CN113779411A - Virtual fitting method, system, computer device and storage medium - Google Patents
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Abstract
The invention is suitable for the technical field of virtual fitting, and provides a virtual fitting method, a virtual fitting system, computer equipment and a storage medium, wherein the method comprises the following steps: generating a human body model according to the head portrait information and the body data of the user; recommending clothes from a clothes database to the user according to the personal information and the demand information of the user; generating an automatic fitting option and a manual fitting option; when the manual fitting option is selected, loading a three-dimensional fitting image on the human body model according to the clothes selected by the user; and when the automatic fitting option is selected, loading different three-dimensional fitting images at preset intervals according to a clothes recommendation algorithm. The invention can provide automatic fitting options and manual fitting options, when the user selects the automatic fitting options, the system can load different three-dimensional fitting images at intervals of preset time according to a clothes recommendation algorithm, so that the user can watch the upper body effect of each piece of clothes until meeting satisfaction, operation is not needed, and time and labor are saved.
Description
Technical Field
The invention relates to the technical field of virtual fitting, in particular to a virtual fitting method, a virtual fitting system, computer equipment and a storage medium.
Background
With the rapid development of the mobile internet technology and the 3D virtual technology, a virtual fitting technology is currently developed, the virtual fitting technology refers to a technology for realizing a change dress viewing effect without taking off clothes on the body of a user, and currently, virtual fitting is mainly realized through a virtual fitting website, virtual fitting software and the like.
Through virtual fitting technique, the user can not only see the style of clothes when the online shop is shopping, can also see the effect of oneself wearing the upper part of the body, but present virtual fitting technique needs the user to select just can demonstrate after the clothes, if treat the clothes of show a lot of, the user can't choose the clothes that are fit for oneself in the short time and demonstrate, seriously influences online shopping efficiency. Therefore, it is desirable to provide a virtual fitting method, system, computer device and storage medium, which aim to solve the above problems.
Disclosure of Invention
In view of the shortcomings in the prior art, an object of the present invention is to provide a virtual fitting method, system, computer device and storage medium, so as to solve the problems in the background art.
The invention is realized in such a way that a virtual fitting method comprises the following steps:
generating a human body model according to the head portrait information and the body data of the user;
recommending clothes from a clothes database to the user according to the personal information and the demand information of the user;
generating an automatic fitting option and a manual fitting option;
when the manual fitting option is selected, loading a three-dimensional fitting image on the human body model according to the clothes selected by the user;
and when the automatic fitting option is selected, loading different three-dimensional fitting images at preset intervals according to a clothes recommendation algorithm.
As a further scheme of the invention: the step of generating the human body model according to the head portrait information and the body data of the user specifically comprises the following steps:
three-dimensional scanning is carried out on the head of a user to obtain head portrait information;
obtaining body data according to first user input data, wherein the body data comprises height information and three-dimensional information;
and generating a human body dynamic model which can determine the human body model of the user according to the head portrait information and the body data.
As a further scheme of the invention: the step of recommending clothes from the clothes database to the user according to the personal information and the demand information of the user specifically comprises the following steps:
establishing a clothing database, wherein the clothing in the clothing database is classified according to wearing position, gender, season, age, size, style and price, and the clothing database comprises three-dimensional clothing data of each piece of clothing;
obtaining personal information and demand information according to second user input data, wherein the personal information comprises the age and sex of a user, and the demand information comprises the adaptation season, style, size, wearing position and price of clothes demanded by the user;
and recommending the clothes from the clothes database to the user, and sequencing the recommended clothes according to the sales volume of the clothes.
As a further scheme of the invention: the step of loading the three-dimensional fitting image on the human body model according to the clothes selected by the user specifically comprises the following steps:
acquiring first data representing a garment piece in front of the selected garment and second data representing a garment piece in back of the selected garment from the three-dimensional garment data;
loading the first data and the second data into a mannequin;
and acquiring corresponding sewing point pair data in the first data and the second data so as to sew the garment piece before the garment and the garment piece after the garment on the human body model and generate a three-dimensional fitting image.
As a further scheme of the invention: the step of loading different three-dimensional fitting images at preset intervals according to a clothes recommendation algorithm specifically comprises the following steps:
establishing a clothes recommendation algorithm, wherein the clothes recommendation algorithm comprises a display sequence of clothes;
acquiring the display time of each set of clothes;
and loading different three-dimensional fitting images at preset time intervals, wherein the duration of the preset time is the duration of the display time.
As a further scheme of the invention: the step of establishing the clothes recommendation algorithm specifically comprises the following steps:
judging the clothes displayed each time;
when only one piece of clothes is displayed each time, the clothes recommendation algorithm is the sales volume of each piece of clothes, and the descending order of the output values of the clothes recommendation algorithm is the display order of each piece of clothes;
when the displayed clothes are one set each time, the total set number is obtained through permutation and combination, the sales volume of each set of clothes in each set of clothes and the quantity of each set of clothes sold at the same time are obtained, and the clothes recommendation algorithm is as follows: the first factor ×. sales per garment + the second factor × number of garments sold simultaneously per suit.
It is another object of the present invention to provide a virtual fitting system, the system comprising:
the human body model building module is used for generating a human body model according to the head portrait information and the body data of the user;
the clothes recommending module is used for recommending clothes to the user from the clothes database according to the personal information and the demand information of the user;
the option generation module is used for generating automatic fitting options and manual fitting options;
the manual display module is used for loading a three-dimensional fitting image on the human body model according to the clothes selected by the user when the manual fitting option is selected; and
and the automatic display module is used for loading different three-dimensional fitting images at preset intervals according to a clothes recommendation algorithm when the automatic fitting options are selected.
As a further scheme of the invention: the human body model building module comprises:
the head scanning unit is used for carrying out three-dimensional scanning on the head of a user to obtain head portrait information;
the body data acquisition unit is used for obtaining body data according to first user input data, and the body data comprises height information and three-dimensional information; and
and the user human body model determining unit is used for generating a human body dynamic model, and the human body dynamic model can determine the user human body model according to the head portrait information and the body data.
The invention also provides computer equipment, which comprises a processor, a memory and a computer program which is stored on the memory and can run on the processor, wherein the processor realizes the steps in the virtual fitting method when executing the computer program.
The present invention also provides a storage medium, which is a computer-readable storage medium, on which a computer program is stored, which, when executed, implements the steps in the virtual fitting method.
Compared with the prior art, the invention has the beneficial effects that: the method can determine the human body model of the user according to the head portrait information and the body data of the user, then recommend clothes from the clothes database to the user according to the personal information and the demand information of the user, and then generate an automatic fitting option and a manual fitting option for the user to select; when the user does not have target clothes, the user can select an automatic fitting option, and different three-dimensional fitting images can be loaded by the system at intervals of preset time according to a clothes recommendation algorithm.
Drawings
Fig. 1 is a flow chart of a virtual fitting method.
Fig. 2 is a flowchart of generating a human body model according to head portrait information and body data of a user in a virtual fitting method.
Fig. 3 is a flowchart of recommending clothes from a clothes database to a user according to user personal information and demand information in a virtual fitting method.
Fig. 4 is a flowchart of loading a three-dimensional fitting image on a human body model according to clothes selected by a user in a virtual fitting method.
Fig. 5 is a flowchart of loading different three-dimensional fitting images at predetermined intervals according to a clothes recommendation algorithm in a virtual fitting method.
Fig. 6 is a flowchart of establishing a clothes recommendation algorithm in a virtual fitting method.
Fig. 7 is a schematic structural diagram of a virtual fitting system.
Fig. 8 is a schematic structural diagram of a human body model building module in a virtual fitting system.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more clear, the present invention is further described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Specific implementations of the present invention are described in detail below with reference to specific embodiments.
As shown in fig. 1, an embodiment of the present invention provides a virtual fitting method, which includes the following steps:
s100, generating a human body model according to the head portrait information and the body data of the user;
s200, recommending clothes to the user from a clothes database according to the personal information and the demand information of the user;
s300, generating an automatic fitting option and a manual fitting option;
s400, when the manual fitting option is selected, loading a three-dimensional fitting image on the human body model according to the clothes selected by the user;
and S500, when the automatic fitting option is selected, loading different three-dimensional fitting images at preset intervals according to a clothes recommendation algorithm.
It should be noted that, with the rapid development of the mobile internet technology and the 3D virtual technology, a virtual fitting technology appears, which is a technology for realizing a change dress viewing effect without taking off clothes on the body of a user, and at present, virtual fitting is mainly realized through a virtual fitting website, virtual fitting software, and the like.
Through the virtual fitting technology, a user can see not only the style of clothes but also the effect of wearing the clothes when shopping in an online shop, but the current virtual fitting technology can be displayed after the user selects the clothes, if a lot of clothes to be displayed exist, the user cannot select the clothes suitable for the user in a short time, and particularly for people with selection difficulty, the embodiment of the invention aims to enable the human body model to automatically display the suitable clothes without selecting one piece of clothes, the user can purchase the clothes after feeling satisfied during displaying, and the online shopping efficiency is greatly improved.
In the embodiment of the invention, firstly, a human body dynamic model is required to be established, the human body dynamic model can determine a user human body model according to head portrait information and body data of the user, then clothes are recommended to the user from a clothes database according to personal information and demand information of the user, the clothes in the clothes database are uploaded by workers, then an automatic fitting option and a manual fitting option are generated for the user to select, when the user is provided with own target clothes, the user can select the manual fitting option, and at the moment, a three-dimensional fitting image is loaded on the human body model by a system according to the clothes selected by the user for displaying; when the user does not have target clothes, the user can select an automatic fitting option, and different three-dimensional fitting images can be loaded by the system at intervals of preset time according to a clothes recommendation algorithm.
As shown in fig. 2, as a preferred embodiment of the present invention, the step of generating a human body model according to the head portrait information and the body data of the user specifically includes:
s101, three-dimensional scanning is carried out on the head of a user to obtain head portrait information;
s102, obtaining body data according to first user input data, wherein the body data comprises height information and three-dimensional information;
s103, generating a human body dynamic model, wherein the human body dynamic model can determine the human body model of the user according to the head portrait information and the body data.
In the embodiment of the invention, a three-dimensional scanner can be used for three-dimensionally scanning the head of a user to obtain the head portrait information, the body data of the user is required besides the head portrait information when the human body model of the user is required to be obtained, the body data at least comprises height information and three-dimensional information, and then the height information and the three-dimensional information are input into the human body dynamic model, so that the human body model of the user can be obtained.
As shown in fig. 3, as a preferred embodiment of the present invention, the step of recommending clothes from the clothes database to the user according to the personal information and the requirement information of the user specifically includes:
s201, establishing a clothing database, wherein the clothing in the clothing database is classified according to wearing position, sex, season, age, size, style and price, and the clothing database comprises three-dimensional clothing data of each piece of clothing;
s202, obtaining personal information and demand information according to second user input data, wherein the personal information comprises the age and the sex of a user, and the demand information comprises the season, style, size, wearing position and price of clothes demanded by the user;
and S203, recommending clothes from the clothes database to the user, and sequencing the recommended clothes according to the sales volume of the clothes.
In the embodiment of the invention, firstly a clothing database is required to be established, the clothing in the clothing database is uploaded by workers, the clothing database comprises three-dimensional clothing data of each piece of clothing, in addition, each piece of clothing is required to be labeled according to the wearing position, the gender, the season, the age, the size, the style and the price, so that the proper clothing can be conveniently and rapidly screened according to the requirement of a user in the following process, for example, the label of a shirt is labeled as jacket, male, summer, 20-30 years old, XL, short sleeve leisure money and the like, then the age and the gender of the user are obtained through the input data of a second user, the season, the style, the size, the wearing position and the price of the clothing required by the user are adapted, and finally, the proper clothing is recommended to the user from the clothing database.
As shown in fig. 4, as a preferred embodiment of the present invention, the step of loading a three-dimensional fitting image on the human body model according to the clothes selected by the user specifically includes:
s401, acquiring first data representing a garment piece in front of the selected garment and second data representing a garment piece in back of the selected garment from three-dimensional garment data;
s402, loading the first data and the second data to a human body model;
and S403, acquiring corresponding stitching point pair data in the first data and the second data so as to stitch the garment piece before the garment and the garment piece after the garment on the human body model and generate a three-dimensional fitting image.
In the embodiment of the invention, when the clothes are uploaded to a clothes database, two-dimensional clothes piece data need to be uploaded at the same time, the clothes database can discretize the two-dimensional clothes piece data into a triangular network through triangulation to generate first data and second data of three-dimensional clothes data, and the first data and the second data are added with sewing side pair data and sewing point pair data which correspond to each other, wherein the first data are used for representing clothes front pieces, and the second data are used for representing clothes rear pieces; when the clothes are displayed, loading first data and second data corresponding to the clothes to the human body model, and obtaining corresponding sewing point pair data in the first data and the second data so that clothes pieces before clothes are sewn and clothes pieces after clothes are sewn on the human body model, and then generating a three-dimensional fitting image for displaying.
As shown in fig. 5, as a preferred embodiment of the present invention, the step of loading different three-dimensional fitting images at predetermined intervals according to a clothes recommendation algorithm specifically includes:
s501, establishing a clothes recommendation algorithm, wherein the clothes recommendation algorithm comprises a clothes display sequence;
s502, acquiring the display time of each set of clothes;
and S503, loading different three-dimensional fitting images at preset time intervals, wherein the duration of the preset time is the duration of the display time.
In the embodiment of the invention, the clothes recommendation algorithm comprises a clothes display sequence, in addition, when automatically displaying clothes, the display time of each set of clothes is required, the display time of each set of clothes can be set by a user, if the user does not select the set display time, the clothes are displayed according to a preset time interval, and in the clothes display process, a pause option and a next option are provided on an interface, so that the user can pause when encountering satisfactory clothes and enjoy for a long time; or the user can quickly show the next garment when encountering unsatisfactory garments to save time.
As shown in fig. 6, as a preferred embodiment of the present invention, the step of establishing a clothes recommendation algorithm specifically includes:
s5011, judging the clothes displayed each time;
s5012, when only one piece of clothes is displayed each time, the clothes recommendation algorithm is the sales volume of each piece of clothes, and the descending order of the output values of the clothes recommendation algorithm is the display order of each piece of clothes;
s5013, when the displayed clothes are one set, obtaining the total number of sets through permutation and combination, obtaining the sales volume of each set of clothes in each set of clothes and the number of sold clothes in each set of clothes at the same time, wherein a clothes recommendation algorithm is as follows: the first factor ×. sales per garment + the second factor × number of garments sold simultaneously per suit.
In the embodiment of the present invention, it can be understood that the user may only need to buy one jacket, or may need to buy one set of jacket and trousers, which can be obtained through the user requirement information, for example, when the user only needs to buy one jacket, 10 jackets are recommended, and the 10 jackets are displayed in sequence according to the sales volume of the clothes; for another example, when the user needs to buy a set of coats and pants, the recommended clothes and sales are as follows:
setting the first coefficient to be 0.3 and the second coefficient to be 0.7 according to the recommended algorithm for clothes = the first coefficient x Σ of the sales amount of each piece of clothes + the second coefficient x the number of clothes sold at the same time for each set of clothes, the recommended algorithm value for jacket 1 and pants 1 =0.3 × (2158 + 1852) +0.7 x 985=1892.5, and the same can be said to obtain the recommended algorithm value for jacket 1 and pants 2 =1963.4, the recommended algorithm value for jacket 1 and pants 3 =2097.5, the recommended algorithm value for jacket 2 and pants 1 =1626, the recommended algorithm value for jacket 2 and pants 2 =1758.5, the recommended algorithm value for jacket 2 and pants 3 =1845.7, the recommended algorithm value for jacket 3 and pants 1 =1767, the recommended algorithm value for jacket 3 and pants 2 =1945, and the recommended algorithm value for jacket 3 and pants 3 =2039.2, and finally the nine sets of clothes are displayed in order of from top to bottom.
As shown in fig. 7, an embodiment of the present invention further provides a virtual fitting system, where the system includes:
a human body model building module 100, configured to generate a human body model according to the head portrait information and the body data of the user;
the clothing recommending module 200 is used for recommending clothing to the user from the clothing database according to the personal information and the demand information of the user;
an option generating module 300, configured to generate an automatic fitting option and a manual fitting option;
a manual display module 400 for loading a three-dimensional fitting image on the human body model according to the clothes selected by the user when the manual fitting option is selected; and
the automatic display module 500 loads different three-dimensional fitting images at predetermined intervals according to a clothes recommendation algorithm when the automatic fitting option is selected.
In the embodiment of the invention, firstly, a human body dynamic model is required to be established, the human body dynamic model can determine a user human body model according to head portrait information and body data of the user, then clothes are recommended to the user from a clothes database according to personal information and demand information of the user, the clothes in the clothes database are uploaded by workers, then an automatic fitting option and a manual fitting option are generated for the user to select, when the user is provided with own target clothes, the user can select the manual fitting option, and at the moment, a three-dimensional fitting image is loaded on the human body model by a system according to the clothes selected by the user for displaying; when the user does not have target clothes, the user can select an automatic fitting option, and different three-dimensional fitting images can be loaded by the system at intervals of preset time according to a clothes recommendation algorithm.
As shown in fig. 8, as a preferred embodiment of the present invention, the human body model building module 100 includes:
a head scanning unit 101, configured to perform three-dimensional scanning on a head of a user to obtain head portrait information;
a body data obtaining unit 102, configured to obtain body data according to first user input data, where the body data includes height information and three-dimensional information; and
a user manikin determining unit 103 for generating a manikin, which can determine the user manikin from the avatar information and the body data.
In the embodiment of the invention, a three-dimensional scanner can be used for three-dimensionally scanning the head of a user to obtain the head portrait information, the body data of the user is required besides the head portrait information when the human body model of the user is required to be obtained, the body data at least comprises height information and three-dimensional information, and then the height information and the three-dimensional information are input into the human body dynamic model, so that the human body model of the user can be obtained.
The embodiment of the invention also provides computer equipment, which comprises a processor, a memory and a computer program which is stored on the memory and can run on the processor, wherein the processor realizes the steps in the virtual fitting method when executing the computer program.
The embodiment of the invention also provides a storage medium, which is a computer-readable storage medium, and a computer program is stored on the storage medium, and when the computer program is executed, the steps in the virtual fitting method are realized.
The present invention has been described in detail with reference to the preferred embodiments thereof, and it should be understood that the invention is not limited thereto, but is intended to cover modifications, equivalents, and improvements within the spirit and scope of the present invention.
It should be understood that, although the steps in the flowcharts of the embodiments of the present invention are shown in sequence as indicated by the arrows, the steps are not necessarily performed in sequence as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a portion of the steps in various embodiments may include multiple sub-steps or multiple stages that are not necessarily performed at the same time, but may be performed at different times, and the order of performance of the sub-steps or stages is not necessarily sequential, but may be performed in turn or alternately with other steps or at least a portion of the sub-steps or stages of other steps.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a non-volatile computer-readable storage medium, and can include the processes of the embodiments of the methods described above when the program is executed. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure herein. This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
Claims (10)
1. A virtual fitting method, characterized in that the method comprises the steps of:
generating a human body model according to the head portrait information and the body data of the user;
recommending clothes from a clothes database to the user according to the personal information and the demand information of the user;
generating an automatic fitting option and a manual fitting option;
when the manual fitting option is selected, loading a three-dimensional fitting image on the human body model according to the clothes selected by the user;
and when the automatic fitting option is selected, loading different three-dimensional fitting images at preset intervals according to a clothes recommendation algorithm.
2. The virtual fitting method according to claim 1, wherein the step of generating the human body model according to the head portrait information and the body data of the user specifically comprises:
three-dimensional scanning is carried out on the head of a user to obtain head portrait information;
obtaining body data according to first user input data, wherein the body data comprises height information and three-dimensional information;
and generating a human body dynamic model which can determine the human body model of the user according to the head portrait information and the body data.
3. The virtual fitting method according to claim 1, wherein the step of recommending clothes from the clothes database to the user according to the personal information and the demand information of the user specifically comprises:
establishing a clothing database, wherein the clothing in the clothing database is classified according to wearing position, gender, season, age, size, style and price, and the clothing database comprises three-dimensional clothing data of each piece of clothing;
obtaining personal information and demand information according to second user input data, wherein the personal information comprises the age and sex of a user, and the demand information comprises the adaptation season, style, size, wearing position and price of clothes demanded by the user;
and recommending the clothes from the clothes database to the user, and sequencing the recommended clothes according to the sales volume of the clothes.
4. The virtual fitting method according to claim 3, wherein the step of loading the three-dimensional fitting image on the human body model according to the clothes selected by the user specifically comprises:
acquiring first data representing a garment piece in front of the selected garment and second data representing a garment piece in back of the selected garment from the three-dimensional garment data;
loading the first data and the second data into a mannequin;
and acquiring corresponding sewing point pair data in the first data and the second data so as to sew the garment piece before the garment and the garment piece after the garment on the human body model and generate a three-dimensional fitting image.
5. The virtual fitting method according to claim 1, wherein the step of loading different three-dimensional fitting images at predetermined intervals according to a clothes recommendation algorithm specifically comprises:
establishing a clothes recommendation algorithm, wherein the clothes recommendation algorithm comprises a display sequence of clothes;
acquiring the display time of each set of clothes;
and loading different three-dimensional fitting images at preset time intervals, wherein the duration of the preset time is the duration of the display time.
6. The virtual fitting method according to claim 5, wherein the step of establishing a clothes recommendation algorithm specifically comprises:
judging the clothes displayed each time;
when only one piece of clothes is displayed each time, the clothes recommendation algorithm is the sales volume of each piece of clothes, and the descending order of the output values of the clothes recommendation algorithm is the display order of each piece of clothes;
when the displayed clothes are one set each time, the total set number is obtained through permutation and combination, the sales volume of each set of clothes in each set of clothes and the quantity of each set of clothes sold at the same time are obtained, and the clothes recommendation algorithm is as follows: the first factor ×. sales per garment + the second factor × number of garments sold simultaneously per suit.
7. A virtual fitting system, the system comprising:
the human body model building module is used for generating a human body model according to the head portrait information and the body data of the user;
the clothes recommending module is used for recommending clothes to the user from the clothes database according to the personal information and the demand information of the user;
the option generation module is used for generating automatic fitting options and manual fitting options;
the manual display module is used for loading a three-dimensional fitting image on the human body model according to the clothes selected by the user when the manual fitting option is selected; and
and the automatic display module is used for loading different three-dimensional fitting images at preset intervals according to a clothes recommendation algorithm when the automatic fitting options are selected.
8. The virtual fitting system of claim 7, wherein the manikin establishing module comprises:
the head scanning unit is used for carrying out three-dimensional scanning on the head of a user to obtain head portrait information;
the body data acquisition unit is used for obtaining body data according to first user input data, and the body data comprises height information and three-dimensional information; and
and the user human body model determining unit is used for generating a human body dynamic model, and the human body dynamic model can determine the user human body model according to the head portrait information and the body data.
9. A computer device comprising a processor, a memory, and a computer program stored on the memory and executable on the processor, the processor implementing the virtual fitting method of any one of claims 1 to 6 when executing the computer program.
10. A storage medium, characterized in that the storage medium is a computer-readable storage medium on which a computer program is stored, which computer program, when executed, implements the virtual fitting method according to any of claims 1 to 6.
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102314661A (en) * | 2011-09-07 | 2012-01-11 | 深圳市酷开网络科技有限公司 | Cloud computing-based virtual fitting system and method |
| CN103533449A (en) * | 2012-12-20 | 2014-01-22 | Tcl集团股份有限公司 | Method and system for realizing three-dimensional fitting based on intelligent three-dimensional television |
| CN103597519A (en) * | 2011-02-17 | 2014-02-19 | 麦特尔有限公司 | Computer implemented methods and systems for generating virtual body models for garment fit visualization |
| CN110992470A (en) * | 2019-12-02 | 2020-04-10 | 怀化学院 | Virtual fitting image generation method and device, computer equipment and storage medium |
-
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- 2021-09-23 CN CN202111116312.5A patent/CN113779411A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103597519A (en) * | 2011-02-17 | 2014-02-19 | 麦特尔有限公司 | Computer implemented methods and systems for generating virtual body models for garment fit visualization |
| CN102314661A (en) * | 2011-09-07 | 2012-01-11 | 深圳市酷开网络科技有限公司 | Cloud computing-based virtual fitting system and method |
| CN103533449A (en) * | 2012-12-20 | 2014-01-22 | Tcl集团股份有限公司 | Method and system for realizing three-dimensional fitting based on intelligent three-dimensional television |
| CN110992470A (en) * | 2019-12-02 | 2020-04-10 | 怀化学院 | Virtual fitting image generation method and device, computer equipment and storage medium |
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