CN103455920A - Fitting method and fitting system - Google Patents
Fitting method and fitting system Download PDFInfo
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- CN103455920A CN103455920A CN 201210174588 CN201210174588A CN103455920A CN 103455920 A CN103455920 A CN 103455920A CN 201210174588 CN201210174588 CN 201210174588 CN 201210174588 A CN201210174588 A CN 201210174588A CN 103455920 A CN103455920 A CN 103455920A
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Abstract
The invention relates to a fitting method and a fitting system. The fitting method includes acquiring and storing self-owned clothes data of users, acquiring and storing clothes matching data structures and merchant clothes data, selecting first clothes data from the self-owned clothes data, and recommending second clothes data matched with the first clothes data from the merchant clothes data according to the first clothes data and the clothes matching data structures. By the fitting method and the fitting system, other clothes matched with clothes which the users already have can be recommended to the users rapidly.
Description
Technical field
The present invention relates to a kind of fitting method and system.
Background technology
Generally include and take model or two kinds of modes of 3D modeling for the existing clothes acquisition technique gathered in the thread clothing storehouse, these two kinds of modes respectively have its shortcoming, and wherein taking model's mode needs a large amount of human inputs, and can't customize after taking; The 3D modeling pattern need to gather accurate model and pinup picture data, and its process is loaded down with trivial details, and domestic consumer can't operate.Therefore, due to product orientation, the content acquisition mode of dressing system, play up the mode difference, existing clothes acquisition technique all can't be promoted and widespread use.
Existing online fitting method or system have following three kinds usually:
1, shopping auxiliary type, this method or system only can utilize online existing clothes to be fitted, and the user tries on and experiences poorly, and the clothes of fitting are made by businessman, and its cost is higher, extendability is poor;
2, custom made clothing type, this fitting method or system are only applicable to the clothes of customizable style as the shirt western-style clothes, and because needs are taken the photo at each position of clothes, its cost of manufacture is high, is difficult to realize that collocation, extendability between different brands are poor;
3, amusement type, this fitting method or system only provide the virtual figure image of masterplate formula and dress and experience, and its authenticity is poor, and user oneself can't be expanded on model, only can put on the clothes that businessman customizes, do the operations such as some simple change colors or stature.
The clothes that above-mentioned three kinds of existing online fitting methods or system all can't the typing user have had, the clothes that also can't have for these provide collocation to recommend to the user.
Summary of the invention
The object of the present invention is to provide a kind of fitting method and system, can recommend other clothes of arranging in pairs or groups mutually with its clothes that oneself had for the user quickly.
For addressing the above problem, the invention provides a kind of fitting method, comprising:
Obtain and store user's own clothes data;
Obtain and store clothes collocation data structure and businessman's clothes data;
Select the first clothes data from described own clothes data; And
Recommend the second clothes data of arranging in pairs or groups mutually with described the first clothes data according to described the first clothes data with described clothes collocation data structure from described businessman clothes data.
Further, in said method, recommend the step of the second clothes data of arranging in pairs or groups mutually with described the first clothes data from described businessman clothes data according to described the first clothes data and described clothes collocation data structure after, also comprise:
Obtain user's build data;
Play up and generate the fitting model according to described build data, the first clothes data and the second clothes data.
Further, in said method, after playing up according to described build data, the first clothes data and the second clothes data the step that generates the fitting model, also comprise and show and store described fitting model.
Further, in said method, after obtaining and store the step of clothes collocation data structure and businessman's clothes data, also comprise described own clothes data are stored to described businessman clothes data.
Further, in said method, described own clothes data are stored into to the step of described businessman clothes data, also comprise issuing and share described own clothes data.
Further, in said method, described own clothes data, businessman's clothes data comprise clothes ID, clothes title, clothes thumbnail, detail view and play up data.
Further, in said method, described businessman clothes data also comprise buys link.
Further, in said method, the step of obtaining and storing user's own clothes data comprises:
The key point of default different classes of clothes arranges data structure;
Obtain user's own clothes photo and clothes classification;
Remove the background color of described own clothes photo and generate clothes front texture;
Data structure building is set and stores described own clothes data according to described clothes front texture, clothes classification and key point.
According to another side of the present invention, a kind of dressing system is provided, comprising:
Client for obtaining and store user's own clothes data, and is selected the first clothes data from own clothes data; And
Service end for obtaining and store clothes collocation data structure and businessman's clothes data, is recommended the second clothes data of arranging in pairs or groups mutually with described the first clothes data according to described the first clothes data with described clothes collocation data structure from described businessman clothes data.
Further, in said system, described client comprises:
The clothes acquisition module, for gathering user's own clothes data;
Local garment data, for storing described own clothes data;
Browser module, for selecting the first clothes data from own clothes data and asking described service end to recommend the second clothes data of arranging in pairs or groups with described the first clothes data.
Further, in said system, described clothes acquisition module comprises:
The key point unit, arrange data structure for the key point of presetting different classes of clothes;
Acquiring unit, for obtaining user's own clothes photo and clothes classification;
The undercolour removal unit, for the background color of removing described own clothes photo and generate clothes front texture;
Data generating unit, for arranging the described own clothes data of data structure building according to described clothes front texture, clothes classification and key point.
Further, in said system, described service end comprises:
Back Administration Module, for obtaining clothes collocation data structure and businessman's clothes data;
Online garment data, for storing described clothes collocation data structure and businessman's clothes data;
Web page server, for according to described the first clothes data, with described clothes collocation data structure, recommending the second clothes data of arranging in pairs or groups mutually with described the first clothes data from described businessman clothes data, and described the second clothes data are sent to described browser module.
Further, in said system, described local garment data, also for being synchronized to described online garment data by described own clothes data upload.
Further, in said system, described service end also comprises sharing module, for from described online garment data, obtaining and issue, shares described own clothes data.
Further, in said system, described client also comprises:
The build module, for obtaining user's build data;
Rendering module, generate the fitting model for playing up according to described build data, the first clothes data and the second clothes data.
Further, in said system, described browser module is also for showing and storing described fitting model.
Compared with prior art, the present invention is by obtaining and store user's own clothes data, and obtain and store clothes collocation data structure and businessman's clothes data, select the first clothes data from described own clothes data, and recommend the second clothes data of arranging in pairs or groups mutually with described the first clothes data according to described the first clothes data with described clothes collocation data structure from described businessman clothes data, recommend other clothes of arranging in pairs or groups mutually with its clothes that oneself had for the user quickly.
In addition, the present invention is by obtaining user's build data, and plays up and generate the fitting model according to described build data, the first clothes data and the second clothes data, provides real clothes arranging effect to user's reference.
The accompanying drawing explanation
Fig. 1 is the fitting method process flow diagram of the embodiment of the present invention one;
Fig. 2 is the clothes acquisition interface schematic diagram of the embodiment of the present invention one;
Fig. 3 is the own clothes of the shooting interface schematic diagram of the embodiment of the present invention one;
Fig. 4 is the clothes interface schematic diagram after the removal background color of the embodiment of the present invention one;
Fig. 5 is generation interface, the clothes reference mark schematic diagram of the embodiment of the present invention one;
Fig. 6 is the own clothes of the user interface schematic diagram of the embodiment of the present invention one;
Fig. 7 is the own clothes details of the user interface schematic diagram of the embodiment of the present invention one
Fig. 8 is the collocation clothes interface schematic diagram of the recommendation of the embodiment of the present invention one;
Fig. 9 is the collocation clothes details interface schematic diagram of the recommendation of the embodiment of the present invention one;
Figure 10 is the fitting method process flow diagram of the embodiment of the present invention two;
Figure 11 is the fitting method process flow diagram of the embodiment of the present invention three;
Figure 12 is the fitting model display interface schematic diagram of the embodiment of the present invention three;
Figure 13 is the dressing system module diagram of the embodiment of the present invention four;
Figure 14 is the dressing system schematic diagram of the embodiment of the present invention four.
Embodiment
For above-mentioned purpose of the present invention, feature and advantage can be become apparent more, below in conjunction with the drawings and specific embodiments, the present invention is further detailed explanation.
Embodiment mono-
As shown in Figure 1, the invention provides a kind of fitting method, comprising:
Step S11, obtain and store user's own clothes data;
Wherein, step S11 is a process that creates and revise user's own clothes data, described own clothes data comprise clothes ID, clothes title, clothes thumbnail, detail view and play up data, for example, every own clothes are given an ID, indicate classification under it, give data that the page is relevant as title, thumbnail etc. simultaneously, also can give relevantly playing up data as dress form information, pinup picture information etc.;
Preferably, described step S11 specifically can comprise:
Step S111, the key point of default different classes of clothes arranges data structure;
Step S112, obtain user's own clothes photo and clothes classification;
Wherein, the user can select the own clothes photo gathered before modification or take new own clothes photo by camera on interface as shown in Figure 2, when the user selects to take new own clothes photo, can to clothes, be taken by interface as shown in Figure 3;
Step S113, remove the background color of described own clothes photo and generate clothes front texture, for example, can automatically remove the clothes front texture that the background color generation is shown as Fig. 4 by setting program;
Step S114, arrange data structure building and store described own clothes data according to described clothes front texture, clothes classification and key point;
Wherein, can arrange by program automatically according to the image edge information of selected clothes classification kimonos dress front texture generate dress form as shown in Figure 5 reference mark play up data, in addition, comprise clothes ID according to clothes front texture and the generation of clothes classification, the clothes title, the clothes thumbnail, the own clothes data of other of detail view, certainly, the user also can manually adjust reference mark, and add the out of Memory of own clothes and store, domestic consumer can only rely on image capture device as camera like this, guide and just can complete the clothes collecting work that needs the professional just can complete in the past through a little, after the user completes the collection of own clothes data, the all own clothes that can on interface as shown in Figure 6, see oneself as clothes 1 to clothes 8, in addition, the user also can check the details of every own clothes on interface as shown in Figure 7,
Step S12, obtain and store clothes collocation data structure and businessman's clothes data;
Wherein, step S12 is the establishment of and the process of revising businessman's clothes, described businessman clothes data comprise clothes ID, clothes title, clothes thumbnail, detail view and play up data, preferably, described businessman clothes data also comprise buys link, for example, every businessman's clothes be given an ID, indicate classification under it simultaneously, give data that the page is relevant as title, thumbnail etc., give and relevantly play up data as dress form information, pinup picture information etc.;
Step S13 selects the first clothes data from described own clothes data, and for example the user can be from the upper garment of one of described own clothes data selection oneself;
Step S14 recommends the second clothes data of arranging in pairs or groups mutually with described the first clothes data according to described the first clothes data with described clothes collocation data structure from described businessman clothes data;
Wherein, the recommendation of can arranging in pairs or groups from many clothes of businessman's clothes data selection to the user, described the second clothes data can be the set of many clothes ID, for example, selected oneself a upper garment in step S13 as the user after, dress under can recommend to arrange in pairs or groups mutually with this upper garment from described businessman clothes data many, under described many of recommendation, dress can show as collocation 1 to collocation 8 on interface as shown in Figure 8, in addition, the user also can check the details of the collocation clothes of each recommendation on interface as shown in Figure 9, the user can browse the clothes collocation content of acquisition like this, as check the clothes title, the clothes thumbnail, detail view and purchase link etc.In addition, the user also can carry out the clothes collocation voluntarily by the clothes data of browsing own clothes data and collection.
The present embodiment can meet the user wish by online browsing to businessman's clothes and the clothes that had of user oneself demand of being arranged in pairs or groups, businessman's clothes of Internet-based can be browsed and recommend and combining with own clothes data acquisition based on subscription client, allow the user create and preserve one's own own clothes data, and these own clothes data and businessman's clothes data are combined, can to the user, recommend the various clothes of arranging in pairs or groups mutually with user's own clothes to select according to color, style and user preferences.
Embodiment bis-
As shown in figure 10, the invention provides another kind of fitting method, the difference of the present embodiment and embodiment mono-is, increased the step that described own clothes data is stored to described businessman clothes data and shares described own clothes data, thereby not only can be to user's businessman's clothes of recommending to arrange in pairs or groups, can also be to user's its own clothes of recommending to arrange in pairs or groups, and facilitate the user to share its own clothes to other user's issue, specifically comprise:
Step S21, obtain and store user's own clothes data;
Wherein, step S21 is a process that creates and revise user's own clothes data, described own clothes data comprise clothes ID, clothes title, clothes thumbnail, detail view and play up data, for example, every own clothes are given an ID, indicate classification under it, give data that the page is relevant as title, thumbnail etc. simultaneously, also can give relevantly playing up data as dress form information, pinup picture information etc.;
Preferably, described step S21 specifically can comprise:
Step S211, the key point of default different classes of clothes arranges data structure;
Step S212, obtain user's own clothes photo and clothes classification;
Wherein, the user can select revise the own clothes photo gathered before or take new own clothes photo by camera;
Step S213, remove the background color of described own clothes photo and generate clothes front texture, for example, can arrange by program and automatically remove background color generation clothes front texture;
Step S214, arrange data structure building and store described own clothes data according to described clothes front texture, clothes classification and key point;
Wherein, can arrange by program automatically according to the image edge information of selected clothes classification kimonos dress front texture generate dress form reference mark play up data, comprise clothes ID according to clothes front texture and the generation of clothes classification in addition, the clothes title, the clothes thumbnail, the own clothes data of other of detail view, certainly, the user also can manually adjust reference mark, and add the out of Memory of own clothes and store, domestic consumer can only rely on image capture device as camera like this, guide and just can complete the clothes collecting work that needs the professional just can complete in the past through a little,
Step S22, obtain and store clothes collocation data structure and businessman's clothes data;
Wherein, step S22 is the establishment of and the process of revising businessman's clothes, described own clothes data, businessman's clothes data comprise clothes ID, clothes title, clothes thumbnail, detail view and play up data, preferably, described businessman clothes data also comprise buys link, for example, every businessman's clothes be given an ID, indicate classification under it simultaneously, give data that the page is relevant as title, thumbnail etc., give and relevantly play up data as dress form information, pinup picture information etc.;
Step S23, described own clothes data are stored to described businessman clothes data, like this in subsequent step S26, because described businessman clothes data have comprised own clothes data, the second clothes data of arranging in pairs or groups mutually with the own clothes of user of recommending can be businessman's clothes data of original own clothes data that do not comprise the user, can be also user's own clothes data, thereby the result that follow-up recommendation is arranged in pairs or groups more meet user's actual demands of individuals;
Step S24, described own clothes data are shared in issue, the user not only can browse its own clothes whenever and wherever possible like this, but also can be shared with other user by having clothes by oneself, can also add on this basis the good friend, pay close attention to, share and the function such as comment, progressively set up the clothes of a perfect in shape and function and share community;
Step S25 selects the first clothes data from described own clothes data, and for example the user can be from the upper garment of one of described own clothes data selection oneself;
Step S26 recommends the second clothes data of arranging in pairs or groups mutually with described the first clothes data according to described the first clothes data with described clothes collocation data structure from described businessman clothes data.
Wherein, the recommendation of can arranging in pairs or groups from many clothes of businessman's clothes data selection to the user, described the second clothes data can be the set of many clothes ID, for example, selected oneself a upper garment in step S25 as the user after, dress under can recommend to arrange in pairs or groups mutually with this upper garment from described businessman clothes data many, the clothes that the user can the browse acquisition like this content of arranging in pairs or groups, as check clothes title, clothes thumbnail, detail view and purchase link etc.In addition, the user also can carry out the clothes collocation voluntarily by the clothes data of browsing own clothes data and collection.
The present embodiment not only can meet the user by online browsing to businessman's clothes and the clothes that oneself the had demand of being arranged in pairs or groups, can also recommend and the own clothes of its selection other own clothes of arranging in pairs or groups mutually to the user, in addition, can also be shared with other user by having clothes by oneself.
Embodiment tri-
As shown in figure 11, the invention provides another kind of fitting method, the difference of the present embodiment and embodiment bis-is, the build data of obtaining the user have been increased, reach according to described build data, the first clothes data and the second clothes data and play up the step that generates the fitting model, to provide real clothes collocation to try effect on to user's reference, specifically comprise:
Step S31, obtain and store user's own clothes data;
Wherein, step S31 is a process that creates and revise user's own clothes data, described own clothes data comprise clothes ID, clothes title, clothes thumbnail, detail view and play up data, for example, every own clothes are given an ID, indicate classification under it, give data that the page is relevant as title, thumbnail etc. simultaneously, also can give relevantly playing up data as dress form information, pinup picture information etc.;
Preferably, described step S31 specifically can comprise:
Step S311, the key point of default different classes of clothes arranges data structure;
Step S312, obtain user's own clothes photo and clothes classification;
Wherein, the user can select revise the own clothes photo gathered before or take new own clothes photo by camera;
Step S313, remove the background color of described own clothes photo and generate clothes front texture, for example, can arrange by program and automatically remove background color generation clothes front texture;
Step S314, arrange data structure building and store described own clothes data according to described clothes front texture, clothes classification and key point;
Wherein, can arrange by program automatically according to the image edge information of selected clothes classification kimonos dress front texture generate dress form reference mark play up data, comprise clothes ID according to clothes front texture and the generation of clothes classification in addition, the clothes title, the clothes thumbnail, the own clothes data of other of detail view, certainly, the user also can manually adjust reference mark, and add the out of Memory of own clothes and store, domestic consumer can only rely on image capture device as camera like this, guide and just can complete the clothes collecting work that needs the professional just can complete in the past through a little,
Step S32, obtain and store clothes collocation data structure and businessman's clothes data;
Wherein, step S32 is the establishment of and the process of revising businessman's clothes, described own clothes data, businessman's clothes data comprise clothes ID, clothes title, clothes thumbnail, detail view and play up data, preferably, described businessman clothes data also comprise buys link, for example, every businessman's clothes be given an ID, indicate classification under it simultaneously, give data that the page is relevant as title, thumbnail etc., give and relevantly play up data as dress form information, pinup picture information etc.;
Step S33, described own clothes data are stored to described businessman clothes data, like this in subsequent step S36, because described businessman clothes data have comprised own clothes data, the second clothes data of arranging in pairs or groups mutually with the own clothes of user of recommending can be businessman's clothes data of original own clothes data that do not comprise the user, can be also user's own clothes data, thereby the result that follow-up recommendation is arranged in pairs or groups more meet user's actual demands of individuals;
Step S34, described own clothes data are shared in issue, the user not only can browse its own clothes whenever and wherever possible like this, but also can be shared with other user by having clothes by oneself, can also add on this basis the good friend, pay close attention to, share and the function such as comment, progressively set up the clothes of a perfect in shape and function and share community;
Step S35 selects the first clothes data from described own clothes data, and for example the user can be from the upper garment of one of described own clothes data selection oneself;
Step S36 recommends the second clothes data of arranging in pairs or groups mutually with described the first clothes data according to described the first clothes data with described clothes collocation data structure from described businessman clothes data;
Wherein, the recommendation of can arranging in pairs or groups from many clothes of businessman's clothes data selection to the user, described the second clothes data can be the set of many clothes ID, for example, selected oneself a upper garment in step S35 as the user after, dress under can recommend to arrange in pairs or groups mutually with this upper garment from described businessman clothes data many, the user can browse the clothes collocation content of acquisition like this, as check the clothes title, the clothes thumbnail, detail view and purchase link etc., in addition, the user also can carry out the clothes collocation voluntarily by the clothes data of browsing own clothes data and collection,
Step S37, obtain user's build data, for example can create virtual portrait according to the user, and the clothes and the collocation that allow virtual portrait try on to select in navigation process, in order to check clothes effect for the user in subsequent step;
Step S38, play up and generate the fitting model according to described build data, the first clothes data and the second clothes data,
Step S39, show and store described fitting model, as shown in figure 12, the upper garment that the user wears is the own clothes that herself gathers, and lower part of the body skirt is dress under that selects in the collocation clothes of recommending, the user not only can effectively manage own clothes like this, and the user that also can render by preview wears own clothes and experiences and try effect on the image of recommending clothes, if the user also can select to buy to trying effect on the clothes of recommending.
For example, Xiao Wang will participate in an activity tomorrow, what clothes of not knowing to arrange in pairs or groups is good, some clothes that she can use the method collection of the present embodiment often to wear herself, then the clothes of these oneself often being worn is all arranged in pairs or groups and is tried on, therefrom select the collocation of the existing clothes of best oneself of effect as the clothes of attending activity tomorrow, in addition, can also recommend online merchants upper garment on sale and Xiao Wang's oneself a pair of trousers collocation, Xiao Wang finds that by the effect of trying on of fitting model both are really perfect matches, and businessman is invigorating moving, the sturdy favour of price, so Xiao Wang buys link, unconsciously bought again a novel clothes.
The present embodiment not only can be recommended and the own clothes of its selection other clothes of arranging in pairs or groups mutually to the user, can also show that real clothes are arranged in pairs or groups to the user and try effect on.
Embodiment tetra-
As shown in Figure 13 and 14, the present invention also provides a kind of dressing system, comprises client 1 and service end 2, and wherein, described client 1 can be desktop computer, smart mobile phone or panel computer.
Client 1 is for obtaining and store user's own clothes data, and select the first clothes data from own clothes data, wherein, described own clothes data comprise clothes ID, clothes title, clothes thumbnail, detail view and play up data, for example, every own clothes are given an ID, indicate classification under it, give data that the page is relevant as title, thumbnail etc. simultaneously, also can give relevantly playing up data as dress form information, pinup picture information etc.
Described client 1 comprises clothes acquisition module 11, local garment data 12 and browser module 13.
The key point unit arranges data structure for the key point of default different classes of clothes.
Acquiring unit is for obtaining user's own clothes photo and clothes classification.
The undercolour removal unit is for removing the background color of described own clothes photo and generating clothes front texture.
Data generating unit is used for according to described clothes front texture, clothes classification and key point arrange the described own clothes data of data structure building, wherein, can arrange by program automatically according to the image edge information of selected clothes classification kimonos dress front texture generate dress form reference mark play up data, in addition, comprise clothes ID according to clothes front texture and the generation of clothes classification, the clothes title, the clothes thumbnail, the own clothes data of other of detail view, certainly, the user also can manually adjust reference mark, and add the out of Memory of own clothes and store, domestic consumer can only rely on image capture device as camera like this, guide and just can complete the clothes collecting work that needs the professional just can complete in the past through a little.
Local garment data 12 is for storing described own clothes data, in the local garment data 12 of described own clothes data typing that soon clothes acquisition module 11 will collect, preferably, described local garment data, also for described own clothes data upload is synchronized to described online garment data, like this because described businessman clothes data have comprised own clothes data, the second clothes data of arranging in pairs or groups mutually with the own clothes of user that browser module 13 is recommended can be businessman's clothes data of original own clothes data that do not comprise the user, can be also user's own clothes data, thereby the result that makes follow-up recommendation collocation more meets user's actual demands of individuals.
Browser module 13 is for selecting the first clothes data from own clothes data and asking described service end to recommend the second clothes data of arranging in pairs or groups with described the first clothes data.
Preferably, described client 1 also comprises build module 14 and rendering module 15.
Rendering module 15 generates the fitting model for playing up according to described build data, the first clothes data and the second clothes data.
Preferably, described browser module 13 is also for showing and storing described fitting model, the user just can browse described rendering module 15 generation fitting models by described browser module 13 and try effect on to check like this, if the user also can select to buy to trying effect on the clothes of recommending.
Service end 2 is for obtaining and store clothes collocation data structure and businessman's clothes data, recommend the second clothes data of arranging in pairs or groups mutually with described the first clothes data according to described the first clothes data with described clothes collocation data structure from described businessman clothes data, wherein, described businessman clothes data comprise clothes ID, the clothes title, the clothes thumbnail, detail view and play up data, preferably, described businessman clothes data also comprise buys link, for example, every businessman's clothes are given an ID, indicate its affiliated classification simultaneously, give data that the page is relevant as title, thumbnail etc., giving is correlated with plays up data as dress form information, pinup picture information etc., described service end 2 comprises Back Administration Module 21, online garment data 22 and web page server 23.
Back Administration Module 21 is for obtaining clothes collocation data structure and businessman's clothes data.
Web page server 23 is for recommending the second clothes data of arranging in pairs or groups mutually with described the first clothes data according to described the first clothes data with described clothes collocation data structure from described businessman clothes data, and described the second clothes data are sent to described browser module, wherein, the recommendation of can arranging in pairs or groups from many clothes of businessman's clothes data selection to the user, described the second clothes data can be the set of many clothes ID, for example, after the user has selected oneself a upper garment, dress under can recommend to arrange in pairs or groups mutually with this upper garment from described businessman clothes data many, as shown in figure 14, the user can be to by browser module 13, to web page server 23 requests, recommending the page, web page server 23 sends and recommends the page to browser module 13 according to the request of browser module 13, the user just can browse various clothes collocation recommendations like this, the user can browse the clothes collocation content of acquisition like this, as check the clothes title, the clothes thumbnail, detail view and purchase link etc.In addition, the user also can carry out the clothes collocation voluntarily by the clothes data of browsing own clothes data and collection.
Preferably, described service end 2 also comprises that sharing module 24 shares described own clothes data for from described online garment data 22, obtaining and issue, the user not only can browse its own clothes whenever and wherever possible like this, but also can be shared with other user by having clothes by oneself, can also add on this basis the good friend, pay close attention to, share and the function such as comment, progressively set up the clothes of a perfect in shape and function and share community.
The present invention is by obtaining and store user's own clothes data, and obtain and store clothes collocation data structure and businessman's clothes data, select the first clothes data from described own clothes data, and recommend the second clothes data of arranging in pairs or groups mutually with described the first clothes data according to described the first clothes data with described clothes collocation data structure from described businessman clothes data, recommend other clothes of arranging in pairs or groups mutually with its clothes that oneself had for the user quickly.
In addition, the present invention is by obtaining user's build data, and plays up and generate the fitting model according to described build data, the first clothes data and the second clothes data, provides real clothes arranging effect to user's reference.
In this instructions, each embodiment adopts the mode of going forward one by one to describe, and what each embodiment stressed is and the difference of other embodiment that between each embodiment, identical similar part is mutually referring to getting final product.For the disclosed system of embodiment, owing to corresponding to the method disclosed in Example, so description is fairly simple, relevant part partly illustrates and gets final product referring to method.
The professional can also further recognize, unit and the algorithm steps of each example of describing in conjunction with embodiment disclosed herein, can realize with electronic hardware, computer software or the combination of the two, for the interchangeability of hardware and software clearly is described, composition and the step of each example described according to function in the above description in general manner.These functions are carried out with hardware or software mode actually, depend on application-specific and the design constraint of technical scheme.The professional and technical personnel can specifically should be used for realizing described function with distinct methods to each, but this realization should not thought and exceeds scope of the present invention.
Obviously, those skilled in the art can carry out various changes and modification and not break away from the spirit and scope of the present invention invention.Like this, if, within of the present invention these are revised and modification belongs to the scope of the claims in the present invention and equivalent technologies thereof, the present invention also is intended to comprise these change and modification.
Claims (16)
1. a fitting method, is characterized in that, comprising:
Obtain and store user's own clothes data;
Obtain and store clothes collocation data structure and businessman's clothes data;
Select the first clothes data from described own clothes data; And
Recommend the second clothes data of arranging in pairs or groups mutually with described the first clothes data according to described the first clothes data with described clothes collocation data structure from described businessman clothes data.
2. fitting method as claimed in claim 1, is characterized in that, after the step of recommending out described the second clothes data, also comprises:
Obtain user's build data;
Play up and generate the fitting model according to described build data, the first clothes data and the second clothes data.
3. fitting method as claimed in claim 2, is characterized in that, after playing up according to described build data, the first clothes data and the second clothes data the step that generates the fitting model, also comprises and show and store described fitting model.
4. fitting method as claimed in claim 1, is characterized in that, after obtaining and store the step of clothes collocation data structure and businessman's clothes data, also comprises described own clothes data are stored to described businessman clothes data.
5. fitting method as claimed in claim 4, is characterized in that, described own clothes data are stored into to the step of described businessman clothes data, also comprises issuing sharing described own clothes data.
6. fitting method as claimed in claim 1, is characterized in that, described own clothes data, businessman's clothes data comprise clothes ID, clothes title, clothes thumbnail, detail view and play up data.
7. fitting method as claimed in claim 6, is characterized in that, described businessman clothes data also comprise buys link.
8. fitting method as claimed in claim 1, is characterized in that, the step of obtaining and storing user's own clothes data comprises:
The key point of default different classes of clothes arranges data structure;
Obtain user's own clothes photo and clothes classification;
Remove the background color of described own clothes photo and generate clothes front texture;
Data structure building is set and stores described own clothes data according to described clothes front texture, clothes classification and key point.
9. a dressing system, is characterized in that, comprising:
Client for obtaining and store user's own clothes data, and is selected the first clothes data from own clothes data; And
Service end for obtaining and store clothes collocation data structure and businessman's clothes data, is recommended the second clothes data of arranging in pairs or groups mutually with described the first clothes data according to described the first clothes data with described clothes collocation data structure from described businessman clothes data.
10. dressing system as claimed in claim 9, is characterized in that, described client comprises:
The clothes acquisition module, for gathering user's own clothes data;
Local garment data, for storing described own clothes data;
Browser module, for selecting the first clothes data from own clothes data and asking described service end to recommend the second clothes data of arranging in pairs or groups with described the first clothes data.
11. dressing system as claimed in claim 10, is characterized in that, described clothes acquisition module comprises:
The key point unit, arrange data structure for the key point of presetting different classes of clothes;
Acquiring unit, for obtaining user's own clothes photo and clothes classification;
The undercolour removal unit, for the background color of removing described own clothes photo and generate clothes front texture;
Data generating unit, for arranging the described own clothes data of data structure building according to described clothes front texture, clothes classification and key point.
12. dressing system as claimed in claim 10, is characterized in that, described service end comprises:
Back Administration Module, for obtaining clothes collocation data structure and businessman's clothes data;
Online garment data, for storing described clothes collocation data structure and businessman's clothes data;
Web page server, for according to described the first clothes data, with described clothes collocation data structure, recommending the second clothes data of arranging in pairs or groups mutually with described the first clothes data from described businessman clothes data, and described the second clothes data are sent to described browser module.
13. dressing system as claimed in claim 12, is characterized in that, described local garment data, also for being synchronized to described online garment data by described own clothes data upload.
14. dressing system as claimed in claim 13, is characterized in that, described service end also comprises sharing module, for from described online garment data, obtaining and issue, shares described own clothes data.
15. dressing system as claimed in claim 12, is characterized in that, described client also comprises:
The build module, for obtaining user's build data;
Rendering module, generate the fitting model for playing up according to described build data, the first clothes data and the second clothes data.
16. dressing system as claimed in claim 15, is characterized in that, described browser module is also for showing and storing described fitting model.
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| CN 201210174588 CN103455920A (en) | 2012-05-30 | 2012-05-30 | Fitting method and fitting system |
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| Application Number | Priority Date | Filing Date | Title |
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| CN 201210174588 CN103455920A (en) | 2012-05-30 | 2012-05-30 | Fitting method and fitting system |
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| CN103455920A true CN103455920A (en) | 2013-12-18 |
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| CN 201210174588 Pending CN103455920A (en) | 2012-05-30 | 2012-05-30 | Fitting method and fitting system |
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| CN104200249A (en) * | 2014-08-26 | 2014-12-10 | 重庆邮电大学 | Automatic clothes matching method, device and system |
| CN104484450A (en) * | 2014-12-25 | 2015-04-01 | 广东欧珀移动通信有限公司 | Clothing matching recommendation method and clothing matching recommendation device based on pictures |
| CN105005897A (en) * | 2014-04-25 | 2015-10-28 | 普适***株式会社 | Intelligent mirror system and providing method thereof |
| CN105117924A (en) * | 2015-07-01 | 2015-12-02 | 向莉妮 | Personalized commodity recommendation system |
| CN107679155A (en) * | 2017-09-27 | 2018-02-09 | 百度在线网络技术（北京）有限公司 | Clothing matching storehouse method for building up, information recommendation method, device, equipment and medium |
| CN108230082A (en) * | 2017-06-16 | 2018-06-29 | 深圳市商汤科技有限公司 | The recommendation method and apparatus of collocation dress ornament, electronic equipment, storage medium |
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| CN112991006A (en) * | 2021-03-01 | 2021-06-18 | 深圳市改购时尚科技有限公司 | Intelligent fitting method, device, equipment and storage medium based on fitting machine |
| CN113435941A (en) * | 2021-07-08 | 2021-09-24 | 武汉纺织大学 | Clothing matching recommendation method and device and readable storage medium |
| WO2023035936A1 (en) * | 2021-09-07 | 2023-03-16 | 北京字跳网络技术有限公司 | Data interaction method and apparatus, and electronic device and storage medium |
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| CN105005897A (en) * | 2014-04-25 | 2015-10-28 | 普适***株式会社 | Intelligent mirror system and providing method thereof |
| CN104200249A (en) * | 2014-08-26 | 2014-12-10 | 重庆邮电大学 | Automatic clothes matching method, device and system |
| CN104200249B (en) * | 2014-08-26 | 2017-07-21 | 重庆邮电大学 | A kind of method of clothing automatic collocation, apparatus and system |
| CN104484450A (en) * | 2014-12-25 | 2015-04-01 | 广东欧珀移动通信有限公司 | Clothing matching recommendation method and clothing matching recommendation device based on pictures |
| CN105117924A (en) * | 2015-07-01 | 2015-12-02 | 向莉妮 | Personalized commodity recommendation system |
| CN108230082A (en) * | 2017-06-16 | 2018-06-29 | 深圳市商汤科技有限公司 | The recommendation method and apparatus of collocation dress ornament, electronic equipment, storage medium |
| WO2018228448A1 (en) * | 2017-06-16 | 2018-12-20 | 深圳市商汤科技有限公司 | Method and apparatus for recommending matching clothing, electronic device and storage medium |
| US11232324B2 (en) | 2017-06-16 | 2022-01-25 | Shenzhen Sensetime Technology Co., Ltd. | Methods and apparatus for recommending collocating dress, electronic devices, and storage media |
| CN107679155A (en) * | 2017-09-27 | 2018-02-09 | 百度在线网络技术（北京）有限公司 | Clothing matching storehouse method for building up, information recommendation method, device, equipment and medium |
| CN110210501A (en) * | 2019-06-11 | 2019-09-06 | 北京字节跳动网络技术有限公司 | Virtual objects generation method, electronic equipment and computer readable storage medium |
| CN110210501B (en) * | 2019-06-11 | 2021-06-18 | 北京字节跳动网络技术有限公司 | Virtual object generation method, electronic device and computer-readable storage medium |
| CN112991006A (en) * | 2021-03-01 | 2021-06-18 | 深圳市改购时尚科技有限公司 | Intelligent fitting method, device, equipment and storage medium based on fitting machine |
| CN113435941A (en) * | 2021-07-08 | 2021-09-24 | 武汉纺织大学 | Clothing matching recommendation method and device and readable storage medium |
| WO2023035936A1 (en) * | 2021-09-07 | 2023-03-16 | 北京字跳网络技术有限公司 | Data interaction method and apparatus, and electronic device and storage medium |
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Application publication date: 20131218 |