CN115760319A - Automatic commodity collocation method and device, electronic equipment and storage medium - Google Patents
Automatic commodity collocation method and device, electronic equipment and storage medium Download PDFInfo
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Abstract
The application relates to the field of data processing, in particular to a method, a device, electronic equipment and a storage medium for automatically matching commodities, wherein the method comprises the steps of obtaining size information of a user; determining an avatar corresponding to the size information according to the size information; determining the type of the matched commodity of the user based on the size information, wherein the type of the matched commodity is used for representing the commodity type matched with the size information; acquiring historical purchase information of a user, and determining commodity preference according to the historical purchase information, wherein the commodity preference is used for representing the favorite style of the user; determining a target commodity according to the type of the matched commodity and commodity preference; and binding the target commodity to the virtual image, and displaying the target commodity to the user. The method and the device have the effect of improving the experience and satisfaction of the purchaser.
Description
Technical Field
The present application relates to the field of data processing, and in particular, to a method and an apparatus for automatically matching commodities, an electronic device, and a storage medium.
Background
With the popularization of networks and mobile phones, the number of net citizens is increased, people's clothing and eating houses are not separated from the networks, in order to meet the needs of people for substances in daily life, the online shopping is compliant and living, and people can purchase needed goods through the network-limited family, for example, only need to find favorite clothes in an online shop and select the size suitable for the people to purchase the clothes directly.
However, when purchasing clothes on the internet, a purchaser cannot try on the clothes selected by the purchaser in person as in a brick and mortar store, and cannot check the upper body effect of the clothes, so when purchasing clothes on the internet, the purchaser is very easy to purchase clothes unsuitable for the purchaser.
Disclosure of Invention
In order to improve the experience and satisfaction of purchasers, the application provides an automatic commodity matching method, an automatic commodity matching device, electronic equipment and a storage medium.
In a first aspect, the present application provides a method for automatically matching commodities, which adopts the following technical scheme:
a method for automatically collocating commodities comprises the following steps:
acquiring size information of a user;
determining an avatar corresponding to the size information according to the size information;
determining an adapted merchandise type of the user based on the size information;
acquiring historical purchase information of the user, and determining commodity preference according to the historical purchase information;
determining a target commodity according to the matched commodity type and the commodity preference;
and binding the target commodity to the virtual image, and displaying the target commodity to the user.
By adopting the technical scheme, the commodity type which is suitable for the user is determined according to the size information of the user, namely the dressing type which is suitable for the user is determined, the dressing style which is liked by the user is determined according to the historical purchase information of the user, so that the automatically recommended dressing conforms to the aesthetic sense of the user, the automatically recommended dressing is displayed on the virtual image corresponding to the size information of the user, the upper body effect corresponding to the automatically recommended dressing can be checked through the display content, the real upper body effect of the user wearing the dressing can also be checked, the upper body effect of the dressing is not displayed only through the mannequin, the automatically recommended dressing is displayed through the virtual image, the user can purchase the dressing which conforms to the mind of the user, and the experience and the satisfaction of the user can be improved.
In one possible implementation manner, the obtaining the size information of the user includes:
acquiring size information input by a user;
and/or the presence of a gas in the gas,
and acquiring the whole body illumination of the user, and determining the size information of the user according to the whole body illumination.
By adopting the technical scheme, on one hand, the privacy is higher and the condition of photo leakage cannot occur by receiving a plurality of pieces of size information input by a user compared with uploading the whole photos; on the other hand, cumbersome size measurement and data input are avoided by uploading the whole body photograph, which contributes to improving the uploading rate and the reality of the avatar by the whole body photograph.
In one possible implementation manner, the determining, according to the size information, an avatar corresponding to the size information includes:
determining a plurality of human skeletal points of the user according to the size information;
determining a bone point distance between the plurality of human bone points;
and modeling according to the distances of the plurality of bone points to obtain an avatar corresponding to the size information.
By adopting the technical scheme, the modeling is carried out through the human skeleton points and the distances among the human skeleton points, so that the accuracy of modeling data is improved conveniently, and the matching degree of the virtual image and the user is improved conveniently.
In one possible implementation manner, the determining the adapted commodity type of the user based on the size information includes:
determining a plurality of body part proportions of the user according to the size information;
and determining the type of the matched commodity corresponding to the size information according to the proportion of each body part.
By adopting the technical scheme, the size information is compared, the stature type of the user can be conveniently determined, the corresponding adaptation commodity type can be conveniently determined according to the stature type, the size information is compared when the stature type of the user is determined, and the accuracy of determining the stature type of the user can be conveniently improved instead of personal experience or blind guessing, so that the satisfaction degree of the user on the adaptation commodity type can be conveniently improved.
In one possible implementation, the method further comprises:
obtaining interested commodity information selected by a user;
binding the interested commodity information with the virtual image, displaying the virtual image of the interested commodity information after binding, and sending the generated satisfaction questionnaire to the terminal equipment of the user so as to facilitate satisfaction evaluation of the user;
when the satisfaction degree is lower than a preset satisfaction degree threshold value, acquiring adjustment information input by a user;
and determining the optimized interested commodity information according to the adjustment information, and binding the optimized interested commodity information with the virtual image for displaying.
By adopting the technical scheme, the interested commodity information selected by the user can be displayed on the virtual image, the upper body effect of the commodity information can be conveniently displayed for the user, when the upper body effect of the interested commodity is not satisfied by the user, the interested commodity can be optimized according to the adjustment suggestion of the user, the commodity information is re-determined, the optimized commodity information is displayed on the virtual image, the user can select and provide the adjustment information by himself, the satisfaction degree of the user can be conveniently improved, and the order completion rate can be further conveniently improved.
In one possible implementation, the method further includes:
acquiring dressing requirement information of a user, wherein the dressing requirement information of the user comprises an applicable scene and an applicable dressing combination;
determining corresponding applicable dresses according to the dress requirement information of the user;
acquiring ornament demand information of a user, and determining an applicable ornament corresponding to the user according to the applicable dressing;
the applicable apparel and the applicable accessories constitute applicable apparel for the user.
By adopting the technical scheme, the applicable clothes corresponding to the applicable scene and the applicable wearing combination can be determined according to the wearing requirement information of the user, and the commodity information which does not accord with the wearing requirement and the ornament requirement of the user can be conveniently eliminated by screening the wearing requirement information and the ornament requirement information of the user, so that the efficiency of the user in selecting the applicable clothes is improved, and the clothes purchased by the user can be more in line with the mind.
In a possible implementation manner, determining a suitable accessory corresponding to the user further includes:
acquiring a head image of the user;
determining the face type of the user and the hair style type of the user according to the head image;
and optimizing and updating the applicable clothes according to the face type and the hair style type of the user.
By adopting the technical scheme, the applicable clothes are optimized according to the face shape and the hair style of the user, so that the optimized clothes more conform to the mind of the user, and the satisfaction of the user in purchasing commodities is further improved.
In a second aspect, the present application provides an automatic matching device for commodities, which adopts the following technical scheme:
an automatic matching device for commodities comprises:
the size information acquisition module is used for acquiring size information of a user;
the virtual image determining module is used for determining a virtual image corresponding to the size information according to the size information;
the adaptive commodity type determining module is used for determining an adaptive commodity type of the user based on the size information, and the adaptive commodity type is used for representing a commodity type adaptive to the size information;
the commodity preference determining module is used for acquiring historical purchase information of the user and determining commodity preference according to the historical purchase information, wherein the commodity preference is used for representing the favorite style of the user;
the target commodity determining module is used for determining a target commodity according to the type of the matched commodity and the commodity preference;
and the commodity display module is used for binding the target commodity to the virtual image and displaying the target commodity to the user.
By adopting the technical scheme, the commodity type which is suitable for the user is determined according to the size information of the user, namely the dressing type which is suitable for the user, the dressing style which is liked by the user is determined according to the historical purchase information of the user, so that the automatically recommended dressing conforms to the aesthetic sense of the user, the automatically recommended dressing is displayed on the virtual image corresponding to the size information of the user, the upper body effect corresponding to the automatically recommended dressing can be checked through the display content, the real upper body effect of the user wearing the dressing can also be checked, the upper body effect of the dressing is not displayed only through a dress model, the automatically recommended dressing is displayed through the virtual image, the user can purchase the dress which conforms to the mind of the user, and the experience and satisfaction of the user can be possibly improved.
In a possible implementation manner, the size information obtaining module is specifically configured to, when obtaining the size information of the user:
acquiring size information input by a user;
and/or the presence of a gas in the gas,
and acquiring the whole body illumination of the user, and determining the size information of the user according to the whole body illumination.
In a possible implementation manner, when determining the avatar corresponding to the size information according to the size information, the avatar determining module is specifically configured to:
determining a plurality of human skeletal points of the user according to the size information;
determining a bone point distance between the plurality of human bone points;
and modeling according to the distances of the plurality of bone points to obtain an avatar corresponding to the size information.
In a possible implementation manner, the determine fit commodity type module, when determining the fit commodity type of the user based on the size information, is specifically configured to:
determining a plurality of body part proportions of the user according to the size information;
and determining the type of the matched commodity corresponding to the size information according to the proportion of each body part.
In one possible implementation, the apparatus further includes:
the interesting commodity information acquisition module is used for acquiring interesting commodity information selected by a user;
the satisfaction survey module is used for binding the interested commodity information with the virtual image, displaying the bound interested commodity information virtual image, and sending the generated satisfaction questionnaire to the terminal equipment of the user so as to facilitate the satisfaction evaluation of the user;
the adjusting information obtaining module is used for obtaining the adjusting information input by the user when the satisfaction degree is lower than a preset satisfaction degree threshold value;
and the adjusting module is used for determining the optimized interested commodity information according to the adjusting information, binding the optimized interested commodity information with the virtual image and displaying the bound interested commodity information.
In one possible implementation, the apparatus further includes:
the first acquiring demand information module is used for acquiring the dressing demand information of a user, and the dressing demand information of the user comprises an applicable scene and an applicable wearing combination;
the dress determining and applying module is used for determining corresponding suitable dresses according to the dress requirement information of the user;
the second acquiring demand information module is used for acquiring ornament demand information of a user and determining a corresponding applicable ornament according to the applicable dressing;
and determining an applicable clothing module for the applicable clothing and the applicable ornaments to form the applicable clothing of the user.
In one possible implementation manner, the method further includes:
a head image acquisition module for acquiring a head image of the user;
the type determining module is used for determining the face type of the user and the hair style type of the user according to the head image;
and the optimization result module is used for optimizing and updating the applicable clothes according to the face type and the hair style type of the user.
In a third aspect, the present application provides an electronic device, which adopts the following technical solutions:
an electronic device, comprising:
at least one processor;
a memory;
at least one application, wherein the at least one application is stored in the memory and configured to be executed by the at least one processor, the at least one application configured to: the method for automatically matching the commodities is executed.
In a fourth aspect, the present application provides a computer-readable storage medium, which adopts the following technical solutions:
a computer-readable storage medium, comprising: a computer program capable of being loaded by a processor and executing the automatic matching method for the commodities is stored.
In summary, the present application includes at least one of the following beneficial technical effects:
1. the method comprises the steps of determining the type of goods suitable for a user according to size information of the user, namely the dressing type suitable for the user, determining the dressing style liked by the user according to historical purchase information of the user so that the automatically recommended dressing conforms to the aesthetic sense of the user, displaying the automatically recommended dressing on an avatar corresponding to the size information of the user, displaying the upper body effect corresponding to the automatically recommended dressing through display contents, and also viewing the real upper body effect of the user after wearing the dressing instead of displaying the upper body effect of the dressing through a dress model, displaying the automatically recommended dress through the avatar, facilitating the user to purchase the dress meeting the mind of the user, and possibly improving the experience and satisfaction of the user.
2. The interested commodity information selected by the user can be displayed on the virtual image, so that the upper body effect of the commodity information can be conveniently displayed for the user, when the upper body effect of the interested commodity is not satisfied by the user, the interested commodity can be optimized according to the adjustment suggestion of the user, the commodity information is re-determined, the optimized commodity information is displayed on the virtual image, the user can select and provide the adjustment information by himself, the satisfaction degree of the user can be conveniently improved, and the order completion rate can be further conveniently improved.
3. The applicable clothes corresponding to the applicable scene and the applicable clothes combination can be determined according to the requirements of the user, the commodity information which is not in line with the requirements of the user can be conveniently eliminated by screening the commodity information through the user requirement information, and therefore the efficiency of the user in selecting the applicable clothes is improved, and the clothes purchased by the user can be more in line with the mind.
Drawings
Fig. 1 is a schematic flow chart illustrating a method for automatically matching commodities in an embodiment of the present application;
FIG. 2 is a schematic structural diagram of an automatic merchandise matching device according to an embodiment of the present disclosure;
fig. 3 is a schematic structural diagram of an electronic device in an embodiment of the present application.
Detailed Description
The present application is described in further detail below with reference to figures 1-3.
A person skilled in the art, after reading the present specification, may make modifications to the present embodiments as necessary without inventive contribution, but only within the scope of the claims of the present application are protected by patent laws.
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
In addition, the term "and/or" herein is only one kind of association relationship describing an associated object, and means that there may be three kinds of relationships, for example, a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter related objects are in an "or" relationship, unless otherwise specified.
When a user selects commodities on a shopping platform, scientific clothes matching cannot be realized, so that a large number of choices are needed, which is a pain point of the user, and the user often has unsatisfactory try-on after shopping is finished due to the fact that scientific clothes matching cannot be realized and clothes try-on cannot be carried out, so that the experience and satisfaction of the user when purchasing commodities are reduced, the user returns goods, and waste of merchants and logistics resources is caused.
In order to improve the experience and satisfaction of a user when purchasing goods, the method and the device for displaying the dressed dress determine the type of the goods suitable for the user according to the size information of the user, namely the dressed dress type suitable for the user, determine the dressed dress style preferred by the user according to the historical purchase information of the user so as to enable the automatically recommended dressed dress to be in accordance with the aesthetic sense of the user, and finally display the automatically recommended dressed dress on the virtual image corresponding to the size information of the user.
Specifically, the embodiment of the application provides a method for automatically matching commodities, which is executed by an electronic device, wherein the electronic device may be a server or a terminal device, the server may be an independent physical server, a server cluster or a distributed system formed by a plurality of physical servers, or a cloud server providing cloud computing services. The terminal device may be a smart phone, a tablet computer, a notebook computer, a desktop computer, or the like, but is not limited thereto, and the terminal device and the server may be directly or indirectly connected through wired or wireless communication, and the embodiment of the present application is not limited herein.
Referring to fig. 1, fig. 1 is a schematic flow chart of a method for automatically matching commodities in an embodiment of the present application, the method including step S110, step S120, step S130, step S140, step S150, and step S160, wherein:
step S110: size information of the user is acquired.
Specifically, the size information of the user may be input by the user, and the size information of the user, that is, the human body parameter information, refers to size information obtained by measuring at a specific measurement point of a human body using a measuring instrument. Common body dimension measurements include height, length, width, thickness, girth, etc., as reflected in height, shoulder height, elbow height, sitting height, knee height, forearm length, upper limb length, thigh length, calf length, shoulder width, chest width, hip width, chest thickness, hip thickness, thigh thickness, head circumference, bust, hip circumference, thigh circumference, and weight, etc., of the body.
Step S120: and determining the virtual image corresponding to the size information according to the size information.
Specifically, the avatar corresponding to the size information has the same size information as the user, and when the avatar is generated, the size information of the user can be imported into the 3D human body modeling to obtain the avatar corresponding to the size information. Specifically, the Body transformation 3D Body transformation technology of the three-dimensional artificial intelligence technology (3 DAi) can be used for realizing through the B3D technology, deep learning is carried out by collecting a million human Body databases, and only by measuring Body values at home by a user and inputting the Body values into the electronic equipment, the figure of the user can be restored by 100% so as to have a complete three-dimensional avatar.
Step S130: the type of the adapted goods of the user is determined based on the size information.
And the adaptive commodity type is used for representing the commodity type adaptive to the size information.
Specifically, different users correspond to different size information, and different size information corresponds to different adaptation commodity types, so that the adaptation commodity types corresponding to each user are different. Commercial versions are mostly used to shape and cut out garments. For example, when the head-shoulder proportion of the user is large, some clothes with shoulder pads and wide shoulders may visually enable the head-shoulder proportion of the user to be smaller, so that in order to visually reduce the head-shoulder proportion of the user, some clothes with sliding shoulders can be selected; when the upper and lower body proportion of the user is close to 1 or more than 1, the body proportion of some high-waist trousers or high-waist line skirts can be selected for decoration, so that the upper and lower body proportion of the user is visually reduced.
Step S140: historical purchase information of a user is acquired, and commodity preference is determined according to the historical purchase information.
Wherein the commodity preference is used for representing the favorite style of the user.
Specifically, after receiving the authorization of the user, historical purchase information of the user can be obtained, commodity type division is carried out on the historical purchase information to obtain clothing commodity types, and the historical purchase information of which the commodity types are clothing is divided according to wearing combinations to obtain whole clothes, suits, coats, vests, skirts and trousers, wherein the whole clothes are clothes with upper parts and lower parts connected, such as one-piece dress, jumpsuits and the like; the suit is in a coat form that the upper coat and the lower coat are separated, and comprises two, three and four pieces; the coat is worn on the outermost layer of the clothes and comprises overcoat, windbreaker, raincoat, cloak and the like; the vest is sleeveless clothes which are worn on the upper half body, is usually short between the waist and the hip and has a slightly fitting shape; the skirt is a garment for covering the lower half body and comprises a one-step skirt, an A-shaped skirt, a circular truncated skirt, a skirt pant and the like; the trousers are in the form of a garment divided into trouser legs from the waist to the buttocks, and comprise long trousers, short trousers, middle trousers and the like.
And determining the corresponding clothing commodity style according to the clothing commodity types, wherein the clothing commodity styles mainly comprise European style, korean style, japanese style, hip-hop street wind, neutral wind, gentlewoman wind, commute wind and national style, and when the commodity preference of a user is determined, the commodity preference of the user can be obtained by counting the purchase times of each commodity type in historical purchase information in a preset time period and/or the purchase frequency in the preset time period, determining the favorite commodity type of the user according to the purchase times and/or the purchase frequency, and identifying according to the commodity information of the favorite commodity type, for example, in the historical purchase information of the user in one month, the purchase times of the skirt commodity in the preset time period are the largest, so that the favorite commodity type of the user is determined to be skirt commodity, and after identifying the commodity information of a plurality of skirt commodities, the commodity preference of the user is obtained to be gentlewoman wind. When the commodity information is identified, the style of the commodity can be determined by identifying the characteristics of the commodity picture according to the clothing characteristics, and different styles correspond to different clothing characteristics, for example, when the commodity type is gentlewoman style, the corresponding clothing characteristic color is mostly warm tone and is single in color; in order to facilitate searching of related commodities for users, most merchants display the styles of the commodities in the names of the commodities, so that semantic recognition can be performed on the name information of the commodities when the styles of the commodities are determined, and a specific recognition mode is not specifically limited in the embodiment of the application.
Step S150: and determining the target commodity according to the matched commodity type and the commodity preference.
In particular, the target item is an entire set of items, possibly one piece, such as a dress and a jumpsuit; it is also possible to use two pieces, such as short sleeves and shorts; it is also possible to have three pieces such as a shirt, a sweater, and a half-length skirt, and the number of target articles included is not specifically limited in the embodiment of the present application, and the user can purchase the target articles according to his or her needs.
The target commodity conforms to the matched commodity type and the commodity preference, for example, when the head-shoulder proportion of the user exceeds a preset threshold value, the target commodity is characterized in that the user is matched with some shoulder pads or shoulder-supporting clothes to reduce the head-body proportion, and the commodity preference of the user is commuting wind, so that the target commodity can be some suit coats with shoulder pads or suit coats designed for shoulder supporting, the head-shoulder proportion of the user is reduced visually, and the satisfaction degree of the user is enhanced. When the target commodity is determined according to the type of the matched commodity and the commodity preference, the upper garment can be determined firstly, then the lower garment mode can be determined, for example, after the suit outer garment with shoulder pads is determined, the lower garment matched with the suit outer garment can be determined according to the garment matching information, wherein the garment matching information is obtained according to the matching skill of related matched persons.
Step S160: and binding the target commodity to the virtual image and displaying the target commodity to the user.
Specifically, the mode of binding the target commodity to the virtual image comprises the step of importing image information corresponding to the target commodity into a 3D human body building model, so that the corresponding body part displays the content corresponding to the picture, and the virtual image can display the target commodity more comprehensively and three-dimensionally. The number of the target commodities is not specifically limited in the embodiment of the application, when a plurality of target commodities exist, a user can select from the target commodities and display the selected target commodity, and if a selection instruction of the user is not detected, the target commodities are sequentially displayed according to a preset frequency.
The method comprises the steps that except that a plurality of target commodities are displayed in sequence according to a preset frequency, operation information of a user can be obtained, wherein the operation information of the user is used for controlling the virtual image to change display contents, the operation information of the user can be a touch screen, gestures and voice, and when the fact that the user triggers a target area in a screen is detected, a switching instruction is generated to control the virtual image to change the display contents; when a preset gesture made by a user is detected, a switching instruction is generated to control the avatar to change the display content, wherein the preset gesture can be a left index finger to a right finger to represent that the avatar displays a next target commodity, and when the preset gesture is a right index finger to a left finger, the avatar displays a previous target commodity, the preset gesture can also be an upward finger or a downward finger, and the specific preset gesture can be input by the user; and by acquiring the audio data of the user, when the user says 'next' or 'previous', the virtual graphics are controlled to switch the display content according to the audio content.
According to the embodiment of the application, the commodity type suitable for the user is determined according to the size information of the user, namely the dressing type suitable for the user, the dressing style preferred by the user is determined according to the historical purchase information of the user, so that the automatically recommended dressing accords with the aesthetic sense of the user, the automatically recommended dressing is displayed on the virtual image corresponding to the size information of the user, the upper body effect corresponding to the automatically recommended dressing can be checked through the display content, the real upper body effect of the user wearing the dressing can also be checked, the upper body effect of the dressing is not displayed only through a dress model, the automatically recommended dressing is displayed through the virtual image, the user can purchase the dress meeting the mind of the user, and the experience and satisfaction of the user can be improved.
Further, the step S110 of acquiring the size information of the user may specifically include step S1101 (not shown in the drawings) and/or step S1102 (not shown in the drawings), where:
step S1101: size information input by a user is acquired.
Specifically, the size information of the user can be input by the user according to the self measurement result, wherein the size information of the user comprises height, shoulder height, elbow height, sitting height, knee height, forearm length, upper limb length, thigh length, calf length, shoulder width, chest width, hip width, chest thickness, hip thickness, thigh thickness, head circumference, chest circumference, hip circumference, thigh circumference and weight, the user can input all the size information, and can also input part of the size information, and the size information at least comprises height and weight.
And/or the presence of a gas in the atmosphere,
step S1102: and acquiring the whole body illumination of the user, and determining the size information of the user according to the whole body illumination.
Specifically, the user's full body photograph at least includes a portion above the ankle below the neck, and the preset marker in the user's full body photograph is subjected to feature recognition to determine the size information of the user, and the preset marker may be a daily article, for example, a mobile phone, a mineral water bottle, or the like in the full body photograph may be used as a reference, and if the preset marker does not exist in the full body photograph, the size of other portions may be determined by the size of the user's head.
For the embodiment of the application, on one hand, by receiving a plurality of pieces of size information input by a user, compared with uploading a whole picture, the privacy is higher, and the situation of picture leakage cannot occur; on the other hand, cumbersome size measurement and data input are avoided by uploading the whole body photograph, which contributes to improving the uploading rate and the reality of the avatar by the whole body photograph.
Further, the step S120 of determining the avatar corresponding to the size information according to the size information may specifically include a step S1201 (not shown in the drawings), a step S1202 (not shown in the drawings), and a step S1203 (not shown in the drawings), where:
step S1201: from the size information, a plurality of human skeletal points of the user are determined.
Specifically, the human skeleton is related to each other, for example, the neck is related to the shoulder, the shoulder is related to the chest, the chest is related to the abdomen, and the abdomen is related to the waist, so that a preset base point can be determined, one skeleton part can be determined according to the preset base point and one size information, the next skeleton part can be determined according to the size information corresponding to the related skeleton of the current skeleton part, for example, the preset base point is determined as a neck center point in a preset three-dimensional coordinate system, the position and the initial position of the neck can be determined according to the neck center point and the neck size, the position of the shoulder can be determined according to the shoulder size related to the neck, and the like, and then a plurality of human skeleton points of the user can be obtained.
Step S1202: bone point distances between a plurality of human bone points are determined.
Step S1202: and modeling according to the distances of the plurality of bone points to obtain an avatar corresponding to the size information.
Specifically, according to the position of each human skeleton in the three-dimensional coordinate system, the distance between the human skeletons is conveniently determined to simulate the stature of a user, the distance between two human skeleton points can include a plurality of or one, for example, when the distance between the neck skeleton and the shoulder skeleton is determined, a line can be connected between the center point of the neck and the center point of the shoulder; when the distance between the shoulder bone points and the waist bone points is determined, the modeling effect is more real as the number of the distances between the human body bone points is larger by determining the distance between the side point of the left shoulder side and the boundary point of the left side of the waist and the distance between the side point of the right shoulder side and the boundary point of the right side of the waist.
According to the embodiment of the application, modeling is carried out through the human skeleton points and the distances among the human skeleton points, so that the accuracy of modeling data is improved conveniently, and the matching degree of the virtual image and the user is improved conveniently.
Further, the step S130 of determining the adapted commodity type of the user based on the size information specifically includes step S1301 (not shown in the drawings) and step S1302 (not shown in the drawings), wherein:
step S1301: from the size information, a plurality of body part proportions of the user are determined.
Specifically, the body part proportion is a proportional relation between all sizes, for example, the head-shoulder ratio of a user can be determined according to the size information of the head and the shoulders, the waist-hip ratio of the user can be determined according to the size information of the waist and the hip, and the figure type of the user can be conveniently determined according to the proportional relation between all sizes, wherein the figure type comprises an apple type, a pear type, an inverted triangle type, an H type and an hourglass type, and the proportional standards between all sizes corresponding to different figure types are different, for example, the proportions of the shoulders, the chest, the waist and the hip corresponding to the H type are similar.
Step S1302: and determining the type of the matched commodity corresponding to the size information according to the proportion of each body part.
Specifically, according to the putting-on data, the clothes suitable for each stature type can be determined, for example, the statures of users with H-shaped statures are flat and lack of curve beauty, so that for the users with H-shaped statures, the clothes with inflated styles or high waist styles can be selected to increase the curve feeling of the lower half; the user with the inverted triangle figure type has wider shoulders and maladjusted upper and lower body proportion, so that for the user with the inverted triangle figure type, a tight-fitting upper garment and a loose-fitting lower garment can be selected, and the upper and lower body proportion is visually optimized. Wherein, the putting-on data can be determined according to the putting-on experience of the player.
According to the embodiment of the application, the size information is compared, so that the stature type of the user can be conveniently determined, the corresponding adaptive commodity type can be conveniently determined according to the stature type, the size information is compared when the stature type of the user is determined, the accuracy of determining the stature type of the user can be conveniently improved instead of personal experience or blind guess, and the satisfaction degree of the user on the adaptive commodity type can be conveniently improved.
Further, in order to further improve the satisfaction of the user, the method further includes a step Sa1 (not shown in the drawings), a step Sa2 (not shown in the drawings), a step Sa3 (not shown in the drawings), and a step Sa4 (not shown in the drawings), wherein:
step Sa1: and obtaining the interested commodity information selected by the user.
Specifically, the user may select the interested commodity information when browsing the commodity information, and when selecting the interested commodity information, the user may select one or more of the interested commodity information, may select a suit or a skirt, and is not specifically limited in the embodiment of the present application.
Step Sa2: and binding the interested commodity information with the virtual image, displaying the virtual image of the bound interested commodity information, and sending the generated satisfaction questionnaire to the terminal equipment of the user so as to facilitate the satisfaction evaluation of the user.
Step Sa3: and when the satisfaction is lower than a preset satisfaction threshold, acquiring the adjustment information input by the user.
Specifically, the information of the interested goods is bound to the virtual image, the specific binding mode can refer to the process of binding the target goods to the virtual image, after the virtual image bound with the goods information is displayed to the user, the electronic device can generate a satisfaction questionnaire to enable the user to evaluate the interested goods, if the satisfaction is higher than a preset satisfaction threshold, the user is represented to be satisfied with the interested goods, and if the satisfaction is lower than the preset satisfaction threshold, the user is indicated to be unsatisfied with the interested goods. The preset satisfaction threshold may be input by a user.
The reason that the satisfaction degree of the user on the interested commodity is lower than the preset satisfaction degree threshold value may be that the upper body effect is different from the commodity plane graph, and because the user only sees the plane graph of the commodity when selecting the commodity information and the display effect of the virtual image is closer to the upper body effect of the user, the commodity interested by the user is not necessarily the commodity suitable for the user; the reason why the satisfaction is lower than the preset satisfaction threshold may also be that, after the user sees the display effect of the avatar, the user may need to adjust the local design in the interested product in order to improve the upper body effect, for example, when the interested product is a camel coat with an a-type version, the user may want to adjust the camel to black or the a-type to a waisted version in order to improve the upper body effect of the user.
The method comprises the steps that whether information of interested commodities needs to be adjusted or not is judged according to satisfaction, and the fact that the user watches the display effect can be judged through obtaining the facial expression of the user, when the facial expressions of the user such as locking of the eyebrows, narrowing of the distance between the eyebrows and the eyes, contraction of pupils, pressing of the mouth corners and the like are determined through face feature recognition, the user can be determined to be unsatisfied with the display effect, the user can be reminded to input adjustment information through a pop-up window mode, the position needing to be adjusted can be input through the user when the user inputs the adjustment information, and an adjustment result can be obtained, wherein when the position needing to be adjusted is input, text input and voice input can be carried out, and the position needing to be adjusted can be determined through marking in the display content, so that the electronic equipment can conveniently pass through the marked position.
When the facial expression of the user is determined, after the authorization of the user is obtained, the image information of the user when the user watches the display content is obtained, and the facial features of the obtained image information are identified, wherein the facial features at least comprise eyes, eyebrows, a nose and a mouth, and the facial expression of the user when the user watches the display content is conveniently determined by determining the displacement information of each facial feature.
Step Sa4: and determining the optimized interested commodity information according to the adjustment information, and binding the optimized interested commodity information with the virtual image for displaying.
Specifically, the adjustment information may be input by the user, and traversal is performed from the store information according to the adjustment information and the interesting commodity information selected by the user to obtain optimized interesting commodity information, for example, the interesting commodity information of the user before adjustment is a camel coat in an a-word format, the adjustment information is an a-word format adjusted to a waisted format, and the optimized interesting commodity information is a camel coat in a waisted format.
According to the embodiment of the application, the interested commodity information selected by the user is displayed on the virtual image, the upper body effect of the commodity information is conveniently displayed for the user, when the upper body effect of the interested commodity is not satisfied by the user, the interested commodity can be optimized according to the adjustment suggestion of the user, the commodity information is re-determined, the optimized commodity information is displayed on the virtual image, the user can select and provide the adjustment information by himself, the satisfaction degree of the user is conveniently improved, and the order completion rate is further conveniently improved.
Further, the method further comprises a step Sb1 (not shown in the drawings), a step Sb2 (not shown in the drawings), a step Sb3 (not shown in the drawings) and a step Sb4 (not shown in the drawings), wherein:
step Sb1: acquiring the dressing requirement information of the user, wherein the dressing requirement information of the user comprises an applicable scene and an applicable dressing combination.
Specifically, the applicable scene is used for representing the scene applicable to the clothing, and can be an office, a party, a conference and the like; the fit-to-wear combination is used for representing the type of wear required and can be long skirt, full dress, casual wear and the like. For politeness, the wearing requirements are different in different occasions, for example, the sweater is suitable for being worn at home, in sports or during playing outside; shirts, polo shirts, and the like are suitably worn while participating in work, and the applicable scene and the use wear combination included in the user demand information can be input by the user.
Step Sb2: and determining the corresponding applicable dressing according to the dressing requirement information of the user.
Specifically, when determining that the clothing is suitable for use, a part of the clothing suitable for the current scene may be selected according to the suitable scene, and then secondary screening may be performed according to the suitable wearing combination in the user requirements, so as to obtain the suitable clothing.
In order to improve the satisfaction degree of the user, optimization is needed according to the size information of the user when the suitable dress is determined.
Step Sb2: acquiring ornament requirement information of a user, and determining an applicable ornament corresponding to the user according to the applicable dressing.
Step Sb3: the applicable clothes and the applicable ornaments form the applicable clothes of the user.
Specifically, the accessory requirement information may include requirements of the user for a bag, a necklace, a sunglass, a hat, and the like, for example, after determining that the applicable dressing is a black dress evening dress, when it is detected that the user has a requirement for the necklace, a pearl necklace may be selected as the applicable accessory, the number of the applicable accessories is plural, and the user may select from among the plural applicable accessories to improve the satisfaction of the user.
When the dress requirement information of a user and the accessory requirement information of the user are obtained, the text information input by the user can be obtained, the audio information of the user can also be obtained, when the text information is input by the user, the text information is subjected to semantic recognition to determine the requirement content of the user, wherein when the text information is subjected to semantic recognition, the text information can be subjected to stop word processing through a natural language processing technology, and then the text information is subjected to word segmentation processing to obtain the corresponding requirement content; when the user inputs audio data, a plurality of audio sentences can be obtained by sentence cutting processing on the audio data, and then semantic recognition is performed on each audio sentence to obtain demand information corresponding to the audio data.
According to the method and the device, the applicable clothes corresponding to the applicable scene and the applicable clothes combination can be determined according to the clothes requirement information of the user, and the commodity information which does not meet the clothes requirement and the ornament requirement of the user can be removed conveniently by screening the clothes requirement information and the ornament requirement information of the user, so that the efficiency of the user in selecting the applicable clothes is improved, and the clothes purchased by the user can be more satisfied.
Further, step Sb3 determines a suitable clothing corresponding to the user, and then includes step Sb4 (not shown in the drawings), step Sb5 (not shown in the drawings), and step Sb6 (not shown in the drawings), in which:
step Sb4: an image of the user's head is acquired.
Specifically, the head image may be a self-portrait image of the user or a half-body photograph of the user, as long as the head and the hair style of the user can be included.
Step Sb5: and determining the face type of the user and the hair style type of the user according to the head image.
Specifically, when the face type of the user is determined, the face feature recognition can be performed on the head image, and the corresponding face type can be determined according to the distance between the face features, for example, the face type with the widths of the forehead, the cheekbone and the mandible forming an equal straight line is a long face type; the human face with obvious edges and corners and V-shaped trend from cheekbones to chin is a melon seed face; the cheekbones of the face are wide and large, and the face type of the forehead and the chin are relatively sharp is a diamond face.
The hair style type of the user can be identified by the hair style identification model to the head image of the user, and the hair style type of the user comprises black, long and straight hair, long and curly hair, short hair, flat head and the like.
Step Sb6: and optimizing and updating the applicable clothes according to the type of the face and the type of the hair style of the user.
Specifically, different face types and different hairstyle types correspond to different clothes, for example, a user with a round face is not suitable for wearing clothes with a round neckline, a high-neckline poncho or clothes with a hat, and is not suitable for wearing large and round earrings, preferably a V-shaped collar or lapel clothes, and earrings or small earrings; the user with the face type being long face is not suitable for wearing clothes with the same neckline as the face type, V-shaped necklines, long and drooping earrings, round necklines, high necklines, polo shirts or coats with hats and wide earrings. When the hairstyle of the user is short hair or low horsetail, the user can be matched with dry-exercise clothes; when the hairstyle of the user is long curly hair or high horse tail, the clothes with youthful vigor can be matched. Clothes which do not conform to the user can be removed conveniently according to the type of the face and the type of the hair style of the user.
When a user needs sunglasses as decorations, different types of sunglasses suitable for different face shapes are different, for example, when the face shape of the user is a round face, the sunglasses are suitable for wearing a square mirror frame with clear water chestnuts and are not suitable for wearing a round mirror frame; when the face of the user is a square face, the sunglasses with the oval or round mirror frames are suitable to be worn, and the sunglasses with the square mirror frames are not suitable to be worn; when the face of the user is a rectangular face, the sunglasses with the mirror frames which are oval, large in curve and wide in fillet are suitable to be worn, and the rectangular mirror frames are not suitable to be worn; when the face of the user is a rhombic face, the glasses are suitable for wearing sunglasses with cat-eye-shaped, long and narrow, oval and half-frame glasses frames and are not suitable for wearing sunglasses with square glasses frames; when the user continuously acts as a melon seed face, the glasses are suitable for wearing long and narrow, frameless or glasses with larger lower edges and are not suitable for wearing a toad mirror; when the face of the user is in an oval shape, the sunglasses with all styles are suitable to be worn.
The corresponding skin color of the user can be determined through the head image of the user, and the applicable clothes can be optimized conveniently according to the skin color, for example, the user with yellow skin color is not suitable for wearing blue and purple clothes with high brightness, and is suitable for wearing warm or light clothes; the user with black and yellow skin is not suitable for wearing camel, green and black clothes, and light color mixed colors such as light apricot color, light gray, white and the like can be selected; users with white skin color should not wear cool-tone clothes, and generally, light-tone clothes such as blue, yellow, light orange yellow, light rose, and light green can be selected.
In order to improve the upper body effect of the applicable clothes, the head information of the virtual image can be determined according to the head image provided by the user, so that the virtual image is more in line with the user image when the clothes are displayed.
For the embodiment of the application, the applicable clothes are optimized according to the face shape and the hair style of the user, so that the optimized clothes more conform to the mind of the user, and the satisfaction of the user in purchasing commodities is further improved.
Further, in order to improve the experience of the user when purchasing the goods, the method further comprises the following steps:
when a user needs to purchase a plurality of commodities displayed in the virtual image, the shop information corresponding to each commodity can be determined through the commodity information corresponding to each commodity, and the summarized shop information is sent to the terminal equipment of the user, so that the user can pay according to the summarized shop information.
The above embodiments introduce a method for automatically collocating commodities from the perspective of method flow, and the following embodiments introduce a device for automatically collocating commodities from the perspective of virtual modules or virtual units, which are described in detail in the following embodiments.
An embodiment of the present application provides an apparatus for automatically matching commodities, as shown in fig. 2, the apparatus may specifically include a size information obtaining module 210, an avatar determining module 220, an adapted commodity type determining module 230, a commodity preference determining module 240, a target commodity determining module 250, and a commodity display module 260, wherein:
an obtaining size information module 210, configured to obtain size information of a user;
an avatar determination module 220 for determining an avatar corresponding to the size information according to the size information;
an adapted commodity type determining module 230, configured to determine an adapted commodity type of the user based on the size information, where the adapted commodity type is used to represent a commodity model adapted to the size information;
a commodity preference determining module 240, configured to obtain historical purchase information of the user, and determine a commodity preference according to the historical purchase information, where the commodity preference is used to represent a favorite style of the user;
a target commodity determining module 250 for determining a target commodity according to the adapted commodity type and the commodity preference;
and the commodity display module 260 is used for binding the target commodity to the virtual image and displaying the target commodity to the user.
In a possible implementation manner, when obtaining the size information of the user, the obtaining size information module 210 is specifically configured to:
acquiring size information input by a user;
and/or the presence of a gas in the gas,
the method comprises the steps of obtaining the whole body illumination of a user, and determining the size information of the user according to the whole body illumination.
In a possible implementation manner, when determining the avatar corresponding to the size information according to the size information, the determine avatar module 220 is specifically configured to:
determining a plurality of human skeletal points of the user according to the size information;
determining a bone point distance between a plurality of human bone points;
and modeling according to the distances of the plurality of bone points to obtain an avatar corresponding to the size information.
In one possible implementation, the determine fit commodity type module 230, when determining the fit commodity type of the user based on the size information, is specifically configured to:
determining a plurality of body part proportions of the user according to the size information;
and determining the type of the matched commodity corresponding to the size information according to the proportion of each body part.
In one possible implementation, the apparatus further includes:
the interesting commodity information acquisition module is used for acquiring the interesting commodity information selected by the user;
the satisfaction survey module is used for binding the interested commodity information with the virtual image, displaying the virtual image of the bound interested commodity information and sending the generated satisfaction questionnaire to the terminal equipment of the user so as to facilitate satisfaction evaluation of the user;
the adjusting information obtaining module is used for obtaining the adjusting information input by the user when the satisfaction degree is lower than a preset satisfaction degree threshold value;
and the adjusting module is used for determining the optimized interested commodity information according to the adjusting information, binding the optimized interested commodity information with the virtual image and then displaying the bound interested commodity information.
In one possible implementation, the apparatus further includes:
the first acquiring demand information module is used for acquiring the wearing demand information of a user, and the user demand information comprises an applicable scene and an applicable wearing combination;
the applicable dressing determining module is used for determining corresponding applicable dressings according to the user demand information;
the second acquiring demand information module is used for acquiring demand information of the user ornaments and determining corresponding applicable ornaments according to applicable dresses;
and determining an applicable clothing module for forming the applicable clothing of the user by the applicable clothing and the applicable ornaments.
In one possible implementation manner, the method further includes:
the head image acquisition module is used for acquiring a head image of a user;
the type determining module is used for determining the face type of the user and the hair style type of the user according to the head image;
and the optimization result module is used for optimizing and updating the applicable clothes according to the type of the face and the type of the hair style of the user.
In an embodiment of the present application, an electronic device is provided, as shown in fig. 3, where the electronic device 300 shown in fig. 3 includes: a processor 301 and a memory 303. Wherein the processor 301 is coupled to the memory 303, such as via bus 302. Optionally, the electronic device 300 may also include a transceiver 304. It should be noted that the transceiver 304 is not limited to one in practical applications, and the structure of the electronic device 300 is not limited to the embodiment of the present application.
The Processor 301 may be a CPU (Central Processing Unit), a general-purpose Processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array), or other Programmable logic device, transistor logic device, hardware component, or any combination thereof. Which may implement or perform the various illustrative logical blocks, modules, and circuits described in connection with the disclosure. The processor 301 may also be a combination of computing functions, e.g., comprising one or more microprocessors, a combination of a DSP and a microprocessor, or the like.
The Memory 303 may be a ROM (Read Only Memory) or other type of static storage device that can store static information and instructions, a RAM (Random Access Memory) or other type of dynamic storage device that can store information and instructions, an EEPROM (Electrically Erasable Programmable Read Only Memory), a CD-ROM (Compact Disc Read Only Memory) or other optical Disc storage, optical Disc storage (including Compact Disc, laser Disc, optical Disc, digital versatile Disc, blu-ray Disc, etc.), a magnetic Disc storage medium or other magnetic storage device, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer, but is not limited to these.
The memory 303 is used for storing application program codes for executing the scheme of the application, and the processor 301 controls the execution. The processor 301 is configured to execute application program code stored in the memory 303 to implement the aspects illustrated in the foregoing method embodiments.
Among them, electronic devices include but are not limited to: mobile terminals such as mobile phones, notebook computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), in-vehicle terminals (e.g., in-vehicle navigation terminals), and the like, and fixed terminals such as digital TVs, desktop computers, and the like. But also a server, etc. The electronic device shown in fig. 3 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present application.
The embodiment of the present application provides a computer readable storage medium, on which a computer program is stored, and when the computer program runs on a computer, the computer is enabled to execute the corresponding content in the foregoing method embodiment. Compared with the prior art, the method and the device have the advantages that the commodity type suitable for the user is determined according to the size information of the user, namely the dressing type suitable for the user is determined, the dressing style liked by the user is determined according to the historical purchase information of the user, so that the automatically recommended dressing conforms to the aesthetic sense of the user, the automatically recommended dressing is displayed on the virtual image corresponding to the size information of the user, the upper body effect corresponding to the automatically recommended dressing can be checked through the display content, the real upper body effect of the user wearing the dressing can also be checked, the upper body effect of the dressing is not displayed through a dress model, the automatically recommended dress is displayed through the virtual model, the user can purchase the dress meeting the mind of the user, and the experience and satisfaction of the user can be improved.
It should be understood that, although the steps in the flowcharts of the figures are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and may be performed in other orders unless otherwise indicated herein. Moreover, at least a portion of the steps in the flow chart of the figure may include multiple sub-steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of execution is not necessarily sequential, but may be performed alternately or alternately with other steps or at least a portion of the sub-steps or stages of other steps.
The foregoing is only a few embodiments of the present application and it should be noted that those skilled in the art can make various improvements and modifications without departing from the principle of the present application, and that these improvements and modifications should also be considered as the protection scope of the present application.
Claims (10)
1. An automatic commodity matching method is characterized by comprising the following steps:
acquiring size information of a user;
determining an avatar corresponding to the size information according to the size information;
determining an adapted commodity type of the user based on the size information, wherein the adapted commodity type is used for representing a commodity model adapted to the size information;
acquiring historical purchase information of the user, and determining commodity preference according to the historical purchase information, wherein the commodity preference is used for representing the favorite style of the user;
determining a target commodity according to the matched commodity type and the commodity preference;
and binding the target commodity to the virtual image and displaying the target commodity to the user.
2. The method of claim 1, wherein the obtaining of the size information of the user comprises:
acquiring size information input by a user;
and/or the presence of a gas in the gas,
and acquiring the whole body illumination of the user, and determining the size information of the user according to the whole body illumination.
3. The method as claimed in claim 1, wherein the determining the avatar corresponding to the size information according to the size information comprises:
determining a plurality of human skeletal points of the user according to the size information;
determining a bone point distance between the plurality of human bone points;
and modeling according to the distances of the plurality of bone points to obtain an avatar corresponding to the size information.
4. The method as claimed in claim 1, wherein the determining the adapted commodity type of the user based on the size information comprises:
determining a plurality of body part proportions of the user according to the size information;
and determining the type of the matched commodity corresponding to the size information according to the proportion of each body part.
5. The method of claim 1, further comprising:
obtaining interested commodity information selected by a user;
binding the interested commodity information with the virtual image, displaying the bound interested commodity information virtual image, and sending the generated satisfaction questionnaire to the terminal equipment of the user so as to enable the user to perform satisfaction evaluation;
when the satisfaction degree is lower than a preset satisfaction degree threshold value, acquiring adjustment information input by a user;
and determining the optimized interested commodity information according to the adjustment information, and binding the optimized interested commodity information with the virtual image for displaying.
6. The method of claim 1, further comprising:
acquiring dressing requirement information of a user, wherein the dressing requirement information of the user comprises an applicable scene and an applicable dressing combination;
determining corresponding applicable dresses according to the dress requirement information of the user;
acquiring ornament demand information of a user, and determining an applicable ornament corresponding to the user according to the applicable dressing;
the applicable apparel and the applicable accessories constitute the applicable apparel for the user.
7. The method of claim 6, wherein determining the applicable accessories corresponding to the user further comprises:
acquiring a head image of the user;
determining the face type of the user and the hair style type of the user according to the head image;
and optimizing and updating the applicable clothes according to the face type and the hair style type of the user.
8. An automatic matching device for commodities is characterized by comprising:
the size information acquisition module is used for acquiring size information of a user;
the virtual image determining module is used for determining a virtual image corresponding to the size information according to the size information;
an adaptive commodity type determining module, configured to determine an adaptive commodity type of the user based on the size information, where the adaptive commodity type is used to represent a commodity model adapted to the size information;
the commodity preference determining module is used for acquiring historical purchase information of the user and determining commodity preference according to the historical purchase information, wherein the commodity preference is used for representing the favorite style of the user;
the target commodity determining module is used for determining a target commodity according to the type of the matched commodity and the commodity preference;
and the commodity display module is used for binding the target commodity to the virtual image and displaying the target commodity to the user.
9. An electronic device, comprising:
at least one processor;
a memory;
at least one application, wherein the at least one application is stored in the memory and configured to be executed by the at least one processor, the at least one application configured to: a method of performing an automated matching of a commodity according to any one of claims 1 to 7.
10. A computer-readable storage medium, comprising: a computer program that can be loaded by a processor and that executes a method according to any of claims 1-7.
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| CN202310106484.7A CN115760319A (en) | 2023-02-13 | 2023-02-13 | Automatic commodity collocation method and device, electronic equipment and storage medium |
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| CN108256975A (en) * | 2018-01-23 | 2018-07-06 | 喻强 | Wearing for 3-D effect is provided for virtual fitting person take system and method based on artificial intelligence |
| CN111681070A (en) * | 2020-05-25 | 2020-09-18 | 深圳市商汤科技有限公司 | Method, device, storage device and equipment for purchasing online commodities |
| CN114638929A (en) * | 2022-03-10 | 2022-06-17 | 平安普惠企业管理有限公司 | Online virtual fitting method and device, electronic equipment and storage medium |
| CN115147193A (en) * | 2022-09-02 | 2022-10-04 | 深圳前海鹏影数字软件运营有限公司 | Commodity purchasing recommendation method and device, electronic purchasing terminal and medium |
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Application publication date: 20230307 |