CN107688985A - A kind of garment coordination commending system based on style element - Google Patents
A kind of garment coordination commending system based on style element Download PDFInfo
- Publication number
- CN107688985A CN107688985A CN201710727509.XA CN201710727509A CN107688985A CN 107688985 A CN107688985 A CN 107688985A CN 201710727509 A CN201710727509 A CN 201710727509A CN 107688985 A CN107688985 A CN 107688985A
- Authority
- CN
- China
- Prior art keywords
- clothes
- clothing
- recognition unit
- shoulder
- coefficient
- 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.)
- Withdrawn
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0641—Shopping interfaces
- G06Q30/0643—Graphical representation of items or shoppers
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/46—Descriptors for shape, contour or point-related descriptors, e.g. scale invariant feature transform [SIFT] or bags of words [BoW]; Salient regional features
- G06V10/462—Salient features, e.g. scale invariant feature transforms [SIFT]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/56—Extraction of image or video features relating to colour
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- Finance (AREA)
- Accounting & Taxation (AREA)
- Multimedia (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Development Economics (AREA)
- Economics (AREA)
- Marketing (AREA)
- Strategic Management (AREA)
- General Business, Economics & Management (AREA)
- Image Analysis (AREA)
Abstract
The present invention relates to a kind of garment coordination commending system based on style element, it is characterised in that including：Garment coordination device, for by image analysis processing, with reference to clothes element classification basic data, the style element of all kinds of clothes is analyzed, so as to obtain the garment coordination of specific style element；Clothes recommendation apparatus, the garment coordination of specific style element is obtained based on garment coordination device, with reference to the various style elements of existing clothes shop, there is the wholesale shelves mouth of identical style element to clothes shop's intelligent recommendation.
Description
Technical field
The present invention relates to garment coordination and the technical field of recommendation, more particularly to a kind of garment coordination based on style element
Commending system.
Background technology
Existing clothes shop is distributed in the different commercial circles in each city, and the B ends convergence of part is formd in commercial circle, but
Many problems are equally brought, sell the style, price, the homogeneous serious problems for consuming personnel crowd of clothes, each shop
Between competition again it is very fierce.Because of raising up year by year for shop rent, the operated pressure in clothes shop increases year by year, profit space
Diminish.
And in provincial capital's first class city, there is the clothing wholesale market that scale does not wait substantially, region concentration degree is very high.It is wholesale
The homogeneous situation of clothes is extremely serious in market, often occurs copying the harmful competitions such as money, imitation.And the shoppers' guide in market
Professional standards it is uneven, can not be provided for customer be adapted to its characteristic feature garment coordination.
Therefore, prior art still has much room for improvement and developed.
The content of the invention
The present invention has been made at least to solve problem as described above and shortcoming, and provides at benefit described below
Place.Therefore, one aspect of the present invention provides a kind of garment coordination commending system based on style element, it is characterised in that
Including：Garment coordination device, for by image analysis processing, with reference to clothes element classification basic data, analyzing all kinds of clothes
Style element, so as to obtain the garment coordination of specific style element；Clothes recommendation apparatus, spy is obtained based on garment coordination device
Determine the garment coordination of style element, with reference to the various style elements of existing clothes shop, have identical wind to clothes shop's intelligent recommendation
The wholesale shelves mouth of lattice element.
Preferably, in addition to wholesale shelves mouth managing device, the style class of wholesale shelves mouth is recorded according to region and calendar variation
Type.
Preferably, the clothes element classification basic data further comprises：
Spring clothing：Small fragrant breeze, Europe version, leopard line, rivet, tasselled, locomotive；Summer clothing：Pseudo-classic, lace, chiffon, striped, heavy industry, dew
Shoulder；Autumn clothing：Linen-cotton, it is gloomy be, commute, cultivating one's moral character, tasselled, splicing；Winter dress：It is bandage, Korea Spro's version, cowboy, velvet, jacket, double-breasted.
Preferably, the garment coordination device further comprises：Image processing unit early stage；Clothes fashion recognition unit；
Clothing color recognition unit；The recognition unit of colour sensation；The recognition unit of clothes flash effect；The identification list of clothing popularity decorative pattern
Member.
Preferably, described image processing unit early stage；Control is implemented for the size to sample image and resolution ratio
System；It is used for the segmentation of dressing human body and background using two-dimentional OTSU algorithms and FCM algorithms；By mathematical morphology means to dressing
Human body has carried out contours extract.
Preferably, the clothes fashion recognition unit；It is wide using section for being extracted the width of each section on image
Degree proportionate relationship proposes profile coefficient to characterize the degree of closeness of clothes fashion and various common clothing silhouettes；To shoulder regio pectoris section two
The contour line of side is analyzed, and is proposed that direction sequence discloses the feature of shoulder neck point and shoulder height point in shoulder line, is thereby determined that shoulder neck
The position of point and shoulder height point, calculates shoulder angle and dropped shoulder amount；The width of chest lumbar region section is analyzed, obtains waist level
Feature on width curve, thereby determines that the position of waist level, and it is wide high with waist to have calculated waist；Leg section is entered
Row analysis, the feature of hipline is disclosed from width difference curves, identifies the position where the bottom, has calculated bottom height
It is wide with the bottom.
Preferably, the clothing color recognition unit；For carrying out statistical analysis to the color in dressing human body contour outline, obtain
The hue distribution figure of dressing human body has been arrived, on this basis according to Similar colour principle, hue circle has been divided into 24 regions, obtained
Regional distribution chart, the dominant hue of clothing color is determined by accounting highest hue region in regional distribution chart；Considering area
On the basis of influence, establish hue contrast's degree formula, calculate and quantify Similar colour on clothing color, Adjacent color, middle dyeing and
Contrastive colours；Establish comparison or purity degree formula and brightness contrast's degree formula.
Preferably, the recognition unit of the colour sensation；It is public for establishing hardness factor, weight coefficient and the clear and definite coefficient of changes in temperature
Formula, enable clothes visual soft or hard sense, weight sense and changes in temperature sense quantitative expression；Comprehensive hardness, weight and temperature sense, respectively
Left and right two parts of dressing human body contour outline are investigated, propose to characterize the coefficient of balance of the visual sense of equilibrium of clothes；From Lab colors
The angle of difference proposes the coefficient of roughness, and to express the cunning astringent sense of fabric, Lab aberration is counted in dressing human body contour outline, represents clothes
Fill visual sliding astringent sense.
Preferably, the recognition unit of the clothes flash effect；For to doing ray brightness tracking in image, obtaining bright spot
Brightness, area and hit rate, establish the notable coefficient formula of bright spot, and discuss and approach control to the shadow of the notable coefficient of bright spot
Ring；On the basis of the notable coefficient of bright spot, bright spot skeleton matrix is proposed, flash factor has been drawn by analyzing bright spot skeleton matrix
Formula, to characterize the flash effect on ornamental clothes.
Preferably, the recognition unit of the clothing popularity decorative pattern；For proposing panorama sketch using multiscale analysis technology
Concept, for investigating the continuity of the i.e. pattern of clothing color repeatability, drawn from panorama sketch and repeated angle and repeatedly yardstick,
Continuity parameter thereby determines that；Conjugation ascent is proposed, for distinguishing and identifying that two sides are continuous and quartet continuous pattern.
Preferably, it is as follows using client to select the step of stocking up by user：
User is during client use, the first step, and registration logs in, and selects " I is retail shop storekeeper " identity；Second step,
Essential information is filled in, selects scope of operation, customer group；3rd step, label is added, supplement shop style element；4th step, enters
Enter homepage, click on upper right corner camera button shooting garment image；5th step, commodity style element in system Intelligent Recognition figure, is pushed away
Recommend the close source of goods of style；6th step, shelves mouth commodity are checked, select goods to place an order.
The present invention reaches following beneficial effect：
Analyzed based on big data, the style of all kinds of women's dresses is analyzed, with reference to the various elements of existing clothes shop, to clothes
Shop intelligent recommendation has the wholesale shelves mouth of identical style element, mitigates clothes shop master and frequently selects work of stocking up.Also have more simultaneously
Various Seasonal, the demand of different geographical customer, recommend stylish garment collocation in time, improve the liveness in market.The system is obvious
The higher professional requirement to shoppers' guide is reduced, while also greatly simplify shops's procurement process.
Brief description of the drawings
Fig. 1 is the first step schematic diagram that client provided by the invention is operated by user interface；
Fig. 2 is the second step schematic diagram that client provided by the invention is operated by user interface；
Fig. 3 is the third step schematic diagram that client provided by the invention is operated by user interface；
Fig. 4 is the four steps schematic diagram that client provided by the invention is operated by user interface；
Fig. 5 is the 5th step schematic diagram that client provided by the invention is operated by user interface；
Fig. 6 is the 6th step schematic diagram that client provided by the invention is operated by user interface；
Fig. 7 is the schematic diagram of the user interface of client provided by the invention；
Fig. 8 is the schematic diagram of the user interface of client provided by the invention.
Embodiment
Now with detailed reference to embodiments of the invention, their example is shown in the drawings, wherein, identical reference
Numerals indicate identical element.Thus, embodiments of the invention can have a different forms, and should not be by
It is considered limited to description given here.Therefore, these embodiments are described only for the explanation present invention's below with reference to accompanying drawing
Each side.
Technical scheme is as follows：
First in different cities, office is set, the clothes shop of same type is selected by professional, passes through various numbers
According to analysis result, with reference to market strategy, intensive buying at satisfactory wholesale shelves mouth is drained into, reduces purchase cost.Utilize
Intensive buying, increase the circulation of goods speed of whole seller, therefrom obtain more profits.And single product output can be expanded, reduce
Production cost.
, it is necessary to be passed through by the specialty of apparel industry for many years before drainage clothes storekeeper to wholesale shelves mouth carries out intensive buying
Accumulation is tested, gropes to sum up a series of clothes element classification basic datas.Below by taking women's dress as an example, Partial Elements are enumerated：
Spring clothing：
Small fragrant breeze, Europe version, leopard line, rivet, tasselled, locomotive etc..
Summer clothing：
Pseudo-classic, lace, chiffon, striped, heavy industry, dew shoulder etc..
Autumn clothing：
Linen-cotton, it is gloomy be, commute, cultivating one's moral character, tasselled, splicing etc..
Winter dress：
Bandage, Korea Spro's version, cowboy, velvet, jacket, double-breasted etc..
The style of all kinds of women's dresses is analyzed, with reference to the various elements style of existing clothes shop, to clothes shop's intelligent recommendation
There is the wholesale shelves mouth of identical style element, mitigate clothes shop master and frequently select work of stocking up.
The image processing process used in garment coordination system is detailed below, in processing links early stage of image,
Size and resolution ratio first to sample image implement control, with the specification and structure of unified image；Then discuss
The advantage and disadvantage of two-dimentional OTSU algorithms and FCM algorithms in image segmentation problem, it is proposed that modified hydrothermal process be used for dressing human body with
The segmentation of background；Research application has carried out contours extract using mathematical morphology means to dressing human body, and discuss form because
Offset problem caused by son and its compensatory approach.
In terms of clothes fashion identification, the width of each section on image is extracted, is carried using sector width proportionate relationship
The concept of profile coefficient is gone out, to characterize the degree of closeness of clothes fashion and various common clothing silhouettes；To shoulder regio pectoris section two
The contour line of side is analyzed, it is proposed that the concept of direction sequence, the feature of shoulder neck point and shoulder height point in shoulder line is disclosed, by
This determines the position of shoulder neck point and shoulder height point, has calculated shoulder angle and dropped shoulder amount；The width of chest lumbar region section is analyzed,
Feature of the waist level on width curve is disclosed, has thereby determined that the position of waist level, and it is wide to have calculated waist
With waist height；Leg section is analyzed, the feature of hipline is disclosed from width difference curves, where identifying the bottom
Position, it is high wide with the bottom bottom is calculated.
In terms of clothing color identification, from hsv color model, the color in dressing human body contour outline is carried out statistics and
Analysis, has obtained the hue distribution figure of dressing human body, on this basis according to Similar colour principle, hue circle is divided into 24 areas
Domain, regional distribution chart is obtained, determine the dominant hue of clothing color by accounting highest hue region in regional distribution chart；Examining
On the basis of considering area effect, hue contrast's degree formula is established so that Similar colour, Adjacent color, middle dyeing on clothing color
And contrastive colours are able to calculate and quantified；Establish comparison or purity degree formula and brightness contrast's degree formula so that purity traditionally
Contrast and brightness contrast's type are able to quantitative expression.
In terms of the identification of colour sensation, it is the influence of changes in temperature to soft or hard, weight from color three elements, establishes hardness
Coefficient, weight coefficient and the clear and definite coefficient formula of changes in temperature, enable clothes visual soft or hard sense, weight sense and changes in temperature sense quantization table
Reach；Comprehensive hardness, weight and temperature sense, investigate left and right two parts of dressing human body contour outline respectively, it is proposed that coefficient of balance it is general
Read, to characterize the visual sense of equilibrium of clothes.The concept of the coefficient of roughness is proposed from the angle of Lab aberration, to the face of expressing
The cunning astringent sense of material, Lab aberration is counted in dressing human body contour outline, express the visual sliding astringent sense of clothes.
In terms of the identification of clothes flash effect, to doing ray brightness tracking in image, obtain the brightness of bright spot, area and
Hit rate, the notable coefficient formula of bright spot is established, and discuss the influence for approaching control to the notable coefficient of bright spot；It is notable in bright spot
On the basis of coefficient, it is proposed that bright spot skeleton matrix, flash factor formula has been drawn by analyzing bright spot skeleton matrix, to table
Levy the flash effect on ornamental clothes.
In terms of the identification of clothing popularity decorative pattern, the concept of panorama sketch is proposed using multiscale analysis technology, for examining
Examine the continuity of the i.e. pattern of clothing color repeatability, drawn from panorama sketch and repeated angle and repeatedly yardstick, continuity parameter by
This determination；Conjugation ascent is proposed, for distinguishing and identifying that two sides are continuous and quartet continuous pattern.
User selects the step of stocking up as shown in figures 1-6 using client：
During user's use, the first step, registration logs in, and selects " I is retail shop storekeeper " identity；Second step, fill in base
This information, select scope of operation, customer group；3rd step, label is added, supplement shop style element；4th step, into head
Page, click on upper right corner camera button shooting garment image；5th step, commodity style element in system Intelligent Recognition figure, recommend wind
The close source of goods of lattice；6th step, shelves mouth commodity are checked, select goods to place an order.
It the above is only the optional embodiment of the present invention, any formal limitation not done to the present invention, it is every
Any simple modification, equivalent variations, combination or the modification that technical spirit according to the present invention is made to embodiment of above, still
Belong to the protection domain of technical solution of the present invention.
One of ordinary skill in the art will appreciate that all or part of step in the above method can be instructed by program
Related hardware (such as processor) is completed, and described program can be stored in computer-readable recording medium, as read-only storage,
Disk or CD etc..Alternatively, all or part of step of above-described embodiment can also be come using one or more integrated circuits
Realize.Correspondingly, each module/unit in above-described embodiment can be realized in the form of hardware, such as pass through integrated electricity
Its corresponding function is realized on road, can also be realized in the form of software function module, such as be stored in by computing device
Program/instruction in memory realizes its corresponding function.The present invention is not restricted to the hardware and software of any particular form
With reference to.
Although the embodiment disclosed by the application is as above, described content is only to readily appreciate the application and use
Embodiment, the application is not limited to, such as the concrete implementation method in embodiment of the present invention.Belonging to any the application
Technical staff in field, on the premise of the spirit and scope disclosed by the application are not departed from, can implementation form and
Any modification and change, but the scope of patent protection of the application are carried out in details, still must be with appended claims institute circle
Fixed scope is defined.
Described above is the preferred embodiment of the present invention, it is noted that for those skilled in the art
For, on the premise of principle of the present invention is not departed from, some improvements and modifications can also be made, these improvements and modifications
It should be regarded as protection scope of the present invention.
Claims (10)
- A kind of 1. garment coordination commending system based on style element, it is characterised in that including：Garment coordination device, for by image analysis processing, with reference to clothes element classification basic data, analyzing all kinds of clothes Style element, so as to obtain the garment coordination of specific style element；Clothes recommendation apparatus, the garment coordination of specific style element is obtained based on garment coordination device, with reference to existing clothes shop Various style elements, have the wholesale shelves mouth of identical style element to clothes shop's intelligent recommendation.
- 2. the system as claimed in claim 1, it is characterised in that also including wholesale shelves mouth managing device, according to region and season Difference records the stylistic category of wholesale shelves mouth.
- 3. the system as described in claim any one of 1-2, it is characterised in that the clothes element classification basic data is further Including：Spring clothing：Small fragrant breeze, Europe version, leopard line, rivet, tasselled, locomotive；Summer clothing：Pseudo-classic, lace, chiffon, striped, heavy industry, dew shoulder； Autumn clothing：Linen-cotton, it is gloomy be, commute, cultivating one's moral character, tasselled, splicing；Winter dress：It is bandage, Korea Spro's version, cowboy, velvet, jacket, double-breasted.
- 4. the system as described in any one of claim 3, it is characterised in that the garment coordination device further comprises：Image Early stage processing unit；Clothes fashion recognition unit；Clothing color recognition unit；Colour sensation recognition unit；Clothes flash effect Recognition unit；The recognition unit of clothing popularity decorative pattern.
- 5. the system as described in any one of claim 4, it is characterised in that described image processing unit early stage；For to sample The size and resolution ratio of image implement control；It is used for dressing human body and background using two-dimentional OTSU algorithms and FCM algorithms Segmentation；Contours extract has been carried out to dressing human body by mathematical morphology means.
- 6. the system as described in any one of claim 4, it is characterised in that the clothes fashion recognition unit；For being extracted The width of each section on image, using sector width proportionate relationship propose profile coefficient with characterize clothes fashion with it is various common The degree of closeness of clothing silhouette；The contour line of shoulder regio pectoris section both sides is analyzed, proposes that direction sequence discloses shoulder neck point and shoulder Feature of the high point in shoulder line, the position of shoulder neck point and shoulder height point is thereby determined that, calculates shoulder angle and dropped shoulder amount；To chest lumbar region The width of section is analyzed, and obtains feature of the waist level on width curve, thereby determines that the position of waist level, and It is wide high with waist waist has been calculated；Leg section is analyzed, the feature of hipline is disclosed from width difference curves, is identified Position where the bottom, has calculated that the bottom is high and the bottom is wide.
- 7. the system as described in any one of claim 4, it is characterised in that the clothing color recognition unit；For to dressing Color in human body contour outline carries out statistical analysis, the hue distribution figure of dressing human body has been obtained, on this basis according to Similar colour Principle, hue circle is divided into 24 regions, obtains regional distribution chart, by accounting highest hue region in regional distribution chart Determine the dominant hue of clothing color；On the basis of area effect is considered, hue contrast's degree formula is established, calculates and quantifies clothes Similar colour, Adjacent color, middle dyeing and contrastive colours on color；Establish comparison or purity degree formula and brightness contrast's degree formula.
- 8. the system as described in any one of claim 4, it is characterised in that the recognition unit of the colour sensation；It is hard for establishing Coefficient, weight coefficient and the clear and definite coefficient formula of changes in temperature are spent, clothes visual soft or hard sense, weight sense and changes in temperature sense is quantified Expression；Comprehensive hardness, weight and temperature sense, investigate left and right two parts of dressing human body contour outline, propose to characterize clothes respectively The coefficient of balance of the visual sense of equilibrium；The coefficient of roughness is proposed from the angle of Lab aberration, to express the cunning astringent sense of fabric, Statistics Lab aberration in dressing human body contour outline, represents the visual sliding astringent sense of clothes.
- 9. the system as described in any one of claim 4, it is characterised in that the recognition unit of the clothes flash effect；For To doing ray brightness tracking in image, brightness, area and the hit rate of bright spot are obtained, establishes the notable coefficient formula of bright spot, and beg for The influence for approaching control to the notable coefficient of bright spot is discussed；On the basis of the notable coefficient of bright spot, bright spot skeleton matrix is proposed, is passed through Analysis bright spot skeleton matrix has drawn flash factor formula, to characterize the flash effect on ornamental clothes.
- 10. the system as described in any one of claim 4, it is characterised in that the recognition unit of the clothing popularity decorative pattern；For The concept of panorama sketch is proposed using multiscale analysis technology, for investigating the clothing color repeatability i.e. continuity of pattern, from Drawn on panorama sketch and repeated angle and repeat yardstick, continuity parameter thereby determines that；Conjugation ascent is proposed, for distinguishing and knowing Other two sides are continuous and quartet continuous pattern.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710727509.XA CN107688985A (en) | 2017-08-23 | 2017-08-23 | A kind of garment coordination commending system based on style element |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710727509.XA CN107688985A (en) | 2017-08-23 | 2017-08-23 | A kind of garment coordination commending system based on style element |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN107688985A true CN107688985A (en) | 2018-02-13 |
Family
ID=61153600
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710727509.XA Withdrawn CN107688985A (en) | 2017-08-23 | 2017-08-23 | A kind of garment coordination commending system based on style element |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107688985A (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109377240A (en) * | 2018-08-21 | 2019-02-22 | 中国平安人寿保险股份有限公司 | Trade company's management method, device, computer equipment and storage medium neural network based |
| CN110348529A (en) * | 2019-07-16 | 2019-10-18 | 韶关市启之信息技术有限公司 | A kind of intelligent clothes Trend of fashion prediction technique and system |
| CN112270221A (en) * | 2020-10-14 | 2021-01-26 | 西安工程大学 | Garment personalized recommendation method fusing four-season color theory |
| CN113222971A (en) * | 2021-05-31 | 2021-08-06 | 深圳市蝶讯网科技股份有限公司 | Method for browsing styles by colors and collocation, computer equipment and storage medium |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104268544A (en) * | 2014-10-14 | 2015-01-07 | 陶晨 | Evaluation system for clothes visual effect |
| US20160275600A1 (en) * | 2011-02-17 | 2016-09-22 | Metail Limited | Computer implemented methods and systems for generating virtual body models for garment fit visualisation |
| CN106203313A (en) * | 2016-07-05 | 2016-12-07 | 昆明理工大学 | The clothing classification of a kind of image content-based and recommendation method |
| CN106504064A (en) * | 2016-10-25 | 2017-03-15 | 清华大学 | Clothes classification based on depth convolutional neural networks recommends method and system with collocation |
| CN106779977A (en) * | 2017-01-16 | 2017-05-31 | 深圳市娜尔思时装有限公司 | A kind of garment coordination method and its system based on intelligent mobile terminal |
-
2017
- 2017-08-23 CN CN201710727509.XA patent/CN107688985A/en not_active Withdrawn
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20160275600A1 (en) * | 2011-02-17 | 2016-09-22 | Metail Limited | Computer implemented methods and systems for generating virtual body models for garment fit visualisation |
| CN104268544A (en) * | 2014-10-14 | 2015-01-07 | 陶晨 | Evaluation system for clothes visual effect |
| CN106203313A (en) * | 2016-07-05 | 2016-12-07 | 昆明理工大学 | The clothing classification of a kind of image content-based and recommendation method |
| CN106504064A (en) * | 2016-10-25 | 2017-03-15 | 清华大学 | Clothes classification based on depth convolutional neural networks recommends method and system with collocation |
| CN106779977A (en) * | 2017-01-16 | 2017-05-31 | 深圳市娜尔思时装有限公司 | A kind of garment coordination method and its system based on intelligent mobile terminal |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109377240A (en) * | 2018-08-21 | 2019-02-22 | 中国平安人寿保险股份有限公司 | Trade company's management method, device, computer equipment and storage medium neural network based |
| CN109377240B (en) * | 2018-08-21 | 2023-10-20 | 中国平安人寿保险股份有限公司 | Commercial tenant management method and device based on neural network, computer equipment and storage medium |
| CN110348529A (en) * | 2019-07-16 | 2019-10-18 | 韶关市启之信息技术有限公司 | A kind of intelligent clothes Trend of fashion prediction technique and system |
| CN110348529B (en) * | 2019-07-16 | 2021-10-22 | 上海惟也新文化科技有限公司 | Intelligent clothes fashion style prediction method and system |
| CN112270221A (en) * | 2020-10-14 | 2021-01-26 | 西安工程大学 | Garment personalized recommendation method fusing four-season color theory |
| CN113222971A (en) * | 2021-05-31 | 2021-08-06 | 深圳市蝶讯网科技股份有限公司 | Method for browsing styles by colors and collocation, computer equipment and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106779977B (en) | Clothing matching method and system based on intelligent mobile terminal | |
| CN107688985A (en) | A kind of garment coordination commending system based on style element | |
| Dwyer et al. | Commodifying difference: selling EASTern fashion | |
| CN108764998A (en) | Intelligence displaying device and intelligent methods of exhibiting | |
| Scott et al. | The British ‘failure’that never was? The Anglo‐American ‘productivity gap’in large‐scale interwar retailing—evidence from the department store sector 1 | |
| JP6586706B2 (en) | Image analysis apparatus, image analysis method, and program | |
| Ko et al. | Moderating effect of lifestyle on consumer behavior of loungewear with Korean traditional fashion design elements | |
| CN1873679A (en) | System for selecting and fitting on clothes in computer network for supermarket of wearing apparel | |
| Forsythe et al. | Dimensions of apparel quality influencing consumers' perceptions | |
| CN107464145A (en) | A kind of method of commerce and system based on solid shop/brick and mortar store under line | |
| Schwartzman | Uncertainty and the Size of the Firm | |
| Akter | Jute goods exports to Australia: an analysis of market potentials for Bangladeshi jute products | |
| Fowler et al. | A comparison of apparel quality: Outlet stores versus department stores | |
| Letunovska et al. | Peculiarities of innovations implementation on the Ukrainian brand example | |
| Mai et al. | A preliminary investigation of niche clothing brand design optimization based on ADDIE model | |
| Ferrante et al. | Socio-Economic Effects in the Knitwear Sector—A Life Cycle-Based Approach Towards the Definition of Social Indicators | |
| Anisuzzaman et al. | Online trial room based on human body shape detection | |
| Mastamet-Mason | An explication of the problems with apparel fit experienced by female Kenyan consumers in terms of their unique body shape characteristics | |
| Hengky | Image analysis: textile industry in Indonesia | |
| To Figueras | Wedding trousseaus and cloth consumption in C atalonia around 1300 | |
| Faust | Apparel size designation and labeling | |
| Turapovna | Clothes market in Uzbekistan: competitive environment, development | |
| Mally et al. | The Origins of the New Half Sizes in the 1920s | |
| Ajila | An Appraisal of Traditional Woven Fabric Production in Southwestern Nigeria. | |
| Aisyah et al. | Role of Product Quality and Store Atmosphere on Purchase Decision of Clothing Product Vintage Vibes |
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 | ||
| WW01 | Invention patent application withdrawn after publication | ||
| WW01 | Invention patent application withdrawn after publication |
Application publication date: 20180213 |