CN107944093A - A kind of lipstick color matching system of selection, electronic equipment and storage medium - Google Patents
A kind of lipstick color matching system of selection, electronic equipment and storage medium Download PDFInfo
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- CN107944093A CN107944093A CN201711063517.5A CN201711063517A CN107944093A CN 107944093 A CN107944093 A CN 107944093A CN 201711063517 A CN201711063517 A CN 201711063517A CN 107944093 A CN107944093 A CN 107944093A
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- lipstick
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
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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
- G06V40/161—Detection; Localisation; Normalisation
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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
Abstract
The invention discloses a kind of color matching system of selection of lipstick, comprise the following steps：Face analysis step：Graphical analysis is carried out to the user picture got to obtain user's facial zone；Skin cluster step：Skin cluster is carried out to user's face region to obtain user colour data；Shape of face obtaining step：Face-image analysis is carried out to user's face region to obtain user's shape of face data；Lipstick recommendation step：Matched according to user's shape of face data with user colour data with recommended models to obtain lipstick color suggested design.Present invention also offers a kind of electronic equipment and computer-readable recording medium.The colour of skin of the user got and shape of face are compared to obtain lipstick color corresponding with the colour of skin and shape of face with the colour of skin and shape of face in the recommended models built for lipstick color matching system of selection of the present invention, which is recommended user.
Description
Technical field
The present invention relates to a kind of machine learning techniques field, more particularly to a kind of lipstick color matching system of selection, electronic equipment
And storage medium.
Background technology
Lip color is made up, and is according to everyone makings, shape of face, is attended the lipstick that the various factors such as occasion are combined and carry out
Collocation of colour.At all times, people are pursuing beautiful cosmetic method, and various information for how making up collocation is filled with miscellaneous
In the media such as will, book, TV, network.And a kind of lipstick color matching for being adapted to oneself shape of face, attending occasion how is selected, it is often right
The effect of crucial touch is played in the facial dressing of whole people.Ordinary populace selection is adapted to the lipstick color of oneself, and most people is
Recommended according to trends such as star, Fashion Magazines, it is past for leading subjective selection, this subjective collocation result to carry out self hobby
Toward not too much suitable owner, because the occasion that everyone colour of skin, shape of face and needs are attended is different, the lipstick resulted in the need for
Footpath is not identical for collocation yet.Also someone listens to the professional advice of beauty and make-up teacher, but the various occasions attended are not in daily life
Together, the collocation of lip color also has different changes, and the suggestion of beautician is needed to take considerable time and linked up, can not be whenever and wherever possible
Easily obtain professional comment.
The content of the invention
For overcome the deficiencies in the prior art, it is an object of the present invention to providing a kind of lipstick color matching system of selection,
It can solve the problems, such as that carrying out lipstick color for user recommends.
The second object of the present invention is to provide a kind of electronic equipment, it can solve to carry out lipstick color recommendation for user
Problem.
The third object of the present invention is to provide a kind of computer-readable recording medium, it can solve to carry out lipstick for user
The problem of color is recommended.
An object of the present invention adopts the following technical scheme that realization：
A kind of lipstick color matching system of selection, comprises the following steps：
Face analysis step：Graphical analysis is carried out to the user picture got to obtain user's facial zone；
Skin cluster step：Skin cluster is carried out to user's face region to obtain user colour data；
Shape of face obtaining step：Face-image analysis is carried out to user's face region to obtain user's shape of face data；
Lipstick recommendation step：Matched according to user's shape of face data with user colour data with recommended models to obtain lipstick
Color suggested design.
Further, the skin cluster step specifically includes following sub-step：
Identification step：Identify the non-area of skin color in user's face region, the non-area of skin color include eyes, eyebrow and
Lip；
Reject step：Non- area of skin color is rejected to obtain blee region；
Color extraction step：The color in extraction blee region is simultaneously averaged to obtain user colour data.
Further, the structure of the recommended models in the lipstick recommendation step mainly includes the following steps that：
Model photo obtaining step：Model picture is obtained, the model picture is to be thumbed up by what social media was got
Picture of the number more than predetermined threshold value；
Model face analytical procedure：Graphical analysis is carried out to model picture to obtain model face region；
Model skin cluster step：The colour of skin of extraction model facial zone with model colour of skin data；
Model shape of face obtaining step：Face-image analysis is carried out to model face region to obtain model shape of face data；
Lipstick color extraction step：The color value of lip in extraction model facial zone with lipstick color data；
Model construction step：Using neural network algorithm to the model colour of skin data, model shape of face data and the mouth that get
Red color data carry out learning training, to obtain recommended models.
Further, the model skin cluster step specifically includes following sub-step：
Non- area of skin color in identification model facial zone, the non-area of skin color include eyes, eyebrow and lip；
Non- area of skin color is rejected to obtain blee region；
The color in extraction blee region is simultaneously averaged to obtain model colour of skin data.
Further, the model construction step：By model usage scenario and got using neural network algorithm
Model colour of skin data, model shape of face data carry out learning training, to obtain as input item using lipstick color data as output item
To recommended models；The model usage scenario by the clothing of personage in graphical analysis model picture to obtain, or by obtaining
Keyword corresponding to modulus type picture is to obtain.
Further, the lipstick recommendation step：According to user's shape of face data, user colour data and usage scenario with
Recommended models are matched to obtain lipstick suggested design, and the usage scenario selects to obtain by user.
Further, in lipstick recommendation step, the quantity of the lipstick color suggested design has multiple, the lipstick face
Color suggested design includes lipstick color and usage scenario corresponding with lipstick color.
Further, information display step is further included after lipstick recommendation step：Pushed away by display screen counterpart red color
The scheme of recommending is shown.
The second object of the present invention adopts the following technical scheme that realization：
A kind of electronic equipment, including memory, processor and storage can be run on a memory and on a processor
Computer program, the processor realize the lipstick color matching described in any one in one of the object of the invention when performing described program
System of selection.
The third object of the present invention adopts the following technical scheme that realization：
A kind of computer-readable recording medium, is stored thereon with computer program, it is characterised in that：The computer program
The method described in any one in one of the object of the invention is realized when being executed by processor.
Compared with prior art, the beneficial effects of the present invention are：
Lipstick of the present invention color matching system of selection is by the colour of skin of the user got and shape of face and skin in the recommended models of structure
Color and shape of face are compared to obtain lipstick color corresponding with the colour of skin and shape of face, which is recommended user.
Brief description of the drawings
Fig. 1 is the flow chart of the lipstick color matching system of selection of the present invention.
Embodiment
In the following, with reference to attached drawing and embodiment, the present invention is described further, it is necessary to which explanation is, not
Under the premise of afoul, new implementation can be formed between various embodiments described below or between each technical characteristic in any combination
Example.
As shown in Figure 1, present embodiments provide a kind of electronic equipment, including memory, processor and it is stored in storage
On device and the computer program that can run on a processor, the processor realize following steps when performing described program：
S1：Graphical analysis is carried out to the user picture got to obtain user's facial zone；This stage mainly obtains
The photo of user, user can upload taking pictures certainly for oneself, or the face spy that the user got by camera is current
Sign, so as to get the current photo of user；
S2：Skin cluster is carried out to user's face region to obtain user colour data；Skin cluster is carried out to facial zone.
The facial zone in photo is judged, after the uneven region of eyes, eyebrow, lip is removed, to remaining facial zone skin
Color is averaged, and obtains the HSB values of blee.Step S2 specifically includes following sub-step：
S21：Identify the non-area of skin color in user's face region, the non-area of skin color includes eyes, eyebrow and lip；
S22：Non- area of skin color is rejected to obtain blee region；
S23：The color in extraction blee region is simultaneously averaged to obtain user colour data.
S3：Face-image analysis is carried out to user's face region to obtain user's shape of face data；Row face is shone into user's self-timer
Portion's graphical analysis, judges the shape of face of user.The color cluster of user's face image-region is analyzed, the edge of extraction color lump cluster is special
Sign, carries out classified description using line segment to shape of face, judges shape of face generic, particularly belong to state's word face, oval face, in round face
Which classification.
S4：Matched according to user's shape of face data, user colour data and usage scenario with recommended models to obtain mouth
Red suggested design, the usage scenario select to obtain by user.The quantity of the lipstick color suggested design have it is multiple, it is described
Lipstick color suggested design includes lipstick color and usage scenario corresponding with lipstick color.According to the shape of face of user, the colour of skin and
Usage scenario compares recommended models and judges the lipstick Color scheme that user is adapted to, and result be presented to user and check.Alternatively, such as
Fruit user does not submit usage scenario, then recommended models is judged with lipstick face that user is adapted to according to the shape of face of user, ratio of skin tone
Color scheme, is shown to user with reference to the usage scenario that each scheme is adapted to and makes choice in the lump.
Mass users, which are obtained, by various social medias thumbs up several high star's dressing photos；By learn various shapes of face,
The colour of skin, attend scene and the combination of lipstick color matching, obtains the recommended models of lipstick colour matching selection；The structure master of recommended models
Comprise the following steps：
S41：Model picture is obtained, the model picture is that the number that thumbs up got by social media exceedes predetermined threshold value
Picture；Obtain and more star's photo is thumbed up on a large amount of social networks.The model picture that is to say the photo of star, due to
The lipstick of star was designed by Specialty Design teacher, so for ordinary people, it is more standby certain
Reference value, but the acquisition of this content is nor all photos of all stars, but choose the photograph being wherein well received by the public
Piece, since the person of thumbing up comes from more ordinary peoples, so the tentative dressing of some that some stars can also be screened out,
More meet the aesthetic of general masses sieve；
S42：Graphical analysis is carried out to model picture to obtain model face region；
S43：The colour of skin of extraction model facial zone with model colour of skin data；Obtain photo in star facial zone into
Row skin cluster.During skin cluster, first determine whether the facial zone in photo, then by eyes, eyebrow, lip it is uneven
After region is removed, the remaining facial zone colour of skin is averaged, obtains the HSB values of blee.Due to eyes, eyebrow and mouth
The color of lip and human face's colour of skin are inconsistent, if so when skin cluster is carried out, extract corresponding color, can make
Into certain aberration, so first screening out the information of this part in advance；S43 specifically includes following sub-step：
Non- area of skin color in identification model facial zone, the non-area of skin color include eyes, eyebrow and lip；
Non- area of skin color is rejected to obtain blee region；
The color in extraction blee region is simultaneously averaged to obtain model colour of skin data.
S44：Face-image analysis is carried out to model face region to obtain model shape of face data；The present invention is according to different faces
Type feature, is divided into state's word face, oval face, round face three types by the shape of face of people, uses retouching for curve classification, that is, curve+line segment
State mode and the types such as classified description, respectively state's word face, oval face, round face are carried out to different shapes of face.To star's photo into
Row face-image is analyzed, and color cluster is carried out to each facial zone, the edge feature of extraction color lump cluster, is retouched using above-mentioned line segment
State mode the edge feature of shape of face is described, corresponding each description result establishes shape of face classification based training collection.
S45：The color value of lip in extraction model facial zone with lipstick color data；Judge the mouth of star's photo
Lip portion, carries out dominant hue extraction, obtains the lipstick color average of lip.
S46：Using neural network algorithm to model usage scenario and the model colour of skin data got, model shape of face number
Learning training is carried out according to lipstick color data, to obtain recommended models；The model usage scenario passes through graphical analysis model
The clothing of personage to be to obtain in picture, or by obtaining the keyword corresponding to model picture to obtain.
Shape of face feature, the colour of skin, scene tag are calculated as input item, lipstick color as output item using neutral net
Method carries out learning training, completes the training of lipstick color recommended models, recommendation results are corrected by repetition training.Judge star's photo
Lip portion, carry out dominant hue extraction, obtain the lipstick color average of lip.Text on star's photo in social networks
The step of content analysis, progress scene keyword extraction, the mark of usage scenario can also be established by analyzing the dressing of star
Label, such as dressing is evening dress, then usage scenario corresponds to dinner party, and such as dressing to show solicitude for, then usage scenario corresponds to leisure etc..
Due to participating in different activity, it is necessary to which the makings of the people embodied with dressing is also different, participation dinner party just should be able to the more village
It is heavier and to lie fallow usually, it is necessary to the color of lipstick be darker, then may be more cheerful and more light-hearted, it is necessary to apply more
Bright color；
S5：Shown by display screen counterpart red color suggested design；Taking a picture certainly for user's upload is obtained, carries out face
Portion's graphical analysis, obtains the shape of face and colour of skin type of user, while obtains the usage scenario of user's selection, compares recommended models,
The corresponding lipstick color selection scheme for providing recommendation；User can not also carry out usage scenario selection, when not getting user
Usage scenario when, system by multiple lipstick color selection schemes combine each scheme applicable scene be supplied to user to select, give
The more independences of user.
Mainly application process is the present invention：System thumbs up more star's dressing beforehand through the social networks for obtaining magnanimity
Photo carries out learning training, analyzes the facial zone in photo, extracts the lipstick face that the colour of skin, shape of face and lip in photo use
Color, while obtain photo and correspond to content of text in social networks and carry out text analyzing, extraction wherein on attend occasion phase
Usage scenario label of the content of text of pass as the photo, using the colour of skin, shape of face, usage scenario as input item, lipstick color
As output item, learning training is carried out using neural network algorithm, establishes lipstick color recommended models, and be stored in server.
User is uploaded from after taking a picture, and the self-timer that system obtains user shines into capable pretreatment, analyzes shape of face, the skin of user
Color, after getting the usage scenario of user, the recommended models that prestore in Compare System judge the lipstick color that user is adapted to, and
It result be presented to user.If user does not submit or select usage scenario, system makes up multiple lipstick colors scheme knot
The applicable scene for closing the lipstick color is supplied to user to select.
The above embodiment is only the preferred embodiment of the present invention, it is impossible to the scope of protection of the invention is limited with this,
The change and replacement for any unsubstantiality that those skilled in the art is done on the basis of the present invention belong to institute of the present invention
Claimed scope.
Claims (10)
- The system of selection 1. a kind of lipstick is matched colors, it is characterised in that comprise the following steps：Face analysis step：Graphical analysis is carried out to the user picture got to obtain user's facial zone；Skin cluster step：Skin cluster is carried out to user's face region to obtain user colour data；Shape of face obtaining step：Face-image analysis is carried out to user's face region to obtain user's shape of face data；Lipstick recommendation step：Matched according to user's shape of face data with user colour data with recommended models to obtain lipstick color Suggested design.
- The system of selection 2. lipstick as claimed in claim 1 is matched colors, it is characterised in that the skin cluster step specifically include with Lower sub-step：Identification step：Identify the non-area of skin color in user's face region, the non-area of skin color includes eyes, eyebrow and mouth Lip；Reject step：Non- area of skin color is rejected to obtain blee region；Color extraction step：The color in extraction blee region is simultaneously averaged to obtain user colour data.
- The system of selection 3. lipstick as claimed in claim 1 or 2 is matched colors, it is characterised in that pushing away in the lipstick recommendation step The structure for recommending model mainly includes the following steps that：Model photo obtaining step：Model picture is obtained, the model picture is that the number that thumbs up got by social media surpasses Cross the picture of predetermined threshold value；Model face analytical procedure：Graphical analysis is carried out to model picture to obtain model face region；Model skin cluster step：The colour of skin of extraction model facial zone with model colour of skin data；Model shape of face obtaining step：Face-image analysis is carried out to model face region to obtain model shape of face data；Lipstick color extraction step：The color value of lip in extraction model facial zone with lipstick color data；Model construction step：Using neural network algorithm to the model colour of skin data, model shape of face data and the lipstick face that get Chromatic number is according to learning training is carried out, to obtain recommended models.
- The system of selection 4. lipstick as claimed in claim 3 is matched colors, it is characterised in that the model skin cluster step is specifically wrapped Include following sub-step：Non- area of skin color in identification model facial zone, the non-area of skin color include eyes, eyebrow and lip；Non- area of skin color is rejected to obtain blee region；The color in extraction blee region is simultaneously averaged to obtain model colour of skin data.
- 5. the lipstick color matching system of selection as described in claim 3 or 4, it is characterised in that the model construction step：Utilize god Through network algorithm using model usage scenario and the model colour of skin data got, model shape of face data as input item, by mouth Red color data carry out learning training as output item, to obtain recommended models；The model usage scenario passes through graphical analysis The clothing of personage to be to obtain in model picture, or by obtaining the keyword corresponding to model picture to obtain.
- The system of selection 6. lipstick as claimed in claim 5 is matched colors, it is characterised in that the lipstick recommendation step：According to user Shape of face data, user colour data and usage scenario are matched with recommended models to obtain lipstick suggested design, the use Scene selects to obtain by user.
- The system of selection 7. lipstick as claimed in claim 1 is matched colors, it is characterised in that in lipstick recommendation step, the lipstick The quantity of color suggested design has multiple, and the lipstick color suggested design includes lipstick color and corresponding with lipstick color makes Use scene.
- The system of selection 8. lipstick as claimed in claim 7 is matched colors, it is characterised in that further include letter after lipstick recommendation step Cease step display：Shown by display screen counterpart red color suggested design.
- 9. a kind of electronic equipment, including memory, processor and storage are on a memory and the meter that can run on a processor Calculation machine program, it is characterised in that the processor realizes the mouth in claim 1-8 described in any one when performing described program Red color matching system of selection.
- 10. a kind of computer-readable recording medium, is stored thereon with computer program, it is characterised in that：The computer program The method as described in claim 1-8 any one is realized when being executed by processor.
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| CN201711063517.5A CN107944093A (en) | 2017-11-02 | 2017-11-02 | A kind of lipstick color matching system of selection, electronic equipment and storage medium |
| CN201810933834.6A CN109359317A (en) | 2017-11-02 | 2017-11-02 | A kind of lipstick is matched colors the model building method and lipstick color matching selection method of selection |
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| CN201711063517.5A CN107944093A (en) | 2017-11-02 | 2017-11-02 | A kind of lipstick color matching system of selection, electronic equipment and storage medium |
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| CN201711063517.5A Pending CN107944093A (en) | 2017-11-02 | 2017-11-02 | A kind of lipstick color matching system of selection, electronic equipment and storage medium |
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| CN109948548A (en) * | 2019-03-20 | 2019-06-28 | 齐鲁工业大学 | A kind of the lipstick recommended method and system of the match colors based on machine learning |
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