CN108354590A - A kind of face state appraisal procedure based on burst mode - Google Patents
A kind of face state appraisal procedure based on burst mode Download PDFInfo
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- CN108354590A CN108354590A CN201810084759.0A CN201810084759A CN108354590A CN 108354590 A CN108354590 A CN 108354590A CN 201810084759 A CN201810084759 A CN 201810084759A CN 108354590 A CN108354590 A CN 108354590A
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/0059—Measuring for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence
- A61B5/0077—Devices for viewing the surface of the body, e.g. camera, magnifying lens
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/44—Detecting, measuring or recording for evaluating the integumentary system, e.g. skin, hair or nails
- A61B5/441—Skin evaluation, e.g. for skin disorder diagnosis
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7235—Details of waveform analysis
- A61B5/7264—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems
- A61B5/7267—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems involving training the classification device
Abstract
The face state appraisal procedure based on burst mode that the invention discloses a kind of, belongs to Skin Detection field；Method includes：Multiple facial images of user's face are continuously acquired using the image collecting device being set under a burst mode, it is uploaded in the Cloud Server remotely being connect with image collecting device as image to be detected, and by image to be detected using the optimum image in the optical sieving unit extraction face images with a default determination strategy；Cloud Server identifies to obtain all facial skin characteristic points in image to be detected, and is positioned to each first detection zone according to facial skin characteristic point；Cloud Server carries out skin state assessment to each first detection zone respectively using corresponding first assessment unit, and exports assessment result respectively；The advantageous effect of above-mentioned technical proposal is：It is supplied to the face state assessment result that user is comprehensive and accurate, user is helped to grasp face state at any time, and is realized simple.
Description
Technical field
The present invention relates to Skin Detection field more particularly to a kind of face state assessment sides based on burst mode
Method.
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.
The case where some existing skin detection equipment have been able to more synthetically detect skin, but the result detected
It differs greatly, is affected by the factors such as angle of the light of environment, test equipment.
Invention content
According to the above-mentioned problems in the prior art, a kind of face state appraisal procedure based on burst mode is now provided
Technical solution, it is desirable to provide give user comprehensive and accurate face state assessment result, user helped to grasp face's shape at any time
State, and realize that simply, detect and assess process is not necessarily to professional equipment, reduce detection threshold.
Above-mentioned technical proposal specifically includes：
A kind of face state appraisal procedure based on burst mode, wherein in multiple facial skins are arranged in human face region
Characteristic point, and all facial skin characteristic points are divided into for positioning in different multiple first detection zones, each
First detection zone be used to assess a skin condition of face, and for each first detection zone difference
At least one first assessment unit is set, further includes：
Step S1, the image collecting device being set under a burst mode continuously acquire multiple face figures of user's face
Picture, an optical sieving unit is provided in described image harvester, and described image screening unit uses a default determination strategy
The optimum image in all facial images is extracted as image to be detected, and by described image to be detected be uploaded to it is described
In the Cloud Server that image collecting device remotely connects；
Step S2, the Cloud 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；
Step S3, the Cloud Server is using corresponding first assessment unit respectively to each first detection zone
Domain carries out skin state assessment, and exports assessment result respectively；
The assessment result is issued to the user's end for remotely connecting the Cloud Server by step S4, the Cloud Server
End, 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 Cloud Server by the communication device, and by the communication device by institute
The facial image that image acquisition device obtains is stated to be uploaded in the Cloud 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 first assessment unit includes an advance training shape
At 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, while being assessed first detection zone using first assessment unit,
Second detection zone is assessed using one second assessment unit, and exports corresponding assessment result；
In the step S4, the assessment result of first assessment unit output and second assessment unit are exported
Assessment result is issued to the user terminal for remotely connecting 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, carried out using second assessment unit
The process of processing 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 based on burst mode is provided, it can
It is supplied to the assessment result that user is accurate and stability is high, it is not easy to be influenced by environment, user experience is good.
Description of the drawings
Fig. 1 is a kind of totality of the face state appraisal procedure based on burst mode in the preferred embodiment of the present invention
Flow diagram；
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 assessed using second the second detection zone of assessment unit pair in the preferred embodiment of the present invention
Idiographic flow schematic 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 face state assessment side based on burst mode is now provided
Method in this method, first in multiple facial skin characteristic points are arranged in human face region, and all facial skin characteristic points is divided
For for positioning in different multiple detection zones, each detection zone be used to assess a skin condition of face, and
An at least assessment unit is respectively set for each detection zone.
This method is specifically as shown in fig. 1, including：
Step S1, the image collecting device being set under a burst mode continuously acquire multiple face figures of user's face
Picture, an optical sieving unit is provided in image collecting device, and optical sieving unit is all using a default determination strategy extraction
Image to be detected is uploaded to and is remotely connect with image collecting device as image to be detected by the optimum image in facial image
A Cloud Server in；
Step S2, Cloud Server identify to obtain all facial skin characteristic points in image to be detected, and according to face's skin
Skin characteristic point positions each first detection zone；
Step S3, Cloud Server carry out skin shape to each first detection zone respectively using corresponding first assessment unit
State is assessed, and exports assessment result respectively；
Step S4, assessment result is issued to the user terminal of long-range connection Cloud Server by Cloud Server, so that user looks into
It sees.
Specifically, in the present embodiment, during skin state assessment, the mistake of skin information acquisition is first carried out
Journey, should during, multiple facial images of user's face are continuously acquired using an image collecting device, in image collecting device
Optical sieving unit using the optimum image in a default determination strategy extraction face images as image to be detected, and
It is uploaded in the Cloud Server for remotely connecting the image collecting device as image to be detected.Default determination strategy can be with
For：Using the minimum image of bloom pixel as optimum image, either using the highest image of clarity as optimum image or
Be supplied to user's unrestricted choice optimum image etc., it may be necessary to be supplied to user for select optimum image display device and
Input unit.Above-mentioned facial image is the general image of face, is further the general image of front face, front face
Image may insure the accuracy of skin state assessment.
In the present embodiment, after above-mentioned Cloud Server gets facial image, according to preset facial skin characteristic point before
Facial image is identified, to be divided to facial image according to obtained facial skin characteristic point is identified, to shape
At the first multiple and different detection zones.Specifically, preset facial skin characteristic point has 68 in the present invention, distribution situation
Refer to Fig. 2.Cloud Server is identified from the facial image obtains all preset facial feature points, to form as shown in Figure 2
The characteristic image formed by facial feature points.
Also, Cloud Server carries out entire characteristic image according to all facial feature points in features described above image
It divides, to form multiple first detection zones, the first different detection zones is supplied to Cloud Server to a kind of skin condition
It is detected and assesses.
It is respectively divided on facial image after forming each first detection zone, Cloud Server is directed to each first detection zone
Domain is respectively adopted corresponding first assessment unit and is assessed, to export assessment result.Cloud Server is by each assessment result
It is sent to the user terminal of long-range connection Cloud Server, to complete the assessment of facial 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 Cloud Server, one should also be arranged inside above-mentioned vanity mirror
A communication device, above-mentioned image collecting device connecting communication device, and be uploaded to above-mentioned facial image by communication device
In Cloud Server.Specifically, above-mentioned communication device can be the wireless communication module being built in inside vanity mirror, and pass through room
Interior router is connected to long-range Cloud Server.At this point, optimum image can be the image of user's face most face vanity mirror,
Can be specifically face on image characteristic point relative to entire face position closest to preset people in image collecting device
Face model, but this is a kind of preferred situation, can also use the algorithm of other quantization faces and make up mirror angle or position,
Details are not described herein.
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 Cloud Server；Third portion
Point it is the fluoroscopic examination of full face's partial image, i.e., above-mentioned third assessment is as a result, to indicate that face has glimmering when third assesses sub- result
Light time can carry out alarm by Cloud Server to user terminal.
Since cleannes detection is divided into three parts, the assessment unit for corresponding to cleannes detection zone should also be as wrapping
Three units are included, that is, correspond to the first assessment subelement of the first sub- result of assessment, corresponding to the second of the second sub- result of assessment
Assessment subelement and the third that sub- result is assessed corresponding to third assess subelement.Above-mentioned first assessment subelement, the second assessment
The formation of subelement and third assessment subelement and operation principle are identical as other assessment units, 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 assessment unit of allergy detection zone is left cheek area
The red blood silk image of domain 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 first assessment unit includes an assessment mould that training is formed in advance
Type；
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 assessment unit of oil detection zone
Each training data centering includes the image of an above-mentioned oil detection zone, and the assessment manually marked for the image
Score ultimately forms the assessment models by the training of multiple training datas pair.
Again by taking skin allergy is assessed as an example, training is corresponding to the assessment models in the first assessment unit of allergy detection zone
Each training data centering include an above-mentioned allergy detection zone image, and for the image manually mark comment
Estimate score, which is ultimately formed by the training of multiple training datas pair.
In the present embodiment, correspond to above-mentioned cleannes detection zone first assessment subelement, second assessment subelement and
Assessment models in third assessment subelement train to be formed also according to aforesaid way, specially：
The training data centering of first assessment subelement includes the image of an above-mentioned nasal area, and is directed to the image
Manually mark for indicating the whether clean assessment score of nasal portion；
The training data centering of second assessment subelement includes the image in an above-mentioned full face region, and is directed to the image
Manually mark for indicate whether whole-face detection has the remaining assessment result of color make-up, the assessment result can be directly "Yes"
Or the judging result of "No", without being indicated with specific score numerical value.Further, only when second assesses subelement
When the assessment result of output is "Yes", Cloud Server just issues assessment result to user terminal, i.e., to user terminal alarm.
The training data centering of third assessment subelement includes the image in an above-mentioned full face region, and is directed to the image
Manually mark for indicating that the assessment result of full face fluoroscopic examination, the assessment result equally can be "Yes" or "No"
Judging result, without being indicated with specific score numerical value.Further, only when the assessment of third assessment subelement output
When being as a result "Yes", Cloud Server just issues assessment result to user terminal, i.e., to user terminal alarm.
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 assessment unit, i.e. in above-mentioned steps S3, using the
While one the first detection zone of assessment unit pair is assessed, commented using one second the second detection zone of assessment unit pair
Estimate, and exports corresponding assessment result；
In above-mentioned steps S4, by the assessment result of the assessment result of the first assessment unit output and the output of the second assessment unit
It is issued to the user terminal of long-range connection Cloud Server, so that user checks.
Further, it in preferred embodiment of the invention, in above-mentioned steps S3, is handled using the second assessment unit
Process it 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 assessment unit is different from the first assessment unit, not according to training shape
At assessment models the second detection zone is detected, but according to the rgb value of each pixel of left cheek region and the right side
The rgb value of each pixel of cheek region carries out average computation and obtains above-mentioned assessment result.
In one embodiment of the present of invention, as mentioned above it is possible, in above-mentioned steps S4, Cloud Server can select own
The assessment result of first assessment unit output and the assessment result of the second assessment unit output are all issued to user terminal, with
It is checked for user.
In an alternative embodiment of the invention, in above-mentioned steps S4, Cloud Server can integrate all first assessment units
The assessment result of output, and it is issued to user terminal together with the assessment result of the second assessment unit output, so that user looks into
It sees.In the present embodiment, the next basis of mode for setting weighted value for the assessment result of each first assessment unit may be used and own
The assessment result weighted calculation of first assessment unit obtains a total evaluation as a result, and exporting it together with the second assessment unit
Assessment result be issued to user terminal together.It should be noted that above-mentioned second evaluates sub- result and the sub- result of third evaluation
Due to not being score numeric form, it is not involved in weighted calculation, needs individually to be issued to user terminal.
In an alternative embodiment of the invention, in above-mentioned steps S4, it is single that Cloud Server can also integrate all first assessments
The assessment result of member output and the assessment result of the second assessment unit output, are equally calculated by the way of weighted calculation
One total evaluation result is simultaneously issued to user terminal.Similarly, the above-mentioned second sub- result of evaluation and third evaluate sub- result by
In not being score numeric form, therefore 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 face state appraisal procedure based on burst mode, which is characterized in that in multiple faces are arranged in human face region
Skin characteristic point, and all facial skin characteristic points are divided into for positioning in different multiple first detection zones,
Each first detection zone be used to assess a skin condition of face, and for each first detection zone
At least first assessment unit is respectively set, further includes：
Step S1 continuously acquires multiple face figures of user's face using the image collecting device being set under a burst mode
Picture, an optical sieving unit is provided in described image harvester, and described image screening unit uses a default determination strategy
The optimum image in all facial images is extracted as image to be detected, and by described image to be detected be uploaded to it is described
In the Cloud Server that image collecting device remotely connects；
Step S2, the Cloud Server identify to obtain all facial skin characteristic points in described image to be detected, and root
Each first detection zone is positioned according to the facial skin characteristic point；
Step S3, the Cloud Server using corresponding first assessment unit respectively to each first detection zone into
Row skin state assessment, and assessment result is exported respectively；
The assessment result is issued to the user terminal for remotely connecting the Cloud Server by step S4, the Cloud Server, with
It is checked for user.
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 Cloud Server by the communication device, and by the communication device by the figure
The facial image collected as harvester is uploaded in the Cloud 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 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.
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 first assessment unit includes
One 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, while being assessed first detection zone using first assessment unit, use
One second assessment unit assesses second detection zone, and exports corresponding assessment result；
In the step S4, by the assessment of the assessment result of first assessment unit output and second assessment unit output
As a result it is issued to the user terminal for remotely connecting 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, using described second
The process that assessment unit is handled specifically includes：
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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| CN201810084759.0A CN108354590A (en) | 2018-01-29 | 2018-01-29 | A kind of face state appraisal procedure based on burst mode |
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