CN109523367A - A kind of data analysing method, device, server and storage medium - Google Patents
A kind of data analysing method, device, server and storage medium Download PDFInfo
- Publication number
- CN109523367A CN109523367A CN201811446976.6A CN201811446976A CN109523367A CN 109523367 A CN109523367 A CN 109523367A CN 201811446976 A CN201811446976 A CN 201811446976A CN 109523367 A CN109523367 A CN 109523367A
- Authority
- CN
- China
- Prior art keywords
- user
- data
- commodity
- model
- pressure
- 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
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
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
Landscapes
- Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Accounting & Taxation (AREA)
- Finance (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Strategic Management (AREA)
- Marketing (AREA)
- Economics (AREA)
- Development Economics (AREA)
- Computer Graphics (AREA)
- Geometry (AREA)
- Software Systems (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The embodiment of the invention discloses a kind of data analysing method, device, server and storage mediums.Wherein, method includes: acquisition user data, and generates user 3D model according to the user data, wherein the user data includes the height, weight and the dimension data at the user position to be measured determined by 3D scanning device of user；Commodity data and commodity 3D model to be matched are obtained, the commodity data is the data that 3D scanning device is scanned acquisition to commodity, wherein the commodity data includes commercial size and material quality data；According to the user 3D model and the commodity 3D model, commodity data determination and the matching result for showing the two.The problem of embodiment of the present invention solves the purchase stage in shopping at network, and user not can determine that commodity fitting effects realizes and shows the commodity effect trying on or try in advance for the intuitive and convenient ground of each user, avoids because of the rejection of commodity stabilization agreement caused by improper.
Description
Technical field
The present embodiments relate to data analysis field more particularly to a kind of data analysing method, device, server and deposit
Storage media.
Background technique
Currently, more more and more universal by way of the commodity such as Online Shopping clothing, still, customer is only when buying clothing
It is selected by the size data in commodity details, cannot determine whether size fits according to the specific data of each client
Close, and determine clothing the effect that wears of style how.Therefore, because size is improper or the originals such as fitting effects are bad
Frequent occurrence, this is all inconvenient for seller and buyer for the goods return and replacement of cause.
Summary of the invention
The embodiment of the present invention provides a kind of data analysing method, device, server and storage medium, to realize according to user
And the three-dimensional stereo data of commodity is analyzed, and determines commodity if appropriate for user.
In a first aspect, the embodiment of the invention provides a kind of data analysing methods, this method comprises:
User data is obtained, and user 3D model is generated according to the user data, wherein the user data includes using
Height, weight and the dimension data at the user position to be measured determined by 3D scanning device at family；
Commodity data and commodity 3D model to be matched are obtained, the commodity data is that 3D scanning device sweeps commodity
Retouch the data of acquisition, wherein the commodity data includes commercial size and material quality data；
According to the user 3D model and the commodity 3D model, commodity data determination and the matching knot for showing the two
Fruit.
Optionally, according to the user 3D model and the commodity 3D model, the commodity data is determining and both shows
Matching result, comprising:
A pressure model is determined according to the user 3D model and the commodity 3D model, the commodity data；
Difference shows the position that pressure value is different in the pressure model.
Optionally, a pressure mould is determined according to the user 3D model and the commodity 3D model, the commodity data
Type, comprising:
In conjunction with the material quality data of the height of user, weight information and commodity, the user 3D model and the commodity are calculated
The pressure value that the opposite position of 3D model generates when being in contact；
The pressure value of the corresponding position of the user 3D model and the commodity 3D model is generated into a pressure
Model.
Optionally, the user data further includes user preference and history web pages browsing data, correspondingly, the method is also
Include:
According to the preference of user and history web pages browsing data and the user 3D model, recommend and the user for user
The commodity that 3D model matches.
Second aspect, the embodiment of the invention also provides a kind of data analysis set-up, which includes:
User data obtains module, generates user 3D model for obtaining user data, and according to the user data,
In, the user data includes the height, weight and the number of dimensions at the user position to be measured determined by 3D scanning device of user
According to；
Commodity data obtains module, is for obtaining commodity data and commodity 3D model, the commodity data to be matched
3D scanning device is scanned the data of acquisition to commodity, wherein the commodity data includes commercial size and material quality data；
Matching module, for according to the user 3D model and the commodity 3D model, the commodity data is determining and opens up
Show the matching result of the two.
Optionally, the matching module includes:
Pressure model setting up submodule, for according to the user 3D model and the commodity 3D model, the commodity number
According to a determining pressure model；
Modular pressure shows submodule, for distinguishing the position for showing that pressure value is different in the pressure model.
Optionally, the pressure model setting up submodule is specifically used for:
In conjunction with the material quality data of the height of user, weight information and commodity, the user 3D model and the commodity are calculated
The pressure value that the opposite position of 3D model generates when being in contact；
The pressure value of the corresponding position of the user 3D model and the commodity 3D model is generated into a pressure
Model.
Optionally, the user data further includes user preference and history web pages browsing data, correspondingly, described device is also
Include:
Commercial product recommending module, for being according to the preference and history web pages of user browsing data and the user 3D model
User recommends the commodity to match with the user 3D model.
The third aspect, the embodiment of the invention also provides a kind of server, which is connected with 3D scanning device, is used for
Scan and obtain the 3D data of user or commodity；
The server further include:
One or more processors；
Storage device, for storing one or more programs；
When one or more of programs are executed by one or more of processors, so that one or more of processing
Device realizes the data analysing method as described in any in the embodiment of the present invention.
Fourth aspect, the embodiment of the invention also provides a kind of computer readable storage mediums, are stored thereon with computer
Program realizes the data analysing method as described in any in the embodiment of the present invention when program is executed by processor.
The embodiment of the present invention by obtaining user data and establish the 3D model at user position to be measured, then obtain to
Data and 3D model with commodity, and then the data of user and commodity are matched, judge that commodity if appropriate for user, solve
It the problem of in purchase stage in shopping at network, user not can determine that commodity fitting effects, realizes straight for each user
It sees and easily shows the commodity effect trying on or try in advance, avoid because of the rejection of commodity stabilization agreement caused by improper.
Detailed description of the invention
Fig. 1 is the flow chart of the data analysing method in the embodiment of the present invention one；
Fig. 2 is the structural schematic diagram of the data analysis set-up in the embodiment of the present invention two；
Fig. 3 is the structural schematic diagram of the server in the embodiment of the present invention three.
Specific embodiment
To make the objectives, technical solutions, and advantages of the present invention clearer, with reference to the accompanying drawing to of the invention specific real
Example is applied to be described in further detail.It is understood that specific embodiment described herein is used only for explaining the present invention,
Rather than limitation of the invention.
It also should be noted that only the parts related to the present invention are shown for ease of description, in attached drawing rather than
Full content.It should be mentioned that some exemplary embodiments are described before exemplary embodiment is discussed in greater detail
At the processing or method described as flow chart.Although operations (or step) are described as the processing of sequence by flow chart,
It is that many of these operations can be implemented concurrently, concomitantly or simultaneously.In addition, the sequence of operations can be by again
It arranges.The processing can be terminated when its operations are completed, it is also possible to have the additional step being not included in attached drawing.
The processing can correspond to method, function, regulation, subroutine, subprogram etc..
Embodiment one
Fig. 1 is the flow chart for the data analysing method that the embodiment of the present invention one provides, and the present embodiment is applicable to not jljl
The case where being adapted between body.The method of the present embodiment can be executed by data analysis set-up, the device can by hardware and/
Or the mode of software is realized, and can be generally integrated in server or computer equipment, the server or computer equipment connection
There is 3D scanning device.As shown in Figure 1, the method for the present embodiment specifically includes:
S110, user data is obtained, and user 3D model is generated according to the user data, wherein the user data
The dimension data of height, weight and the user position to be measured determined by 3D scanning device including user.
Wherein, user position to be measured depends on the end article to be bought of user, illustratively, if user buys shoes
Son is scanned the data for obtaining user's both feet by 3D scanning device then the both feet of user are position to be measured, determines both feet
Size and dimension data, the further 3D that completes are rebuild, and establish the 3D model of user's both feet.If the target of same user's purchase
Commodity are cap, then position to be measured is the head of user.In addition, the information such as user's height, weight can by user with
Family end interface inputs in real time or obtains from the historical data of user account.
S120, commodity data and commodity 3D model to be matched are obtained, the commodity data is 3D scanning device to commodity
It is scanned the data of acquisition, wherein the commodity data includes commercial size and material quality data.
Wherein, commodity to be matched are that user selects the end article to be bought.The data and commodity of commodity to be matched
3D model is to upload onto the server what end saved by the seller of the commodity, is selected so that user browses.
S130, according to the user 3D model and the commodity 3D model, the commodity data is determining and both shows
Matching result.
User 3D model and the commodity 3D model are matched, firstly, according to the user 3D model and the quotient
Product 3D model, the commodity data determine a pressure model, and then, difference shows that pressure value is different in the pressure model
Position.
Specifically, determine that a pressure model can be the material quality data of the height in conjunction with user, weight information and commodity,
The pressure value generated when the opposite position of the user 3D model and the commodity 3D model is in contact is calculated, by the user
The pressure value of the corresponding position of 3D model and the commodity 3D model generates a pressure model.
Still using user's detected part as foot, for commodity to be matched are shoes.Pass through the matching of respective 3D model data
It calculates, can determine whether foot can be put into shoe inside, determine whether the foot of user agrees with completely with the sizes of shoes.Such as
Can the space multistory data of shoes 3D model include the 3D model data of foot.
Further, the pliability, elasticity and flexibility of shoes can be determined according to shoes material.When wearing upper different material
When the shoes of matter, what foot was experienced is different to pressure.In oneainstance, if the size of shoes small 0.5cm longer than foot,
So it is different in the different parts of the foot such as sensitive pressure of the positions such as toe, heel or instep institute.It specifically can basis
The 3D data of foot and shoes, and the material related data of shoes is combined to be calculated, it can determine that shoes are different with foot and connect
Contact portion position pressure value is different.Likewise, user position to be scanned is user if user wishes that the commodity of purchase are a shirts
Upper body and upper limb, when shirt is through with user, the pressure that the different parts of body are experienced is also different.
Further, the different parts in pressure model can be distinctly displayed according to the size of pressure value.Such as in shoes and
In the pressure model that foot matches, the biggish position of pressure value can be indicated with red, indicate that the position relatively presses against one's foot, it can
To indicate that comfortable or other colors indicate some situations with green.In the case where shoes size is big, foot and shoes are not
In contact, pressure is generated without pressure, model does not have display color.
Preferably, the user data further includes user preference and history web pages browsing data, correspondingly, can also basis
Preference and history web pages the browsing data of user and the user 3D model are recommended to match with the user 3D model for user
Commodity, directly show that user tries or try on the effect pictures of the commodity on.
The technical solution of the present embodiment, by obtaining user data and establishing the 3D model at user position to be measured, then
Obtain the data and 3D model of commodity to be matched, and then the data of user and commodity matched, judge commodity if appropriate for
The problem of user solves the purchase stage in shopping at network, and user not can determine that commodity fitting effects, realizes for each
The intuitive and convenient ground of a user shows the effect that commodity are tried on or tried in advance, avoids because of the rejection of commodity stabilization agreement caused by improper.
Embodiment two
Fig. 2 is the structural schematic diagram of data analysis set-up provided by Embodiment 2 of the present invention.The device is suitable for not jljl
The case where being adapted between body.The device of the present embodiment can be realized by way of hardware and/or software, and can generally be integrated in
In server or computer equipment.
As shown in Fig. 2, data analysis set-up specifically includes: user data obtains module 210, commodity data obtains module
220 and matching module 230.
Wherein, user data obtains module 210, generates user for obtaining user data, and according to the user data
3D model, wherein the user data includes the height, weight and the user position to be measured determined by 3D scanning device of user
Dimension data；Commodity data obtains module 220, for obtaining commodity data and commodity 3D model to be matched, the commodity
Data are the data that 3D scanning device is scanned acquisition to commodity, wherein the commodity data includes commercial size and material
Data；Matching module 230, for according to the user 3D model and the commodity 3D model, the commodity data is determining and opens up
Show the matching result of the two.
The technical solution of the present embodiment, by obtaining user data and establishing the 3D model at user position to be measured, then
Obtain the data and 3D model of commodity to be matched, and then the data of user and commodity matched, judge commodity if appropriate for
The problem of user solves the purchase stage in shopping at network, and user not can determine that commodity fitting effects, realizes for each
The intuitive and convenient ground of a user shows the effect that commodity are tried on or tried in advance, avoids because of the rejection of commodity stabilization agreement caused by improper.
Optionally, the matching module 230 includes:
Pressure model setting up submodule, for according to the user 3D model and the commodity 3D model, the commodity number
According to a determining pressure model；
Modular pressure shows submodule, for distinguishing the position for showing that pressure value is different in the pressure model.
Optionally, the pressure model setting up submodule is specifically used for:
In conjunction with the material quality data of the height of user, weight information and commodity, the user 3D model and the commodity are calculated
The pressure value that the opposite position of 3D model generates when being in contact；
The pressure value of the corresponding position of the user 3D model and the commodity 3D model is generated into a pressure
Model.
Optionally, the user data further includes user preference and history web pages browsing data, correspondingly, described device is also
Include:
Commercial product recommending module, for being according to the preference and history web pages of user browsing data and the user 3D model
User recommends the commodity to match with the user 3D model.
Data analysis set-up provided by the embodiment of the present invention can be performed provided by any embodiment of the invention based on certainly
The dynamic data analysing method driven, has the corresponding functional module of execution method and beneficial effect.
Embodiment three
Fig. 3 is the structural schematic diagram of the server in the embodiment of the present invention three.Fig. 3, which is shown, to be suitable for being used to realizing the present invention
The block diagram of the exemplary servers 312 of embodiment.The server 312 that Fig. 3 is shown is only an example, should not be to the present invention
The function and use scope of embodiment bring any restrictions.
As shown in figure 3, server 312 is showed in the form of universal computing device.The component of server 312 may include but
Be not limited to: one or more processor or processing unit 316, system storage 328, connect different system components (including
System storage 328 and processing unit 316) bus 318.
Bus 318 indicates one of a few class bus structures or a variety of, including memory bus or Memory Controller,
Peripheral bus, graphics acceleration port, processor or the local bus using any bus structures in a variety of bus structures.It lifts
For example, these architectures include but is not limited to industry standard architecture (ISA) bus, microchannel architecture (MAC)
Bus, enhanced isa bus, Video Electronics Standards Association (VESA) local bus and peripheral component interconnection (PCI) bus.
Server 312 typically comprises a variety of computer system readable media.These media can be it is any being capable of bedding and clothing
The usable medium that business device 312 accesses, including volatile and non-volatile media, moveable and immovable medium.
System storage 328 may include the computer system readable media of form of volatile memory, such as deposit at random
Access to memory (RAM) 330 and/or cache memory 332.Server 312 may further include it is other it is removable/can not
Mobile, volatile/non-volatile computer system storage medium.Only as an example, storage system 334 can be used for reading and writing not
Movably, non-volatile magnetic media (Fig. 3 do not show, commonly referred to as " hard disk drive ").It, can be with although being not shown in Fig. 3
The disc driver for reading and writing to removable non-volatile magnetic disk (such as " floppy disk ") is provided, and non-volatile to moving
The CD drive of CD (such as CD-ROM, DVD-ROM or other optical mediums) read-write.In these cases, each driving
Device can be connected by one or more data media interfaces with bus 318.Memory 328 may include at least one program
Product, the program product have one group of (for example, at least one) program module, these program modules are configured to perform the present invention
The function of each embodiment.
Program/utility 340 with one group of (at least one) program module 342, can store in such as memory
In 328, such program module 342 includes but is not limited to operating system, one or more application program, other program modules
And program data, it may include the realization of network environment in each of these examples or certain combination.Program module 342
Usually execute the function and/or method in embodiment described in the invention.
Server 312 can also with one or more external equipments 314 (such as 3D scanning device, keyboard, sensing equipment,
Display 324 etc.) communication, the equipment interacted with the server 312 can be also enabled a user to one or more to be communicated, and/
Or with any equipment (such as network interface card, modulation that the server 312 is communicated with one or more of the other calculating equipment
Demodulator etc.) communication.This communication can be carried out by input/output (I/O) interface 322.Also, server 312 may be used also
To pass through network adapter 320 and one or more network (such as local area network (LAN), wide area network (WAN) and/or public network
Network, such as internet) communication.As shown, network adapter 320 is logical by bus 318 and other modules of server 312
Letter.It should be understood that server 312 can be combined using other hardware and/or software module although being not shown in Fig. 3, including but
Be not limited to: microcode, device driver, redundant processing unit, external disk drive array, RAID system, tape drive with
And data backup storage system etc..
Processing unit 316 by the program that is stored in system storage 328 of operation, thereby executing various function application with
And data processing, such as realize data analysing method provided by the embodiment of the present invention, this method specifically includes that
User data is obtained, and user 3D model is generated according to the user data, wherein the user data includes using
Height, weight and the dimension data at the user position to be measured determined by 3D scanning device at family；
Commodity data and commodity 3D model to be matched are obtained, the commodity data is that 3D scanning device sweeps commodity
Retouch the data of acquisition, wherein the commodity data includes commercial size and material quality data；
According to the user 3D model and the commodity 3D model, commodity data determination and the matching knot for showing the two
Fruit.
Example IV
The embodiment of the present invention four additionally provides a kind of computer readable storage medium, is stored thereon with computer program, should
The data analysing method as provided by the embodiment of the present invention is realized when program is executed by processor, this method specifically includes that
User data is obtained, and user 3D model is generated according to the user data, wherein the user data includes using
Height, weight and the dimension data at the user position to be measured determined by 3D scanning device at family；
Commodity data and commodity 3D model to be matched are obtained, the commodity data is that 3D scanning device sweeps commodity
Retouch the data of acquisition, wherein the commodity data includes commercial size and material quality data；
According to the user 3D model and the commodity 3D model, commodity data determination and the matching knot for showing the two
Fruit.
The computer storage medium of the embodiment of the present invention, can be using any of one or more computer-readable media
Combination.Computer-readable medium can be computer-readable signal media or computer readable storage medium.It is computer-readable
Storage medium for example may be-but not limited to-the system of electricity, magnetic, optical, electromagnetic, infrared ray or semiconductor, device or
Device, or any above combination.The more specific example (non exhaustive list) of computer readable storage medium includes: tool
There are electrical connection, the portable computer diskette, hard disk, random access memory (RAM), read-only memory of one or more conducting wires
(ROM), erasable programmable read only memory (EPROM or flash memory), optical fiber, portable compact disc read-only memory (CD-
ROM), light storage device, magnetic memory device or above-mentioned any appropriate combination.In this document, computer-readable storage
Medium can be any tangible medium for including or store program, which can be commanded execution system, device or device
Using or it is in connection.
Computer-readable signal media may include in a base band or as carrier wave a part propagate data-signal,
Wherein carry computer-readable program code.The data-signal of this propagation can take various forms, including but unlimited
In electromagnetic signal, optical signal or above-mentioned any appropriate combination.Computer-readable signal media can also be that computer can
Any computer-readable medium other than storage medium is read, which can send, propagates or transmit and be used for
By the use of instruction execution system, device or device or program in connection.
The program code for including on computer-readable medium can transmit with any suitable medium, including --- but it is unlimited
In wireless, electric wire, optical cable, RF etc. or above-mentioned any appropriate combination.
The computer for executing operation of the present invention can be write with one or more programming languages or combinations thereof
Program code, described program design language include object oriented program language-such as Java, Smalltalk, C++,
Further include conventional procedural programming language-such as " such as " language or similar programming language.Program code can be with
It fully executes, partly execute on the user computer on the user computer, being executed as an independent software package, portion
Divide and partially executes or executed on a remote computer or server completely on the remote computer on the user computer.?
Be related in the situation of remote computer, remote computer can pass through the network of any kind --- including local area network (LAN) or
The domain wide area network (WAN) is connected to subscriber computer, or, it may be connected to outer computer (such as mentioned using Internet service
It is connected for quotient by internet).
Note that the above is only a better embodiment of the present invention and the applied technical principle.It will be appreciated by those skilled in the art that
The invention is not limited to the specific embodiments described herein, be able to carry out for a person skilled in the art it is various it is apparent variation,
It readjusts and substitutes without departing from protection scope of the present invention.Therefore, although being carried out by above embodiments to the present invention
It is described in further detail, but the present invention is not limited to the above embodiments only, without departing from the inventive concept, also
It may include more other equivalent embodiments, and the scope of the invention is determined by the scope of the appended claims.
Claims (10)
1. a kind of data analysing method characterized by comprising
User data is obtained, and user 3D model is generated according to the user data, wherein the user data includes user's
The dimension data of height, weight and the user position to be measured determined by 3D scanning device；
Commodity data and commodity 3D model to be matched are obtained, the commodity data is scanned commodity for 3D scanning device and obtains
The data obtained, wherein the commodity data includes commercial size and material quality data；
According to the user 3D model and the commodity 3D model, commodity data determination and the matching result for showing the two.
2. the method according to claim 1, wherein according to the user 3D model and the commodity 3D model,
The commodity data is determining and shows the matching result of the two, comprising:
A pressure model is determined according to the user 3D model and the commodity 3D model, the commodity data；
Difference shows the position that pressure value is different in the pressure model.
3. according to the method described in claim 2, it is characterized in that, according to the user 3D model and the commodity 3D model,
The commodity data determines a pressure model, comprising:
In conjunction with the material quality data of the height of user, weight information and commodity, the user 3D model and the commodity 3D mould are calculated
The pressure value generated when the opposite position of type is in contact；
The pressure value of the corresponding position of the user 3D model and the commodity 3D model is generated into a pressure model.
4. the method according to claim 1, wherein the user data further includes user preference and history web pages
Data are browsed, correspondingly, the method also includes:
According to the preference of user and history web pages browsing data and the user 3D model, recommend and the user 3D mould for user
The commodity that type matches.
5. a kind of data analysis set-up characterized by comprising
User data obtains module, generates user 3D model for obtaining user data, and according to the user data, wherein
The user data includes the height, weight and the dimension data at the user position to be measured determined by 3D scanning device of user；
Commodity data obtains module, and commodity data and commodity 3D model, the commodity data for obtaining to be matched are swept for 3D
Retouch the data that equipment is scanned acquisition to commodity, wherein the commodity data includes commercial size and material quality data；
Matching module, for the determining and displaying two according to the user 3D model and the commodity 3D model, the commodity data
The matching result of person.
6. device according to claim 5, which is characterized in that the matching module includes:
Pressure model setting up submodule, for true according to the user 3D model and the commodity 3D model, the commodity data
A fixed pressure model；
Modular pressure shows submodule, for distinguishing the position for showing that pressure value is different in the pressure model.
7. device according to claim 6, which is characterized in that the pressure model setting up submodule is specifically used for:
In conjunction with the material quality data of the height of user, weight information and commodity, the user 3D model and the commodity 3D mould are calculated
The pressure value generated when the opposite position of type is in contact；
The pressure value of the corresponding position of the user 3D model and the commodity 3D model is generated into a pressure model.
8. device according to claim 5, which is characterized in that the user data further includes user preference and history web pages
Data are browsed, correspondingly, described device further include:
Commercial product recommending module is user for browsing data and the user 3D model according to the preference and history web pages of user
Recommend the commodity to match with the user 3D model.
9. a kind of server, which is characterized in that the server is connected with 3D scanning device, for scanning and obtaining user or quotient
The 3D data of product；
The server further include:
One or more processors；
Storage device, for storing one or more programs；
When one or more of programs are executed by one or more of processors, so that one or more of processors are real
The now data analysing method as described in any in claim 1-4.
10. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the program is by processor
The data analysing method as described in any in claim 1-4 is realized when execution.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811446976.6A CN109523367A (en) | 2018-11-29 | 2018-11-29 | A kind of data analysing method, device, server and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811446976.6A CN109523367A (en) | 2018-11-29 | 2018-11-29 | A kind of data analysing method, device, server and storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN109523367A true CN109523367A (en) | 2019-03-26 |
Family
ID=65793765
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811446976.6A Pending CN109523367A (en) | 2018-11-29 | 2018-11-29 | A kind of data analysing method, device, server and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109523367A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111612571A (en) * | 2020-04-14 | 2020-09-01 | 上海卓易科技股份有限公司 | Feature matching method, terminal and storage medium |
| CN111832350A (en) * | 2019-04-18 | 2020-10-27 | 杭州海康威视数字技术股份有限公司 | Clothes try-on detection method and system |
| CN114902267A (en) * | 2021-05-20 | 2022-08-12 | 株式会社威亚视 | Information processing apparatus, information processing method, and program |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103440587A (en) * | 2013-08-27 | 2013-12-11 | 刘丽君 | Personal image designing and product recommendation method based on online shopping |
| CN104616190A (en) * | 2015-03-05 | 2015-05-13 | 广州新节奏智能科技有限公司 | Multi-terminal 3D somatosensory shopping method and system based on internet and mobile internet |
| CN105956780A (en) * | 2016-05-11 | 2016-09-21 | 东华大学 | Garment fitness evaluation method based on Bayesian discrimination theory |
| CN106502399A (en) * | 2016-10-31 | 2017-03-15 | 江西服装学院 | Virtual fit method, apparatus and system and three-dimensional fabric Materials Library method for building up and device |
| CN108876484A (en) * | 2018-08-06 | 2018-11-23 | 百度在线网络技术（北京）有限公司 | Method of Commodity Recommendation and device |
-
2018
- 2018-11-29 CN CN201811446976.6A patent/CN109523367A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103440587A (en) * | 2013-08-27 | 2013-12-11 | 刘丽君 | Personal image designing and product recommendation method based on online shopping |
| CN104616190A (en) * | 2015-03-05 | 2015-05-13 | 广州新节奏智能科技有限公司 | Multi-terminal 3D somatosensory shopping method and system based on internet and mobile internet |
| CN105956780A (en) * | 2016-05-11 | 2016-09-21 | 东华大学 | Garment fitness evaluation method based on Bayesian discrimination theory |
| CN106502399A (en) * | 2016-10-31 | 2017-03-15 | 江西服装学院 | Virtual fit method, apparatus and system and three-dimensional fabric Materials Library method for building up and device |
| CN108876484A (en) * | 2018-08-06 | 2018-11-23 | 百度在线网络技术（北京）有限公司 | Method of Commodity Recommendation and device |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111832350A (en) * | 2019-04-18 | 2020-10-27 | 杭州海康威视数字技术股份有限公司 | Clothes try-on detection method and system |
| CN111832350B (en) * | 2019-04-18 | 2023-12-29 | 杭州海康威视数字技术股份有限公司 | Clothing try-on detection method and system |
| CN111612571A (en) * | 2020-04-14 | 2020-09-01 | 上海卓易科技股份有限公司 | Feature matching method, terminal and storage medium |
| CN114902267A (en) * | 2021-05-20 | 2022-08-12 | 株式会社威亚视 | Information processing apparatus, information processing method, and program |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US10754316B2 (en) | Re-creating an internal shape of a clothing item | |
| CN109523367A (en) | A kind of data analysing method, device, server and storage medium | |
| US9639957B2 (en) | Recommendations utilizing visual image analysis | |
| US10089680B2 (en) | Automatically fitting a wearable object | |
| US9058056B2 (en) | System and method of dynamically generating a frequency pattern to realize the sense of touch in a computing device | |
| US20160335711A1 (en) | Personal styler | |
| US20200027151A1 (en) | Method and apparatus for providing recommendation information for item | |
| US20170148225A1 (en) | Virtual dressing system and virtual dressing method | |
| KR102517087B1 (en) | Method and apparatus for on-line and off-line retail of all kind of clothes, shoes and accessories | |
| JP2020514915A (en) | Method and device for generating a three-dimensional graphic file and presenting the three-dimensional graphic on a client | |
| US11423631B2 (en) | Colored three-dimensional digital model generation | |
| TW201732712A (en) | Using image segmentation technology to enhance communication relating to online commerce experiences | |
| US10575594B2 (en) | Footwear internal space measuring device and method for providing service thereof | |
| KR102002154B1 (en) | Apparatus that automatically interacts with the subject of smart mirror, and smart mirror using the same | |
| CN111054070B (en) | Commodity display method, device, terminal and storage medium based on game | |
| US11403864B2 (en) | Method and apparatus for acquiring information on shape of object | |
| US20150100464A1 (en) | Information displaying apparatus and method of object | |
| JP2023161520A (en) | Information processing apparatus, information processing method, and information processing program | |
| JP2003108831A (en) | Sale supporting method and device | |
| CN107507059A (en) | Electric business purchase method and device based on user characteristics | |
| WO2023210507A1 (en) | Information processing device, information processing method, and information processing program | |
| WO2023054312A1 (en) | Information processing device, information processing method, and information processing program | |
| Karkour et al. | Mobile Application for Augmented Shopping: Virtual Shoe Try-on and Virtual Equipment Placement | |
| CN111612571A (en) | Feature matching method, terminal and storage medium | |
| CN113837830A (en) | Product display method, display device and electronic equipment |
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 | ||
| TA01 | Transfer of patent application right | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20200416 Address after: Room 706, Room 1699, South Zuchong Road, Yushan Town, Kunshan City, Suzhou City, Jiangsu Province Applicant after: Kunshan Pinyuan Intellectual Property Operating Technology Co.,Ltd. Address before: 200233 Shanghai city industry Jinshan District Jinshan Industrial Zone Road No. 218 building 3 layer 2 Applicant before: SHANGHAI YUDE COMMUNICATION TECHNOLOGY Co.,Ltd. |
|
| TA01 | Transfer of patent application right | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20200628 Address after: 400030 Chongqing City, Shapingba District, No. 6, Paul Road, No. 4 Applicant after: Chongqing Huiye Communication Technology Co.,Ltd. Address before: Room 706, Room 1699, South Zuchong Road, Yushan Town, Kunshan City, Suzhou City, Jiangsu Province Applicant before: Kunshan Pinyuan Intellectual Property Operating Technology Co.,Ltd. |
|
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20190326 |