market, although there are some skin detection equipment, such as skin detection instrument etc., these skins inspection The price of measurement equipment is more expensive, and operate it is extremely complex, be not suitable for user use at home.Meanwhile this kind of skin detection The different zones that equipment can not accurately distinguish skin detect some distinctive skin problems in these regions, so as to cause skin Testing result is more general, can not accurate response user's skin time of day.
Although having there are some skin detection products at present, more accurate, various testing result can be formed, But this detection speed is slower, needs the time that user waits for more long, greatly affected user experience, the work(of product consumption Consumption is concentrated mainly on independent processing apparatus.
Invention content
According to the above-mentioned problems in the prior art, a kind of technical solution of face state appraisal procedure, purport are now provided In the face state assessment result for being supplied to user comprehensive and accurate, user is helped to grasp face state at any time, and realize letter Single, detect and assess process is not necessarily to professional equipment, reduces detection threshold.
Above-mentioned technical proposal specifically includes:
A kind of distributed face state appraisal procedure, wherein in multiple facial skin characteristic points are arranged in human face region, And all facial skin characteristic points are divided into for positioning in different multiple first detection zones, each described first Detection zone be used to assess a skin condition of face, and be respectively set one for each first detection zone Execute server, each execute server are separately connected the same control server, are provided in the control server It is stored with label corresponding with each execute server in one distribution module and the distribution module, further includes:
Step S1 obtains the facial image of user's face using an image collecting device, and as image to be detected, and will Described image to be detected is uploaded in the control server remotely being connect with described image harvester;
Step S2, the control server identify to obtain all facial skin features in described image to be detected Point, and each first detection zone is positioned according to the facial skin characteristic point, the distribution module is according to institute It states label positioning each of is obtained into the image in first detection zone and be sent in the corresponding execute server;
Step S3, the corresponding execute server carry out skin shape to the image in first detection zone of reception State is assessed, and is exported in assessment result to the control server;
Step S4, all assessment results are issued to by the control server remotely connects the control server User terminal, so that user checks.
Preferably, face state appraisal procedure, wherein described image harvester is arranged on a vanity mirror, and even Connect the communication device being set in the vanity mirror;
The vanity mirror remotely connects the control server by the communication device, and will by the communication device The facial image that described image harvester collects is uploaded in the control server.
Preferably, face state appraisal procedure, wherein first detection zone includes one for user's face The oil detection zone that skin oil state is assessed;
The oil detection zone further comprises:
The forehead region of user's face;And/or
The left cheek region of user's face;And/or
The right cheek region of user's face;And/or
The chin area of user's face.
Preferably, face state appraisal procedure, wherein first detection zone includes one for user's face The cleannes detection zone that skin clean conditions are assessed;
The cleannes detection zone further comprises:
The nasal area of user's face;And/or
The full face region of user's face.
Preferably, face state appraisal procedure, wherein the assessment result packet of the corresponding cleannes detection zone It includes:
The first sub- result of assessment for the skin cleannes for indicating the nasal area;And/or
For indicating whether the full face region has the sub- result of remaining second assessment of color make-up;And/or
For indicating whether the full face region has the third of fluorescence to assess sub- result.
Preferably, face state appraisal procedure, wherein first detection zone includes one for user's face The allergy detection zone that skin allergy state is assessed;
The allergy detection zone further comprises:
The left cheek region of user's face;And/or
The right cheek region of user's face.
Preferably, face state appraisal procedure, wherein first detection zone includes one for user's face The color spot detection zone that skin splash state is assessed;
The color spot detection zone further comprises:
The full face region of user's face.
Preferably, face state appraisal procedure, wherein each execute server includes that a training in advance is formed Assessment models;
Using deep neural network, according to pre-set multiple training datas to assessing the assessment models;
Each training data centering includes image in corresponding first detection zone and is directed to the figure The assessment result of picture.
Preferably, face state appraisal procedure, wherein further include one second detection zone, second detection zone It is assessed for the skin complexion state to user's face;
In the step S3, the corresponding execute server carries out the image in first detection zone of reception While skin state assessment, second detection zone is assessed, and export corresponding assessment result;
In the step S4, all assessment results that the execute server exports are issued to far by the control server Journey connects the user terminal of the Cloud Server, so that user checks;
Second detection zone further comprises:
The left cheek region of user's face and the right cheek region of user's face.
Preferably, face state appraisal procedure, wherein in the step S3, second detection zone is commented The process estimated specifically includes:
Step S31, processing obtain the rgb value of each pixel of the left cheek region, and processing obtains the right face The rgb value of each pixel in buccal region domain;
Step S32, according to each pixel of the rgb value of each pixel of the left cheek region and the right cheek region Rgb value carry out average computation, to obtain a colour of skin numerical value;
Step S33 inquires the colour of skin numerical value according to preset colour of skin numerical value tables, to obtain being used for table Show the assessment result of user colour and exports.
The advantageous effect of above-mentioned technical proposal is:A kind of face state appraisal procedure is provided, be capable of providing it is rapid to user, Efficient skin test service, user experience is good, the power consumption dispersion of generation.
Description of the drawings
Fig. 1 is in the preferred embodiment of the present invention, and a kind of overall procedure of distributed face state appraisal procedure shows It is intended to;
Fig. 2-7 is the schematic diagram of the different detection zones in human face region in the preferred embodiment of the present invention;
Fig. 8 is the tool assessed using the second detection zone of execute server pair in the preferred embodiment of the present invention Body flow diagram.
Specific implementation mode
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 describes, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on Embodiment in the present invention, those of ordinary skill in the art obtained under the premise of not making creative work it is all its His embodiment, shall fall within the protection scope of the present invention.
It should be noted that in the absence of conflict, the feature in embodiment and embodiment in the present invention can phase Mutually combination.
The invention will be further described in the following with reference to the drawings and specific embodiments, but not as limiting to the invention.
According to the above-mentioned problems in the prior art, a kind of distributed face state appraisal procedure, the party are now provided In method, first in multiple facial skin characteristic points are arranged in human face region, and all facial skin characteristic points is divided into and are used for It positions in different multiple detection zones, each detection zone be used to assess a skin condition of face, and for every An execute server is respectively set in a detection zone, and each execute server is separately connected the same control server, control It is provided in server in a distribution module and distribution module and is stored with label corresponding with each execute server.
This method is specifically as shown in fig. 1, including:
Step S1 obtains the facial image of user's face using an image collecting device, and as image to be detected, and will Image to be detected is uploaded in the control server remotely being connect with image collecting device;
Step S2, control server identify to obtain all facial skin characteristic points in image to be detected, and according to face Skin characteristic point positions each first detection zone, and positioning each of is obtained the first detection by distribution module according to label Image in region is sent in corresponding execute server;
Step S3, corresponding execute server carry out skin state assessment to the image in the first detection zone of reception, And it exports in assessment result to control server;
All assessment results are issued to the user terminal of long-range connection control server by step S4, control server, with It is checked for user.
Specifically, in the present embodiment, during skin state assessment, the mistake of skin information acquisition is first carried out Journey during being somebody's turn to do, the facial image of user's face is obtained using an image collecting device, and as in image to be detected It reaches in the control server for remotely connecting the image collecting device.Above-mentioned facial image be face general image, more into It is one step the general image of front face, the image of front face may insure the accuracy of skin state assessment.
In the present embodiment, after above-mentioned control server gets facial image, according to preset facial skin feature before Facial image is identified in point, to be divided to facial image according to obtained facial skin characteristic point is identified, to Form the first multiple and different detection zones.Specifically, preset facial skin characteristic point has 68 in the present invention, is distributed feelings Condition refers to Fig. 2.Control server is identified from the facial image obtains all preset facial feature points, to form as in Fig. 2 Shown in the characteristic image that is formed by facial feature points.
Also, control server according to be located at features described above image in all facial feature points to entire characteristic image into Row divides, and to form multiple first detection zones, the first different detection zones is supplied to different execute servers to skin Skin state is detected and assesses.
Be respectively divided on facial image after forming each first detection zone, control server in distribution module according to Positioning each of is obtained the image in first detection zone and is sent in corresponding execute server by label, receives figure The image that the execute server of picture is then directed to corresponding first detection zone is assessed, and uniform business is accused to export assessment result In device.Each assessment result is sent to the user terminal of long-range connection Cloud Server by control server, to complete face's skin The assessment of skin state.
In the preferred embodiment of the present invention, the function of skin assessment in order to facilitate the use of the user, by above-mentioned Image Acquisition Device is arranged on a vanity mirror.When user uses vanity mirror, so that it may to pass through the face of image acquisition device user Image.
Further, above-mentioned image collecting device can be a camera, i.e., camera is mounted on vanity mirror, with User's face is shot, facial image is obtained.
Further, in order to which facial image is uploaded to control server, should also be arranged inside above-mentioned vanity mirror One communication device, above-mentioned image collecting device connecting communication device, and uploaded above-mentioned facial image by communication device Into control server.Specifically, above-mentioned communication device can be the wireless communication module being built in inside vanity mirror, and lead to It crosses indoor router and is connected to long-range control server.
In the preferred embodiment of the present invention, each not phase of the type of the skin assessment corresponding to the first different detection zones Together, specific as follows:
1) the first detection zone includes an oil detection zone for being assessed the skin oil state of user's face Domain;
Oil detection zone further comprises one or more described below:
The forehead region of user's face;
The left cheek region of user's face;
The right cheek region of user's face;
The chin area of user's face.
Above-mentioned oil detection zone is specifically as shown in Figure 4, wherein 1 region is forehead region, 2 regions are left cheek area Domain, 3 regions are right cheek region, and 4 regions are chin area.These regions in Fig. 4 are all that face is easiest to fuel-displaced part, The skin oil state of face can be assessed by the detect and assess to these regions.
Further, during actually detected, any one in above-mentioned zone or several regions can be selected Constitute oil detection zone, or the order of accuarcy of detection selects all above-mentioned zones to constitute oil detection zones, comes The skin oil state of face is detected and is assessed.
2) the first detection zone includes that the cleannes for being assessed the skin clean conditions of user's face detect Region;
Cleannes detection zone further comprises one or more described below:
The nasal area of user's face;
The full face region of user's face.
Above-mentioned cleannes detection zone is specifically as shown in Figure 5, wherein 1 region is nasal area, full face region is as whole The facial image of body, in Figure 5 without mark.It can be to face by the detect and assess to these regions in Fig. 5 Skin cleannes state is assessed.
Further, during actually detected, any one region in above-mentioned zone can be selected to constitute cleaning Spend detection zone, or the order of accuarcy of detection selects all above-mentioned zones to constitute cleannes detection zones, to face The skin cleannes state in portion is detected and assesses.
Further, the assessment result of corresponding cleannes detection zone includes for indicating that the skin of nasal area cleans The first sub- result of assessment of degree;And/or for indicating whether full face region has the sub- result of remaining second assessment of color make-up;And/or For indicating whether full face region has the third of fluorescence to assess sub- result.
Specifically, cleannes assessment is always divided into three parts:First part is the cleannes assessment of nasal portion image, i.e., The sub- result of above-mentioned first assessment;Second part is the color make-up residue detection of full face's partial image, i.e., it is above-mentioned second assessment son as a result, When the second sub- result of assessment indicates color make-up residual alarm can be carried out to user terminal by controlling server;Third Part is the fluoroscopic examination of full face's partial image, i.e., above-mentioned third assessment indicates that face has as a result, assessing sub- result when third When fluorescence alarm can be carried out to user terminal by controlling server.
Since cleannes detection is divided into three parts, the execute server for corresponding to cleannes detection zone should also be as Including three units, that is, corresponds to the first execute server unit of the first sub- result of assessment, corresponds to the second sub- result of assessment The second execute server unit and the third execute server unit of sub- result is assessed corresponding to third.Above-mentioned first executes clothes Business device unit, the formation of the second execute server unit and third execute server unit and operation principle and other execute service Device is identical, can hereinafter be described in detail.
3) the first detection zone includes an allergy detection zone for being assessed the skin allergy state of user's face Domain;
Allergy detection zone further comprises one or several kinds hereinafter:
The left cheek region of user's face;
The right cheek region of user's face.
Above-mentioned allergy detection zone is specifically as shown in Figure 6, wherein 1 region is left cheek region, 2 regions are right cheek area Domain.The skin allergy state of face can be assessed by the detect and assess to these regions in Fig. 6.
Further, during actually detected, any one region in above-mentioned zone can be selected to constitute allergy Detection zone, or the order of accuarcy of detection selects all above-mentioned zones to constitute allergy detection zones, to face Skin allergy state is detected and assesses.
Further, it during actually detected, needs to carry out the red blood silk image of left cheek and/or right cheek It detects to assess skin allergy state, that is, the input data for corresponding to the above-mentioned execute server of allergy detection zone is left cheek The red blood silk image of region and/or right cheek region.
4) the first detection zone includes a color spot detection zone for being assessed the skin splash state of user's face Domain;
Color spot detection zone further comprises the full face region of user's face.
Specifically, as shown in Figure 7, above-mentioned color spot detection zone includes the full face region in facial image, but its is heavy Point detection zone is the above eyes of cheekbone position below, i.e. 1 region and 2 regions in Fig. 7.In other words, 1 region and 2 regions Weight of the result of detect and assess in whole color spot assessment result is relatively high, and the proportion in remaining full face region is relatively low.Pass through Above-mentioned detection and evaluation can be detected and assess to the skin splash state of face.
In the preferred embodiment of the present invention, each execute server includes the assessment models that training is formed in advance;
Using deep neural network, according to pre-set multiple training datas to assessing assessment models;
Each training data centering includes the image in corresponding first detection zone and the assessment knot for the image Fruit.
Specifically, in the present embodiment, the assessment result of above-mentioned training data centering can be the assessment score manually marked.
By taking skin oil is assessed as an example, training is corresponding to the assessment models in the first execute server of oil detection zone Each training data centering include an above-mentioned oil detection zone image, and for the image manually mark comment Estimate score, which is ultimately formed by the training of multiple training datas pair.
Again by taking skin allergy is assessed as an example, training is corresponding to the assessment mould in the first execute server of allergy detection zone Each training data centering of type includes the image of an above-mentioned allergy detection zone, and manually marking for the image Score is assessed, which is ultimately formed by the training of multiple training datas pair.
In the present embodiment, corresponds to the first execute server unit of above-mentioned cleannes detection zone, second executes service Assessment models in device unit and third execute server unit train to be formed also according to aforesaid way, specially:
The training data centering of first execute server unit includes the image of an above-mentioned nasal area, and being directed to should Image manually mark for indicating the whether clean assessment score of nasal portion;
The training data centering of second execute server unit includes the image in an above-mentioned full face region, and being directed to should Image manually mark for indicating whether whole-face detection has the remaining assessment result of color make-up, the assessment result that can directly be The judging result of "Yes" or "No", without being indicated with specific score numerical value.Further, only when second executes clothes When the assessment result of business device unit output is "Yes", control server just issues assessment result to user terminal, i.e., whole to user Hold alarm.
The training data centering of third execute server unit includes the image in an above-mentioned full face region, and being directed to should Image manually mark for indicating the assessment result of full face fluoroscopic examination, the assessment result equally can be "Yes" or The judging result of "No", without being indicated with specific score numerical value.Further, only when third execute server unit When the assessment result of output is "Yes", control server just issues assessment result to user terminal, i.e., is carried to user terminal alarm Show.
In the preferred embodiment of the present invention, in the above method, one second detection zone is set also on facial image, it should Second detection zone specifically includes the left cheek area of user's face for assessing the skin complexion state of user's face The right cheek region of domain and user's face.
The facial feature points that above-mentioned second detection zone is equally obtained by above-mentioned identification, which divide, to be formed, formed principle with Above-mentioned first detection zone is identical, and details are not described herein.
Specifically, above-mentioned second detection zone is overlapped with allergy detection zone shown in Fig. 6, i.e. 1 region indicates left face Buccal region domain, 2 regions indicate right cheek region.Therefore skin tone detection region is equally indicated using Fig. 6.
The detection of above-mentioned second detection zone is carried out using the second execute server, i.e. it is corresponding in above-mentioned steps S3 While execute server carries out skin state assessment to the image in first detection zone of reception, to the second detection zone Domain is assessed, and exports corresponding assessment result;
In above-mentioned steps S4, assessment result and the second execute server that control server exports the first execute server The assessment result of output is issued to the user terminal of long-range connection control server, so that user checks.
Further, in preferred embodiment of the invention, in above-mentioned steps S3, the second detection zone is assessed Process is specifically as shown in Figure 8, including:
Step S31, processing obtain the rgb value of each pixel of left cheek region, and processing obtains right cheek region The rgb value of each pixel;
Step S32, according to the rgb value of each pixel of the rgb value of each pixel of left cheek region and right cheek region Average computation is carried out, to obtain a colour of skin numerical value;
Step S33 inquires colour of skin numerical value according to preset colour of skin numerical value tables, to obtain for indicating to use The assessment result of the family colour of skin and output.
Specifically, in the present embodiment, above-mentioned second execute server is different from the first execute server, not according to instruction Practice the assessment models of formation to be detected the second detection zone, but according to the rgb value of each pixel of left cheek region Average computation, which is carried out, with the rgb value of each pixel of right cheek region obtains above-mentioned assessment result.
In one embodiment of the present of invention, as mentioned above it is possible, in above-mentioned steps S4, control server can be selected institute There is the assessment result for the assessment result and the output of the second execute server that the first execute server exports all to be issued to user Terminal, so that user checks.
In an alternative embodiment of the invention, in above-mentioned steps S4, control server can integrate all first and execute clothes The assessment result of business device output, and it is issued to user terminal together with the assessment result of the second execute server output, for User checks.In the present embodiment, the mode that the assessment result setting weighted value for each first execute server may be used is come A total evaluation is obtained according to the assessment result weighted calculation of all first execute servers as a result, and holding it together with second The assessment result of row server output is issued to user terminal together.It should be noted that the above-mentioned second sub- result of evaluation and the The three sub- results of evaluation are not involved in weighted calculation, need individually to be issued to user terminal due to not being score numeric form.
In an alternative embodiment of the invention, in above-mentioned steps S4, control server can also integrate all first and execute The assessment result of server output and the assessment result of the second execute server output, the meter equally by the way of weighted calculation Calculation obtains a total evaluation result and is issued to user terminal.Similarly, the sub- result of above-mentioned second evaluation and third evaluation As a result due to not being score numeric form, it is not involved in weighted calculation, needs individually to be issued to user terminal.
The foregoing is merely preferred embodiments of the present invention, are not intended to limit embodiments of the present invention and protection model It encloses, to those skilled in the art, should can appreciate that all with made by description of the invention and diagramatic content Equivalent replacement and obviously change obtained scheme, should all be included within the scope of the present invention.

Claims (10)

1. a kind of distributed face state appraisal procedure, which is characterized in that special in multiple facial skins are arranged in human face region Point is levied, and all facial skin characteristic points are divided into for positioning in different multiple first detection zones, Mei Gesuo The skin condition that the first detection zone be used to assess face is stated, one is respectively set for each first detection zone A execute server, each execute server are separately connected the same control server, are arranged in the control server Have and be stored with label corresponding with each execute server in a distribution module and the distribution module, further includes:
Step S1 obtains the facial image of user's face using an image collecting device, and as image to be detected, and will be described Image to be detected is uploaded in the control server remotely being connect with described image harvester;
Step S2, the control server identify to obtain all facial skin characteristic points in described image to be detected, and Each first detection zone is positioned according to the facial skin characteristic point, the distribution module is according to the label Positioning each of is obtained the image in first detection zone to be sent in the corresponding execute server;
Step S3, the corresponding execute server carry out skin condition to the image in first detection zone of reception and comment Estimate, and exports in assessment result to the control server;
All assessment results are issued to the user for remotely connecting the control server by step S4, the control server Terminal, so that user checks.
2. face state appraisal procedure as described in claim 1, which is characterized in that the setting of described image harvester is changed one On adornment mirror, and the communication device being connected in the vanity mirror;
The vanity mirror remotely connects the control server by the communication device, and will be described by the communication device The facial image that image acquisition device obtains is uploaded in the control server.
3. face state appraisal procedure as described in claim 1, which is characterized in that first detection zone is used for including one The oil detection zone that the skin oil state of user's face is assessed;
The oil detection zone further comprises:
The forehead region of user's face;And/or
The left cheek region of user's face;And/or
The right cheek region of user's face;And/or
The chin area of user's face.
4. face state appraisal procedure as described in claim 1, which is characterized in that first detection zone is used for including one The cleannes detection zone that the skin clean conditions of user's face are assessed;
The cleannes detection zone further comprises:
The nasal area of user's face;And/or
The full face region of user's face.
5. face state appraisal procedure as claimed in claim 4, which is characterized in that the institute of the corresponding cleannes detection zone Stating assessment result includes:
The first sub- result of assessment for the skin cleannes for indicating the nasal area;And/or for indicating the areas Quan Lian Whether domain has the sub- result of remaining second assessment of color make-up;And/or
For indicating whether the full face region has the third of fluorescence to assess sub- result.
6. face state appraisal procedure as described in claim 1, which is characterized in that first detection zone is used for including one The allergy detection zone that the skin allergy state of user's face is assessed;
The allergy detection zone further comprises:
The left cheek region of user's face;And/or
The right cheek region of user's face.
7. face state appraisal procedure as described in claim 1, which is characterized in that first detection zone is used for including one The color spot detection zone that the skin splash state of user's face is assessed;
The color spot detection zone further comprises:
The full face region of user's face.
8. face state appraisal procedure as described in claim 1, which is characterized in that each execute server includes one The assessment models that training is formed in advance;
Using deep neural network, according to pre-set multiple training datas to assessing the assessment models;
Each training data centering includes image in corresponding first detection zone and for described image Assessment result.
9. face state appraisal procedure as described in claim 1, which is characterized in that further include one second detection zone, it is described Second detection zone is for assessing the skin complexion state of user's face;
In the step S3, the corresponding execute server carries out skin to the image in first detection zone of reception While status assessment, second detection zone is assessed, and export corresponding assessment result;
In the step S4, all assessment results that the execute server exports are issued to by the control server remotely to be connected The user terminal for connecing the Cloud Server, so that user checks;
Second detection zone further comprises:
The left cheek region of user's face and the right cheek region of user's face.
10. face state appraisal procedure as claimed in claim 9, which is characterized in that in the step S3, to second inspection The process that region is assessed is surveyed to specifically include:
Step S31, processing obtain the rgb value of each pixel of the left cheek region, and processing obtains the right cheek area The rgb value of each pixel in domain;
Step S32, according to each pixel of the rgb value of each pixel of the left cheek region and the right cheek region Rgb value carries out average computation, to obtain a colour of skin numerical value;
Step S33 inquires the colour of skin numerical value according to preset colour of skin numerical value tables, to obtain for indicating to use The assessment result of the family colour of skin simultaneously exports.
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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110084815A (en) * 2019-06-03 2019-08-02 上海孚锐思医疗器械有限公司 The method that skin allergy decision-making system and skin allergy determine

Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103152476A (en) * 2013-01-31 2013-06-12 广东欧珀移动通信有限公司 Mobile phone capable of detecting skin state and use method thereof
CN104586364A (en) * 2015-01-19 2015-05-06 武汉理工大学 Skin detection system and method
CN104732214A (en) * 2015-03-24 2015-06-24 吴亮 Quantification skin detecting method based on face image recognition
CN104887183A (en) * 2015-05-22 2015-09-09 杭州雪肌科技有限公司 Intelligent skin health monitoring and pre-diagnosis method based on optics
CN105101836A (en) * 2013-02-28 2015-11-25 松下知识产权经营株式会社 Makeup assistance device, makeup assistance method, and makeup assistance program
CN105120747A (en) * 2013-04-26 2015-12-02 株式会社资生堂 Skin darkening evaluation device and skin darkening evaluation method
CN106388781A (en) * 2016-09-29 2017-02-15 深圳可思美科技有限公司 Method for detecting skin colors and pigmentation situation of skin
CN107157447A (en) * 2017-05-15 2017-09-15 精诚工坊电子集成技术(北京)有限公司 The detection method of skin surface roughness based on image RGB color
CN107184023A (en) * 2017-07-18 2017-09-22 上海勤答信息科技有限公司 A kind of Intelligent mirror
CN107437073A (en) * 2017-07-19 2017-12-05 竹间智能科技(上海)有限公司 Face skin quality analysis method and system based on deep learning with generation confrontation networking

Patent Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103152476A (en) * 2013-01-31 2013-06-12 广东欧珀移动通信有限公司 Mobile phone capable of detecting skin state and use method thereof
CN105101836A (en) * 2013-02-28 2015-11-25 松下知识产权经营株式会社 Makeup assistance device, makeup assistance method, and makeup assistance program
CN105120747A (en) * 2013-04-26 2015-12-02 株式会社资生堂 Skin darkening evaluation device and skin darkening evaluation method
CN104586364A (en) * 2015-01-19 2015-05-06 武汉理工大学 Skin detection system and method
CN104732214A (en) * 2015-03-24 2015-06-24 吴亮 Quantification skin detecting method based on face image recognition
CN104887183A (en) * 2015-05-22 2015-09-09 杭州雪肌科技有限公司 Intelligent skin health monitoring and pre-diagnosis method based on optics
CN106388781A (en) * 2016-09-29 2017-02-15 深圳可思美科技有限公司 Method for detecting skin colors and pigmentation situation of skin
CN107157447A (en) * 2017-05-15 2017-09-15 精诚工坊电子集成技术(北京)有限公司 The detection method of skin surface roughness based on image RGB color
CN107184023A (en) * 2017-07-18 2017-09-22 上海勤答信息科技有限公司 A kind of Intelligent mirror
CN107437073A (en) * 2017-07-19 2017-12-05 竹间智能科技(上海)有限公司 Face skin quality analysis method and system based on deep learning with generation confrontation networking

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110084815A (en) * 2019-06-03 2019-08-02 上海孚锐思医疗器械有限公司 The method that skin allergy decision-making system and skin allergy determine

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