CN107545051A - Hair style design system and method based on image procossing - Google Patents
Hair style design system and method based on image procossing Download PDFInfo
- Publication number
- CN107545051A CN107545051A CN201710729913.0A CN201710729913A CN107545051A CN 107545051 A CN107545051 A CN 107545051A CN 201710729913 A CN201710729913 A CN 201710729913A CN 107545051 A CN107545051 A CN 107545051A
- Authority
- CN
- China
- Prior art keywords
- hair
- image
- face
- hair quality
- barber
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Abstract
The invention discloses a kind of hair styling method based on image procossing, and it first inputs the age of barber, sex；The face image and hair quality image of barber is obtained by camera device again；Then face image and hair quality image are handled, extraction facial characteristics value, hair quality characteristic value；Matching is compared with the data in database in age, sex, facial characteristics value, hair quality characteristic value again, finds out the hair style of suitable barber；Matching result will finally be compared and carry out output display.The present invention also provides a kind of hair style design system based on image procossing.
Description
Technical field
The present invention relates to hair style design field, and in particular to a kind of hair style design system and method based on image procossing.
Background technology
With the improvement of people ' s living standards carrying for personal image is increasingly paid close attention to the tempo increase of human communication, people
Rise, and in order to meet that user finds the suitable hair style of oneself, various hair style design softwares emerge in an endless stream.
The principle of hair style design software on the market is usually at present：The hair style database of oneself is first established, then will be clapped
The user's face image taken the photograph is matched with the image in corresponding hair style design storehouse, is drawn matching result, is finally chosen by user
Choosing is adapted to the hair style of oneself.Due to everyone hair quality situation (i.e. the indices such as the moisture of hair, oil, degree of roughness),
Age, the difference of sex, match the hair style image got and the hair style actually made and very big difference be present, actual effect compared with
Difference, thus cause user experience poor.And existing hair style design software can only match hair style figure by shape of face, without pin
Suggestion to property, function are not perfect enough.
The content of the invention
It is an object of the invention to provide a kind of hair style design system and method based on image procossing, the system and method
The age of barber, sex, facial characteristics value, hair quality characteristic value are matched with corresponding hair style, given birth to automatically for barber
Into suitable hair style, so that barber cuts the suitable hair style of oneself.
The technical solution adopted in the present invention is：
A kind of hair styling method based on image procossing, comprises the following steps：
Input age, the sex of barber；
The face image and hair quality image of barber is obtained by camera device；
Face image and hair quality image are handled, extraction facial characteristics value, hair quality characteristic value；
Matching is compared with the data in database in age, sex, facial characteristics value, hair quality characteristic value, is found out suitable
The hair style of reasonable originator；
Matching result will be compared and carry out output display.
By such scheme, face image and hair quality image are handled, extraction facial characteristics value, the step of hair quality characteristic value
Suddenly it is：
To face image carry out face image processing, obtain the Aspect Ratio of face, the position of lower jaw, cheekbone position,
The facial characteristics value such as shape of face radian；Hair quality image procossing is carried out to hair quality image, obtain the soft or hard degree of hair quality, degree of roughness,
The hair quality characteristic value such as moisture, oil content.
By such scheme, it is to the step of face image progress face image processing：Filtered out and made an uproar using median filtering technology
The influence of sound, light to face image, recycle the adaptive algorithm of region growing of local gray level by face image from overall diagram
Separate as in, distinguish face and hair with related algorithm so that face image is more suitable for the extraction of facial characteristics value；
The facial characteristics value also includes the face mask line and face position of barber, and the face position includes eyes
Position, nose position, eyebrow position, Hp position.
By such scheme, barber is judged according to the soft or hard degree of hair quality, degree of roughness, moisture, oil content etc.
Hair quality situation, provide barber personalized hair quality situation overall merit according to hair quality situation.
By such scheme, the database includes hair style storehouse, hair quality storehouse and shape of face storehouse, stores the sample of respective modules respectively
This.
By such scheme, the step of matching is compared with the data in database in facial characteristics value, hair quality characteristic value
For：
Facial characteristics value is compared matching with shape of face in the shape of face storehouse in database；
Hair quality in hair style storehouse of the hair quality characteristic value in database is compared matching；
Both the above comparison match result and hair style in the hair style storehouse in database are matched, find out suitable barber's
Hair style.
By such scheme, before the age, sex in input barber, can first be pre-processed；The step of the pretreatment
Suddenly it is：
The picture in hair style storehouse is classified according to sex and age bracket first；
Then according to the hair style that different shapes of face is adapted to previous item classification；
Further according to the hair style that different hair quality situations can be made to previous item classification again；
Finally previous item is classified and carries out permutation and combination, generation pretreatment hair style picture group, is stored in hair style storehouse.This is pre-
Processing hair style picture group directly can match with facial characteristics value matching result, hair quality characteristic value matching result, rapidly find out suitable
The hair style of reasonable originator.
The present invention also provides a kind of hair style design system based on image procossing, and the system includes being based on image using above-mentioned
The device of the hair styling method of processing.
The present invention also provides a kind of hair style design system based on image procossing, including
For input age of barber, sex MIM message input module；
For obtaining the face image of barber and the image capture module of hair quality image by camera device；
For handling face image and hair quality image, extraction facial characteristics value, the image procossing of hair quality characteristic value
Center；
Matching is compared with the data in database in age, sex, facial characteristics value, hair quality characteristic value, is found out suitable
The contrast matching module of the hair style of reasonable originator；
For the output display module of matching result progress output display will to be compared.
By such scheme, described image processing center includes face image processing module and hair quality image processing module, face
Portion's image processing module is used to carry out face image processing to face image, obtains the Aspect Ratio of face, the position of lower jaw, cheekbone
The facial characteristics values such as the position of bone, shape of face radian；Hair quality image processing module is used to carry out hair quality image procossing to hair quality image,
Obtain the hair quality characteristic values such as the soft or hard degree of hair quality, degree of roughness, moisture, oil content.
By such scheme, face image processing module is to the step of face image progress face image processing：In
Value filtering technology filters out the influence of noise, light to face image, recycles the adaptive algorithm of region growing of local gray level will
Face image is separated from general image, is distinguished face and hair with related algorithm so that face image is more suitable
Close the extraction of facial characteristics value；
The facial characteristics value also includes the face mask line and face position of barber, and the face position includes eyes
Position, nose position, eyebrow position, Hp position.
By such scheme, hair quality image processing module for being to the step of hair quality image progress hair quality image procossing：Adopt
The influence of noise, light to hair quality image is filtered out with median filtering technology, analyzes the soft or hard degree, degree of roughness, moisture of hair quality
Content, oil content.
By such scheme, the system also includes hair quality situation overall merit module, the hair quality situation overall merit module
The hair quality situation of barber is judged according to the soft or hard degree of hair quality, degree of roughness, moisture, oil content, according to hair quality feelings
Condition provides barber personalized hair quality situation overall merit, and carries out display output by output display module.
By such scheme, contrast matching module includes facial characteristics value contrast module, hair quality characteristic value comparing module and sought
Look for matching hair style module；
The facial characteristics value contrast module is used to compare facial characteristics value with shape of face in the shape of face storehouse in database
Matching, i.e., in the facial characteristics value and database such as the Aspect Ratio of face, the position of lower jaw, the position of cheekbone and shape of face radian
Shape of face storehouse in master sample value contrasted, find the matching shape of face of barber；
The hair quality characteristic value comparing module is used to compare hair quality characteristic value with hair quality in the hair style storehouse in database
In hair quality storehouse in the hair quality characteristic values such as matching, i.e., soft or hard degree, degree of roughness, moisture, oil content and database
Master sample value is contrasted, and finds the matching hair quality of barber；
The matching hair style module of finding is used for the comparison match result of facial characteristics value contrast module, hair quality characteristic value
The comparison match result of comparing module matches with hair style in the hair style storehouse in database, finds out the hair style of suitable barber.
By such scheme, the system also includes pretreatment module, and the processing step of the pretreatment module is：
The picture in hair style storehouse is classified according to sex and age bracket first；
Then according to the hair style that different shapes of face is adapted to previous item classification；
Further according to the hair style that different hair quality situations can be made to previous item classification again；
Finally previous item is classified and carries out permutation and combination, generation pretreatment hair style picture group, is stored in hair style storehouse.This is pre-
Processing hair style picture group directly can match with facial characteristics value matching result, hair quality characteristic value matching result, can rapidly find out
It is adapted to the hair style of barber.
By such scheme, the system also includes cable network module, for connecting image capture module and image procossing
Center.Cable network module includes router, network line and interchanger；The router is connected by network line and interchanger
Connect, the image for camera device to be collected is sent to image processing center.
In the present invention, the shape of face in shape of face storehouse includes square face, egg type face, heart-shaped face, taper face, elongated face, rhombus face
Deng.
In the present invention, the hair quality in hair style storehouse includes oily hair, healthy hair quality, Dry Hair, damaged hair, Combination
Hair quality, wherein,
Oily hair：Hair quality is softer, and sebaceous glands enriches, and secretion grease is vigorous, and moisture is less than oil content；
Healthy hair quality：Glossiness is good, and soft flexible, easily sizing, water-oil factor example are moderate；
Dry Hair：Stiff nonelastic, hair is sturdy, easy fracture, and moisture and oil content are very few；
Damaged hair：Rough surface, send out tail bifurcated, not submissive, moisture and oil content serious unbalance；
Combination hair quality：Hair is dried, and scalp heavy wool, is often accompanied by more dandruff.
In the present invention, the hair quality situation overall merit includes：
Oily hair：When carrying out scalp massage using appropriate lemon, Geranium Essential etc. during hair washing, while having one's hair wash
Scalp is never held by hand, eats fruits and vegetables more, is taken a good rest；
Healthy hair quality：It is recommended that continuing to keep, eat sesame, fruit and vegetable etc. more, take a good rest；
Dry Hair：Moist type shampoo or hair conditioner are chosen, pays attention to rubbing the dynamics of hair, hair is gently massaged,
Eat the food rich in nutriments such as protein, magnesium, calcium more；
Damaged hair：With finger pulp long-time massaging scalp during hair washing, scalp blood circulation is stimulated, use high moisturizing during hair washing
Hair conditioner, the loss of moisture and nutrient is prevented, hair, which is badly damaged, will use profit hair essence Huo treatment oil hair cares to carry out deep layer shield
Reason；
Combination hair quality：Often comb one's hair, contribute to the grease of head skin secretion to arrive at the hair tip, allow the hair tip to be nourished,
Disposable hair moisturizer, which can also be spread, in the hair tip prevents hair bifurcated.
The beneficial effects of the present invention are：
By the way that the data in the age of barber, sex, facial characteristics value, hair quality characteristic value and database are carried out
Match somebody with somebody, suitable hair style is automatically generated for barber.Exportable hair quality situation overall merit, barber is grasped hair quality situation, give
User brings good usage experience.
Brief description of the drawings
Below in conjunction with drawings and Examples, the invention will be further described, in accompanying drawing：
Fig. 1 is the structured flowchart of the hair style design system based on image procossing.
Embodiment
In order to make the purpose , technical scheme and advantage of the present invention be clearer, it is right below in conjunction with drawings and Examples
The present invention is further elaborated.It should be appreciated that specific embodiment described herein is only to explain the present invention, not
For limiting the present invention.
Referring to Fig. 1, a kind of hair styling method based on image procossing, comprise the following steps
Step 1, the hair style storehouse in database is pre-processed, process includes：
The picture in hair style storehouse is classified according to sex and age bracket first；
Then according to the hair style that different shapes of face is adapted to previous item classification；
Further according to the hair style that different hair quality situations can be made to previous item classification again；
Finally previous item is classified and carries out permutation and combination, hair style picture group corresponding to generation, is stored in hair style storehouse.
Step 2, input the personal information such as age, the sex of barber；The face that barber is gathered by picture pick-up device schemes
Picture and hair quality image, the hair quality image include hair image and scalp image；
Step 3, face image and hair quality image are handled, extraction facial characteristics value, hair quality characteristic value, are specially：
To face image carry out face image processing, obtain the Aspect Ratio of face, the position of lower jaw, cheekbone position,
The facial characteristics values such as shape of face radian, face mask line, eyes position, nose position, eyebrow position, Hp position；To hair quality figure
As carrying out hair quality image procossing, the hair quality characteristic values such as the soft or hard degree of hair quality, degree of roughness, moisture, oil content are obtained；
Wherein, it is to the step of face image progress face image processing：Noise, light are filtered out using median filtering technology
Influence to face image, the algorithm of region growing for recycling local gray level adaptive separate face image from general image
Out, face and hair are distinguished with related algorithm so that face image is more suitable for the extraction of facial characteristics value；
Step 4, matching is compared with the data in database in facial characteristics value, hair quality characteristic value, finds out suitable reason
The hair style of originator, it is specially：Facial characteristics value and the master sample value in the shape of face storehouse in database are contrasted, got a haircut
The matching shape of face of person, hair quality characteristic value and the master sample value in the hair quality storehouse in database are contrasted, obtain barber
Matching hair quality situation and personalized hair quality situation overall merit；
What the overall merit of the personalized hair quality situation was obtained by：According to the soft or hard degree of hair quality, coarse journey
Degree, moisture, oil content judge the hair quality situation of barber, and the hair quality situation that personalization is obtained according to hair quality situation integrates
Evaluation；
Step 5, according to the information such as the age of barber, sex and obtained matching shape of face, match hair quality situation and data
The hair style picture group in the hair style storehouse in storehouse is matched, and obtains matching hair style；
Step 6, the overall merit for matching hair style and personalized hair quality situation is subjected to output display.
The invention further relates to a kind of device using the above-mentioned hair styling method based on image procossing formed based on
The hair style design system of image procossing.
A kind of hair style design system based on image procossing, including MIM message input module, image capture module, image procossing
Center, cable network module, contrast matching module, hair quality situation overall merit module, output display module；
MIM message input module is used for age, the sex for inputting barber；
Image capture module is used for the face image and hair quality image that barber is obtained by camera device；
Image processing center is used to handle face image and hair quality image to extract facial characteristics value, hair quality feature
Value；Image processing center includes face image processing module and hair quality image processing module, and face image processing module is used for pair
Face image carries out face image processing, obtains the Aspect Ratio of the face, position of lower jaw, the position of cheekbone, shape of face radian, double
The facial characteristics values such as eye position, nose position, eyebrow position, Hp position；Hair quality image processing module is used for hair quality image
Hair quality image procossing is carried out, obtains the hair quality characteristic values such as the soft or hard degree of hair quality, degree of roughness, moisture, oil content；Its
In, face image processing module is to the step of face image progress face image processing：Filtered out and made an uproar using median filtering technology
The influence of sound, light to face image, recycle the adaptive algorithm of region growing of local gray level by face image from overall diagram
Separate, distinguish face and hair with related algorithm so that face image is more suitable for facial feature extraction as in；
Cable network module is used to connect image capture module and image processing center, the image that camera device is collected
It is sent to image processing center；
Matching module is contrasted to be used to carry out age, sex, facial characteristics value, hair quality characteristic value and the data in database
Matching is compared, finds out suitable barber's hair style；
Hair quality situation overall merit module judges according to the soft or hard degree of hair quality, degree of roughness, moisture, oil content
The hair quality situation of barber, personalized hair quality situation overall merit is provided barber according to hair quality situation；
Output display module is used to that matching result, personalized hair quality situation overall merit progress output display will to be compared.
By taking a specific embodiment as an example, hairdresser shoots the face image and hair quality figure of a barber using instrument is imaged
As (hair image and scalp image), barber inputs age 25, sex female；Image is reached by image by cable network module
Processing center；Image processing center carries out face image processing to face image, obtains the Aspect Ratio of face close to 1:1, under
The position of jaw, the position of cheekbone and shape of face radian are the characteristic values such as width, carry out hair quality image procossing to hair quality image, obtain soft
Hard degree is moderate, degree of roughness is rougher, hair moisture is low, scalp oil content is more than the characteristic values such as moisture；It is logical
Cross the facial characteristics value that is obtained to image processing center of contrast matching module and the master sample value in the shape of face storehouse in database is entered
Row contrast, the matching shape of face for obtaining barber is square face, by the master sample in the hair quality storehouse in hair quality characteristic value and database
Value is contrasted, and the matching hair quality situation for obtaining barber is mixed type hair quality, and the synthesis of personalized hair quality situation is commented
Valency contributes to the grease of head skin secretion to arrive at the hair tip, allows the hair tip to be nourished, can also be spread in the hair tip often to comb one's hair
Disposable hair moisturizer prevents hair bifurcated；According to the age of barber, sex, matching shape of face, matching hair in MIM message input module
Matter situation is matched with the hair style picture group in the hair style storehouse in database, and it is oblique bang pear flower head to obtain matching hair style, pseudo-ginseng
Divide big wave curly hair etc.；Matching result is shown by display screen, selection is checked to barber, is selected and oneself is liked and be adapted to oneself
Hair style.
It should be appreciated that for those of ordinary skills, can according to the above description be improved or converted,
And all these modifications and variations should all belong to the protection domain of appended claims of the present invention.
Claims (10)
1. a kind of hair styling method based on image procossing, it is characterised in that comprise the following steps：
Input age, the sex of barber；
The face image and hair quality image of barber is obtained by camera device；
Face image and hair quality image are handled, extraction facial characteristics value, hair quality characteristic value；
Matching is compared with the data in database in age, sex, facial characteristics value, hair quality characteristic value, finds out suitable reason
The hair style of originator；
Matching result will be compared and carry out output display.
2. the hair styling method according to claim 1 based on image procossing, it is characterised in that：To face image and hair
Matter image is handled, and is the step of extraction facial characteristics value, hair quality characteristic value：
Face image processing is carried out to face image, obtains the Aspect Ratio of face, the position of lower jaw, the position of cheekbone, shape of face
Radian；Hair quality image procossing is carried out to hair quality image, the soft or hard degree of hair quality, degree of roughness, moisture, oil is obtained and contains
Amount.
3. the hair styling method according to claim 2 based on image procossing, it is characterised in that：Face image is carried out
Face image processing the step of be：The influence of noise, light to face image is filtered out using median filtering technology, recycled local
The adaptive algorithm of region growing of gray scale separates face image from general image, with related algorithm by face and head
Hair distinguishes so that face image is more suitable for the extraction of facial characteristics value；
The facial characteristics value also includes the face mask line and face position of barber, and the face position includes eyes position
Put, nose position, eyebrow position, Hp position.
4. the hair styling method according to claim 2 based on image procossing, it is characterised in that：According to the soft or hard of hair quality
Degree, degree of roughness, moisture, oil content judge the hair quality situation of barber, and barber is provided according to hair quality situation
Personalized hair quality situation overall merit.
5. the hair styling method according to claim 1 based on image procossing, it is characterised in that：Input barber's
Before age, sex, first pre-processed；
The step of pretreatment is：
The picture in hair style storehouse is classified according to sex and age bracket first；
Then according to the hair style that different shapes of face is adapted to previous item classification；
Further according to the hair style that different hair quality situations can be made to previous item classification again；
Finally classified according to previous item and carry out permutation and combination, hair style picture group corresponding to generation, stored in hair style storehouse.
A kind of 6. hair style design system based on image procossing, it is characterised in that：Including any described using claim 1-5
The device of hair styling method based on image procossing.
A kind of 7. hair style design system based on image procossing, it is characterised in that：Including
For input age of barber, sex MIM message input module；
For obtaining the face image of barber and the image capture module of hair quality image by camera device；
For being handled face image and hair quality image to extract in the image procossing of facial characteristics value, hair quality characteristic value
The heart；
For age, sex, facial characteristics value, hair quality characteristic value to be compared into matching with the data in database, find out suitable
The contrast matching module of reasonable originator hair style；
For the output display module of matching result progress output display will to be compared.
8. the hair style design system according to claim 7 based on image procossing, it is characterised in that：In described image processing
Pericardium includes face image processing module and hair quality image processing module, and face image processing module is used to carry out face to face image
Portion's image procossing, obtain the Aspect Ratio of face, the position of lower jaw, the position of cheekbone, shape of face radian；Hair quality image processing module
For carrying out hair quality image procossing to hair quality image, the soft or hard degree of hair quality, degree of roughness, moisture, oil content are obtained.
9. the hair style design system according to claim 8 based on image procossing, it is characterised in that：Face image handles mould
Block to face image carry out face image processing the step of be：Noise, light are filtered out to face image using median filtering technology
Influence, recycle the adaptive algorithm of region growing of local gray level to separate face image from general image, use
Related algorithm distinguishes face and hair so that face image is more suitable for facial feature extraction；
The facial feature extraction includes the face mask line and face position of extraction barber, and the face position includes eyes
Position, nose position, eyebrow position, Hp position.
10. the hair style design system according to claim 8 based on image procossing, it is characterised in that：The system is also wrapped
Hair quality situation overall merit module is included, the hair quality situation overall merit module is according to the soft or hard degree, degree of roughness, moisture of hair quality
Content, oil content judge the hair quality situation of barber, and it is comprehensive to provide personalized hair quality situation to barber according to hair quality situation
Close evaluation.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710729913.0A CN107545051A (en) | 2017-08-23 | 2017-08-23 | Hair style design system and method based on image procossing |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710729913.0A CN107545051A (en) | 2017-08-23 | 2017-08-23 | Hair style design system and method based on image procossing |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN107545051A true CN107545051A (en) | 2018-01-05 |
Family
ID=60958912
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710729913.0A Pending CN107545051A (en) | 2017-08-23 | 2017-08-23 | Hair style design system and method based on image procossing |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107545051A (en) |
Cited By (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108552707A (en) * | 2018-04-26 | 2018-09-21 | 北京小米移动软件有限公司 | Curling method and device |
| CN108629303A (en) * | 2018-04-24 | 2018-10-09 | 杭州数为科技有限公司 | A kind of shape of face defect identification method and system |
| CN108984772A (en) * | 2018-07-23 | 2018-12-11 | 京东方科技集团股份有限公司 | A kind of information recommending apparatus and method |
| CN109190574A (en) * | 2018-09-13 | 2019-01-11 | 郑州云海信息技术有限公司 | A kind of hair style recommended method, device, terminal and storage medium based on big data |
| CN109408940A (en) * | 2018-10-18 | 2019-03-01 | 杭州数为科技有限公司 | A kind of identification of hair style and restoring method, apparatus and system |
| CN109582815A (en) * | 2018-12-29 | 2019-04-05 | 王城楷 | A kind of intelligence hair styling method and system |
| CN109885704A (en) * | 2019-02-21 | 2019-06-14 | 杭州数为科技有限公司 | It is a kind of based on hair style identification intelligent hair style arrange care method and system |
| CN110349202A (en) * | 2019-07-05 | 2019-10-18 | 合肥聚美网络科技有限公司 | A kind of hair styling method based on shape of face analysis |
| CN110706360A (en) * | 2019-09-30 | 2020-01-17 | 淮阴工学院 | Artificial intelligence hairdo design device |
| CN110826260A (en) * | 2019-12-13 | 2020-02-21 | 北京数一数科技服务有限公司 | Hair style design method |
| CN112437117A (en) * | 2020-11-04 | 2021-03-02 | 西安米克为正电子科技有限公司 | Information pushing method based on barbershop environment |
| JP2021051352A (en) * | 2019-09-20 | 2021-04-01 | ヤフー株式会社 | Media system, information provision method and program |
| CN113724366A (en) * | 2020-05-25 | 2021-11-30 | 北京新氧科技有限公司 | 3D model generation method, device and equipment |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR100405328B1 (en) * | 2000-07-28 | 2003-11-12 | 이성환 | The real time hair,makeup and fashion accessary design system and method in the internet |
| WO2012060537A2 (en) * | 2010-11-02 | 2012-05-10 | 에스케이텔레콤 주식회사 | Recommendation system based on the recognition of a face and style, and method thereof |
| CN102622613A (en) * | 2011-12-16 | 2012-08-01 | 彭强 | Hair style design method based on eyes location and face recognition |
| JP2015111372A (en) * | 2013-12-06 | 2015-06-18 | 株式会社日立システムズ | Hairstyle determination support system and hairstyle determination support device |
| CN105045968A (en) * | 2015-06-30 | 2015-11-11 | 青岛理工大学 | Hairstyle design method and system |
| CN105069180A (en) * | 2015-06-19 | 2015-11-18 | 上海卓易科技股份有限公司 | Hair style design method and system |
| CN106919738A (en) * | 2017-01-19 | 2017-07-04 | 深圳市赛亿科技开发有限公司 | A kind of hair style matching process |
-
2017
- 2017-08-23 CN CN201710729913.0A patent/CN107545051A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR100405328B1 (en) * | 2000-07-28 | 2003-11-12 | 이성환 | The real time hair,makeup and fashion accessary design system and method in the internet |
| WO2012060537A2 (en) * | 2010-11-02 | 2012-05-10 | 에스케이텔레콤 주식회사 | Recommendation system based on the recognition of a face and style, and method thereof |
| CN102622613A (en) * | 2011-12-16 | 2012-08-01 | 彭强 | Hair style design method based on eyes location and face recognition |
| JP2015111372A (en) * | 2013-12-06 | 2015-06-18 | 株式会社日立システムズ | Hairstyle determination support system and hairstyle determination support device |
| CN105069180A (en) * | 2015-06-19 | 2015-11-18 | 上海卓易科技股份有限公司 | Hair style design method and system |
| CN105045968A (en) * | 2015-06-30 | 2015-11-11 | 青岛理工大学 | Hairstyle design method and system |
| CN106919738A (en) * | 2017-01-19 | 2017-07-04 | 深圳市赛亿科技开发有限公司 | A kind of hair style matching process |
Cited By (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108629303A (en) * | 2018-04-24 | 2018-10-09 | 杭州数为科技有限公司 | A kind of shape of face defect identification method and system |
| CN108552707A (en) * | 2018-04-26 | 2018-09-21 | 北京小米移动软件有限公司 | Curling method and device |
| CN108984772A (en) * | 2018-07-23 | 2018-12-11 | 京东方科技集团股份有限公司 | A kind of information recommending apparatus and method |
| CN109190574A (en) * | 2018-09-13 | 2019-01-11 | 郑州云海信息技术有限公司 | A kind of hair style recommended method, device, terminal and storage medium based on big data |
| CN109408940A (en) * | 2018-10-18 | 2019-03-01 | 杭州数为科技有限公司 | A kind of identification of hair style and restoring method, apparatus and system |
| CN109582815A (en) * | 2018-12-29 | 2019-04-05 | 王城楷 | A kind of intelligence hair styling method and system |
| CN109582815B (en) * | 2018-12-29 | 2023-11-14 | 王城楷 | Intelligent hair style design method and system |
| CN109885704A (en) * | 2019-02-21 | 2019-06-14 | 杭州数为科技有限公司 | It is a kind of based on hair style identification intelligent hair style arrange care method and system |
| CN110349202B (en) * | 2019-07-05 | 2021-07-20 | 合肥聚美网络科技有限公司 | Hairstyle design method based on face analysis |
| CN110349202A (en) * | 2019-07-05 | 2019-10-18 | 合肥聚美网络科技有限公司 | A kind of hair styling method based on shape of face analysis |
| JP2021051352A (en) * | 2019-09-20 | 2021-04-01 | ヤフー株式会社 | Media system, information provision method and program |
| CN110706360A (en) * | 2019-09-30 | 2020-01-17 | 淮阴工学院 | Artificial intelligence hairdo design device |
| CN110826260A (en) * | 2019-12-13 | 2020-02-21 | 北京数一数科技服务有限公司 | Hair style design method |
| CN113724366A (en) * | 2020-05-25 | 2021-11-30 | 北京新氧科技有限公司 | 3D model generation method, device and equipment |
| CN113724366B (en) * | 2020-05-25 | 2024-02-27 | 北京新氧科技有限公司 | 3D model generation method, device and equipment |
| CN112437117A (en) * | 2020-11-04 | 2021-03-02 | 西安米克为正电子科技有限公司 | Information pushing method based on barbershop environment |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107545051A (en) | Hair style design system and method based on image procossing | |
| US20210005003A1 (en) | Method, apparatus, and system generating 3d avatar from 2d image | |
| CN104346136B (en) | A kind of method and device of picture processing | |
| Jain et al. | On detecting GANs and retouching based synthetic alterations | |
| KR102316723B1 (en) | Body-tailored coordinator system using artificial intelligence | |
| CN110755847B (en) | Virtual operation object generation method and device, storage medium and electronic device | |
| US9245369B2 (en) | Method and apparatus for generating an avatar | |
| KR20160086687A (en) | Analyses of condition based on the peculiarity of face temperature distribution | |
| CN105069180A (en) | Hair style design method and system | |
| CN109189967A (en) | A kind of lift face proposal recommending method, device and storage medium based on recognition of face | |
| US20090248748A1 (en) | Method and System for Applying Beauty Treatments to an Individual by Generalizing Their Features | |
| Park et al. | An automatic virtual makeup scheme based on personal color analysis | |
| CN109961018A (en) | Electroencephalogramsignal signal analysis method, system and terminal device | |
| CN108784651A (en) | The commending system of U.S. industry product and service based on artificial intelligence | |
| KR20100096393A (en) | Apparatus and method for providing personal image in on-line interface | |
| Bottino et al. | The analysis of facial beauty: an emerging area of research in pattern analysis | |
| CN110059247A (en) | A kind of personalization based on artificial intelligence technology, which is worn, takes recommender system | |
| CN107783686A (en) | Vanity mirror based on virtual technology | |
| Varshovi | Facial makeup detection using HSV color space and texture analysis | |
| 임인숙 | The trend of creating atypical male images in heterosexist Korean society | |
| CN115581456A (en) | Method, device and system for generating artwork | |
| KR20200067369A (en) | System and method for offering personal customized cosmetic information | |
| Villon et al. | Toward building adaptive user’s psycho-physiological maps of emotions using bio-sensors | |
| CN110069716B (en) | Beautiful makeup recommendation method and system and computer-readable storage medium | |
| CN110930294A (en) | Intelligent hair style recommendation and presentation method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20180105 |
|
| RJ01 | Rejection of invention patent application after publication |