CN113412983B - Underwear customization method and device under measurement fault tolerance scene - Google Patents
Underwear customization method and device under measurement fault tolerance scene Download PDFInfo
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- CN113412983B CN113412983B CN202110612895.4A CN202110612895A CN113412983B CN 113412983 B CN113412983 B CN 113412983B CN 202110612895 A CN202110612895 A CN 202110612895A CN 113412983 B CN113412983 B CN 113412983B
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- A—HUMAN NECESSITIES
- A41—WEARING APPAREL
- A41H—APPLIANCES OR METHODS FOR MAKING CLOTHES, e.g. FOR DRESS-MAKING OR FOR TAILORING, NOT OTHERWISE PROVIDED FOR
- A41H1/00—Measuring aids or methods
- A41H1/02—Devices for taking measurements on the human body
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
Abstract
The invention provides a method and a device for customizing underwear under a measurement fault-tolerant scene, wherein the method comprises the following steps: acquiring measurement input of a current user aiming at each chest measurement parameter; based on the constraint relation between each chest qualitative parameter and each chest measurement parameter and the chest qualitative data of the current user, correcting the measurement input of each chest measurement parameter to obtain the chest measurement data of the current user; the constraint relationship is determined based on sample chest qualitative data and sample chest measurement data of the sample user; based on the chest measurement data of the current user, an underwear style is recommended to the current user. The method and the device provided by the invention correct the measurement input obtained by the measurement of the user, thereby ensuring the reliability and the accuracy of the chest measurement data for the underwear style recommendation, providing accurate and reliable underwear style recommendation service for the user and being beneficial to the popularization of online underwear customization.
Description
Technical Field
The invention relates to the technical field of computers, in particular to an underwear customization method and device under a measurement fault tolerance scene.
Background
Compared with the common plate making of the commercial underwear, the customized underwear has the characteristic of distinguishing only in size, and the customized underwear conforms to the principle of one plate for one person, thereby providing the underwear which fits the body type of the user.
Currently, underwear customization generally requires a user to go to a store for professional volume measurement, which requires the user to set up a store in the city where the user is located, and the user himself has time to go to the volume measurement, which has requirements for both store distribution and user time.
For this problem, an online volume has been developed. The on-line measuring body has no limitation on the position of the user, and the user only needs to finish measuring the body by himself and input the data obtained by measuring the body into the customized underwear system. However, the volume data required for customizing the underwear is extremely complex, and the user may not know the parameters to be measured, so that erroneous data are measured and selected, and the reliability of the underwear model recommended by the user is directly affected.
Disclosure of Invention
The invention provides an underwear customization method and device in a measurement fault-tolerant scene, which are used for solving the problem that the reliability of underwear model recommendation is low due to inaccurate self-volume data of the existing user.
The invention provides an underwear customization method under a measurement fault-tolerant scene, which comprises the following steps:
Acquiring measurement input of a current user aiming at each chest measurement parameter;
correcting the measurement input of each chest measurement parameter based on the constraint relation between each chest qualitative parameter and each chest measurement parameter and the chest qualitative data of the current user to obtain the chest measurement data of the current user; the constraint relationship is determined based on sample chest qualitative data and sample chest measurement data of a sample user;
based on the chest measurement data of the current user, recommending underwear patterns to the current user.
According to the underwear customization method under the measurement fault-tolerant scene provided by the invention, the measurement input of each chest measurement parameter is corrected based on the constraint relation between each chest qualitative parameter and each chest measurement parameter and the chest qualitative data of the current user to obtain the chest measurement data of the current user, and the method comprises the following steps:
the chest qualitative data and the measurement input of each chest measurement parameter are matched with the constraint relation between each chest qualitative parameter and each chest measurement parameter, and the matching failure times of each measurement input are determined;
determining correct input in each measurement input based on the number of matching failures of each measurement input;
Based on the correct inputs, the chest measurement data is determined.
According to the underwear customization method under the measurement fault-tolerant scene provided by the invention, the correct input in each measurement input is determined based on the matching failure times of each measurement input, and the method comprises the following steps:
selecting the measurement input with the highest matching failure frequency as error input;
and deleting the error input, and updating the matching failure times of the associated measurement input of the error input until the matching failure times of all the remaining measurement inputs are 0.
According to the method for customizing the underwear under the measurement fault-tolerant scene provided by the invention, the matching failure times of the associated measurement input of the updating error input comprise the following steps:
determining each match of the erroneous input to the associated measurement input;
if any matching condition is successful, adding one to the matching failure times input by the association measurement;
and if any matching condition is the matching failure, subtracting one from the matching failure times input by the association measurement.
According to the method for customizing the underwear under the measurement fault-tolerant scene provided by the invention, the chest measurement data is determined based on each correct input, and the method comprises the following steps:
Based on the chest qualitative parameter and each correct input, predicting corresponding data of chest measurement parameters input in error to obtain complement data;
based on each correct input and the complement data, the chest measurement data is determined.
According to the underwear customization method under the measurement fault-tolerant scene provided by the invention, the constraint relation determining method comprises the following steps:
based on sample chest qualitative data and sample chest measurement data of a sample user, carrying out association mining on each chest qualitative parameter and each chest measurement parameter to obtain association measurement parameters of each chest qualitative parameter and association measurement parameters of each chest measurement parameter;
selecting a first constraint data set of each chest qualitative parameter and the associated measurement parameter thereof and a second constraint data set of each chest measurement parameter and the associated measurement parameter thereof from sample chest qualitative data and sample chest measurement data of a sample user;
the constraint relationship is established based on the first constraint data set and the second constraint data set.
According to the method for customizing the underwear under the measurement fault-tolerant scene provided by the invention, the error correction is carried out on the measurement input of each chest measurement parameter based on the constraint relation between each chest qualitative parameter and each chest measurement parameter and the chest qualitative data of the current user, and the method further comprises the following steps:
Obtaining at least one of self-qualitative data, editorial qualitative data, and a chest image, the self-qualitative data being entered by the current user, the editorial qualitative data being entered by an editorial serving the current user;
based on at least one of the self-qualitative data, the plater qualitative data, and the chest image, chest qualitative data of the current user is determined.
The invention provides an underwear customization device under a measurement fault-tolerant scene, which comprises:
an input acquisition unit for acquiring measurement input of the current user for each chest measurement parameter;
the input error correction unit is used for correcting the measurement input of each chest measurement parameter based on the constraint relation between each chest qualitative parameter and each chest measurement parameter and the chest qualitative data of the current user to obtain the chest measurement data of the current user; the constraint relationship is determined based on sample chest qualitative data and sample chest measurement data of a sample user;
and the layout recommending unit is used for recommending underwear layout to the current user based on the chest measurement data of the current user.
The invention also provides an electronic device comprising a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the steps of the underwear customization method under any one of the measurement fault-tolerant scenes are realized when the processor executes the computer program.
The present invention also provides a non-transitory computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the method for customizing an undergarment in a measurement fault tolerance scenario as described in any one of the above.
According to the underwear customization method and device in the measurement fault-tolerant scene, the constraint relation between each chest qualitative parameter and each chest measurement parameter is mined, and error correction is carried out on measurement input obtained by measurement of a user, so that reliability and accuracy of chest measurement data for underwear model recommendation are guaranteed, on-line body customization is enabled to be achieved, time cost of user shopping underwear is reduced, accurate and reliable underwear model recommendation service can be provided for the user, and popularization of on-line underwear customization is facilitated.
Drawings
In order to more clearly illustrate the invention or the technical solutions of the prior art, the following description will briefly explain the drawings used in the embodiments or the description of the prior art, and it is obvious that the drawings in the following description are some embodiments of the invention, and other drawings can be obtained according to the drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of an undergarment customizing method in a measurement fault tolerance scenario provided by the present invention;
FIG. 2 is a flow chart of an input error correction method provided by the invention;
FIG. 3 is a flow chart of the input discriminating method provided by the invention;
FIG. 4 is a flow chart of a constraint relationship determination method provided by the present invention;
FIG. 5 is a schematic illustration of chest measurement parameters provided by the present invention;
FIG. 6 is a second schematic diagram of chest measurement parameters provided by the present invention;
FIG. 7 is a third schematic illustration of chest measurement parameters provided by the present invention;
FIG. 8 is a fourth schematic illustration of chest measurement parameters provided by the present invention;
FIG. 9 is a schematic diagram of the configuration of the custom-made undergarment apparatus in a measurement fault tolerance scenario provided by the present invention;
fig. 10 is a schematic structural diagram of an electronic device provided by the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the present invention more apparent, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings, and it is apparent that the described embodiments are some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Because the measurement data required by the underwear customization is extremely complex, the measurement and selection of erroneous data can be caused by the fact that parameters to be measured are not known when the user line performs measurement, and the reliability of the underwear model recommended by the measurement and selection is directly affected. In order to solve the problem, the embodiment of the invention provides an underwear customization method in a measurement fault tolerance scene. Fig. 1 is a flow chart of an underwear customization method in a measurement fault-tolerant scenario, as shown in fig. 1, the method includes:
The current user referred to herein is the user who needs to make the underwear style recommendation. The chest measurement parameters may be measurement parameters reflecting chest conditions, such as any one or more of left and right inner-breast radius vertical data, left and right inner-breast radius fitting data, left and right outer-breast radius vertical data, left and right outer-breast radius fitting data, left and right upper-breast radius vertical data, left and right upper-breast radius fitting data, left and right lower-breast radius vertical data, left and right lower-breast radius fitting data, left and right breast height data, double-breast nipple spacing data, left and right breast lock-center distance, left and right breast shoulder distance, lower-breast circumference data, and upper-breast circumference data.
When a user carries out on-line underwear customization, the user can automatically measure each chest measurement parameter according to the parameter description or measurement guide of each chest measurement parameter, and input the measurement result into an underwear customization system, and the user input operation is respectively carried out on each chest measurement parameter, so that the obtained measurement input corresponds to the chest measurement parameter one by one.
For example, for the chest measurement parameter "left inside radius vertical data," the undergarment customization system may provide the current user with a text box for entering "left inside radius vertical data," into which the current user may input his own measurement directly as a measurement input of "left inside radius vertical data.
In particular, besides the chest measurement parameters, also chest qualitative parameters are used to describe the chest state. The chest qualitative parameter can qualitatively reflect chest state parameters, such as chest, chest drooping condition, chest external expansion condition, armpit neoplasm, chest softness, fault condition, breast spacing condition, breast root dimension condition, breast armpit adhesion condition, and breast compression deformation.
The chest measurement parameter and the chest qualitative parameter reflect the chest state of the user from a quantitative and qualitative perspective, respectively, wherein a single parameter can reflect the situation of a certain aspect. For the whole chest state, mutual constraint and correlation exist between the conditions of all aspects, for example, the chest qualitative parameter is a chest-stretching type, the chest-stretching type is more prominent and straight and pulled out compared with Asian chest type and European and American chest type in visual inspection, the chest-stretching type is similar to pineapple in shape, and the milk height of the chest-stretching type is usually not lower than 10 cm, namely, when the chest qualitative parameter is the chest-stretching type, the chest measurement parameter is more than or equal to 10 cm; for example, when the breast qualitative rating "breast drop" is of the drop breast type, there should be a large gap between the upper and lower radii, it is generally possible that the upper/lower radii >3, i.e. when the breast qualitative rating "breast drop" is of the drop breast type, the ratio between the breast measurement parameters "upper and lower radii" should be greater than 3.
Considering that the parameter to be measured may not be known when the user line is measured, the self-measurement operation is not necessarily standard, even the error-position-measurement data may be detected, the constraint relation between each chest qualitative parameter and each chest measurement parameter may be applied, the chest qualitative data of the current user may be matched, error checking may be performed on the measurement input of each chest measurement parameter obtained by the current user self-measurement, at this time, the measurement input which does not conform to the constraint relation may be used as the error input caused by the user measurement error, and on this basis, the error input may be corrected, for example, the error input may be deleted directly, or the input which actually corresponds to the chest measurement parameter corresponding to the error input may be deduced based on the constraint relation and the chest qualitative data, or based on the constraint relation and other correct inputs, thereby obtaining the result after error correction, that is, namely the chest measurement data of the current user. The chest measurement data referred to herein is data after error correction, and includes data corresponding to each chest measurement parameter.
Here, the constraint relation between each chest qualitative parameter and each chest measurement parameter may be a data range to which one or more chest measurement parameters associated may correspond or a data range to which one or more chest measurement parameters associated are not selectable when determining data corresponding to one chest qualitative parameter. The constraint relation between each chest qualitative parameter and each chest measurement parameter is obtained by carrying out association mining on the sample chest qualitative data and the sample chest measurement data of the sample user. The sample chest qualitative data comprises data corresponding to each chest qualitative parameter of a sample user, and is distinguished from measurement input, wherein the sample chest measurement data can be reliable data obtained by measuring by a plater.
Prior to execution of step 120, a constraint relationship between each chest qualitative parameter and each chest measurement parameter may be acquired, with specific acquisition methods including: sample chest qualitative data and sample chest measurement data of a sample user are first collected. On the basis, the constraint relation between the sample chest qualitative data and the corresponding data aiming at each chest qualitative parameter and each chest measuring parameter in the sample chest qualitative data and the sample chest measuring data of the sample user is mined, and the constraint relation is used as the constraint relation between each chest qualitative data and each chest measuring data.
Specifically, after chest measurement data of the current user is obtained, underwear style recommendation can be performed on the current user. Furthermore, the qualitative data and the chest measurement data of the chest can be combined to conduct underwear model recommendation in qualitative and quantitative aspects, so that reliability and accuracy of underwear customization based on recommended models are guaranteed.
According to the method provided by the embodiment of the invention, the constraint relation between each chest qualitative parameter and each chest measurement parameter is mined, and the measurement input obtained by the measurement of the user is corrected, so that the reliability and the accuracy of chest measurement data for the underwear model recommendation are ensured, the on-line volume customization is realized, the time cost of the user purchasing underwear is reduced, and meanwhile, the accurate and reliable underwear model recommendation service is provided for the user, and the popularization of the on-line underwear customization is facilitated.
Based on the above embodiment, fig. 2 is a flow chart of the input error correction method provided by the present invention, as shown in fig. 2, step 120 includes:
step 121, the chest qualitative data and the measurement inputs of the chest measurement parameters are matched with the constraint relation between the chest qualitative parameters and the chest measurement parameters, and the matching failure times of the measurement inputs are determined.
In particular, the constraint relation between each chest qualitative parameter and each chest measurement parameter may be expressed in particular as a constraint relation between each chest qualitative parameter and one or more chest measurement parameters.
For the constraint relation between any chest qualitative parameter and one or more chest measurement parameters, the constraint relation can be matched with data corresponding to each parameter, for example, when the constraint relation between the chest type and the breast height indicates that the chest type is a breast-stretching type, the chest measurement parameter of the breast height should be more than or equal to 10 cm, and if the chest type of the current user is the breast-stretching type, but the measurement input corresponding to the breast height is only 5 cm, the measurement input of the breast height is counted for one matching failure, and the corresponding matching failure frequency is increased by 1.
Specifically, the reason for the failure of the measurement input matching may be that the measurement input matching is self-error or that other measurement inputs associated with the measurement input matching are error, so that the error measurement input cannot be directly located by the matching result once. For this case, the number of matching failures of each measurement input may be counted, and in the case where the number of matching failures is constant, the higher the number of matching failures, the higher the probability that the measurement input itself is erroneous. Conversely, if the number of matches for a measurement input is high and the number of failures is low, it is believed that the cause of the measurement input match failure is highly probable because of other measurement input errors associated therewith, and not the problem of the measurement input itself.
After the matching failure times of each measurement input are obtained, the reasons of each matching failure can be analyzed, which measurement inputs are likely to be wrong, so that the wrong input in the measurement inputs of each chest measurement parameter is screened out, and the correct input is reserved.
Specifically, after the error input is removed, the chest measurement data of the current user can be determined based on the rest correct input, for example, the removed chest measurement parameters with the error input can be directly left blank, only the correct input is used as the chest measurement data, and the data actually corresponding to the chest measurement parameters with the error input can be deduced by combining the constraint relation between each chest qualitative parameter and each chest measurement parameter on the basis of the correct input, so that the chest measurement data is completed.
According to the method provided by the embodiment of the invention, the error input which does not accord with the constraint relation is filtered through counting the matching failure times of each measurement input, so that the reliability and the accuracy of the chest measurement data are ensured.
Based on any of the above embodiments, fig. 3 is a flow chart of the input discriminating method provided by the present invention, as shown in fig. 3, step 122 includes:
In step 1221, the measurement input with the highest number of matching failures is selected as the error input.
In particular, the current user's measurement inputs for each chest measurement parameter may be problematic in themselves, requiring a one-by-one discrimination of each measurement input. When determining the order of judging the measurement input, the number of matching failures can be taken as a consideration, and generally, the more the number of matching failures obtained by statistics after the measurement input parameters and the matching, the higher the corresponding matching failure probability. In the embodiment of the invention, each time input discrimination is performed, the measurement input with the highest matching failure frequency in all undetermined measurement inputs can be directly determined as the error input.
Specifically, after determining the erroneous input, a measurement input with which the erroneous input is associated, that is, an associated measurement input of the erroneous input, may also be determined based on the association between the chest measurement data indicated in the constraint relation. For example, the constraint relationship between "breast drop condition" and "upper and lower radii" indicates that the ratio of the upper and lower radii of the drop breast should be greater than 3, that is, that there is an association between "upper and lower radii", and that when the "upper radius" is determined to be an erroneous input, it is possible to simultaneously locate the "lower radius" associated with the "upper radius".
After determining the erroneous input, the erroneous input may be deleted directly and the number of matching failures associated with the measurement input may be updated.
After that, it is further required to determine whether the number of matching failures of all the remaining measurement inputs is 0, which means that all the remaining measurement inputs conform to the constraint relationship, that is, all the remaining measurement inputs are correct inputs, and at this time, step 1221 may not be executed again, and the determination flow is ended; if not, 0 s, then it is indicated that there are still non-screened error inputs in the remaining measurement inputs, and execution returns to step 1221.
Based on any of the above embodiments, in step 1222, updating the number of matching failures of the associated measurement input of the erroneous input includes:
determining each match of the erroneous input with the associated measurement input;
if any matching condition is successful, adding one to the matching failure times input by the association measurement;
if any matching condition is the matching failure, the matching failure times input by the association measurement are subtracted by one.
Specifically, there may be a constraint relationship between the erroneous input and its associated measurement input and a plurality of chest qualitative ratings, and correspondingly, the erroneous input and its associated measurement input may participate in a plurality of matches at the same time, and when updating the number of times of failure in matching of the associated measurement input, it is first necessary to determine a matching condition of each match in which the erroneous input and its associated measurement input participate at the same time. The matching condition referred to herein may be that the matching is successful or that the matching is failed.
For any one matching which is participated in by the two, if the matching condition is successful under the condition that the problem exists in the false input, the correlation measurement input associated with the false input is indicated to have the problem, and the matching failure times of the correlation measurement input are increased by 1 correspondingly; if the match is a match failure, the reason for the match failure should be that the error input itself is not related to the associated measurement input, and the number of match failures of the associated measurement input is correspondingly reduced by 1.
Based on any of the above embodiments, step 123 includes:
based on chest qualitative parameters and each correct input, predicting corresponding data of chest measurement parameters input in error to obtain complement data;
based on each correct input and complement data, chest measurement data is determined.
Specifically, after deleting the error input, the data actually corresponding to the chest measurement parameters with the error input can be deduced by combining the constraint relation between the chest qualitative parameters and the chest measurement parameters on the basis of the correct input, and the deduced data is used as the complement data to replace the error input, so that the chest measurement data obtained by error correction contains the data corresponding to all the chest measurement parameters completely, the integrity and the comprehensiveness of the chest measurement data are ensured, and the accuracy and the reliability of the underwear version recommendation based on the chest measurement parameters are improved.
Based on any one of the above embodiments, fig. 4 is a flow chart of a constraint relation determining method provided by the present invention, where, as shown in fig. 4, the constraint relation determining method includes:
The association mining referred to herein is a data mining approach that can mine implicit relationships between objects from large-scale data. In particular, in the embodiment of the present invention, the association mining is used to mine implicit association relations between each chest qualitative parameter and each chest measurement parameter, and implicit association relations between each chest measurement parameter, from sample chest qualitative data and sample chest measurement data of a sample user, thereby obtaining association measurement parameters of each chest qualitative parameter and association measurement parameters of each chest measurement parameter. Here, for any chest qualitative parameter, the associated measurement parameter thereof, i.e. the chest measurement parameter having an implicit association with the chest qualitative parameter, e.g. the associated measurement parameter of the chest qualitative parameter "chest type" comprises "breast height"; for any chest measurement parameter, its associated measurement parameter is the other chest measurement parameter with which there is an implicit association, such as "radius on milk" and "radius under milk".
Further, the algorithm used for association mining herein may be Apriori algorithm, FP-growth algorithm, etc.
At step 430, a constraint relationship is established based on the first constraint data set and the second constraint data set.
Specifically, after obtaining the associated measurement parameters of each chest qualitative parameter, for any chest qualitative parameter and a corresponding associated measurement parameter, a data pair of the chest qualitative parameter and the chest measurement parameter can be selected from a large number of sample chest qualitative data and sample chest measurement data, and the data pair is used as a constraint data set of the chest qualitative parameter and the chest measurement parameter and is used as a first constraint set. Similarly, after obtaining the associated measurement parameters of each chest measurement parameter, for any chest measurement parameter and a corresponding associated measurement parameter, a data pair of the chest measurement parameter and the corresponding associated measurement parameter can be selected from a large number of sample chest measurement data, and the data pair is used as a constraint data set of the chest measurement parameter and the corresponding associated measurement parameter as a second constraint set.
On the basis, the constraint relation between the two can be established through neural network training, regression analysis and other modes, or the data of each parameter can be used as a word, the co-occurrence relation among the words can be counted through a word co-occurrence algorithm, and the co-occurrence relation among the words can be used as the constraint relation among the parameters.
And finally, integrating the constraint relation between all chest qualitative parameters and the associated measurement parameters thereof and the constraint relation between all chest measurement parameters and the associated measurement parameters thereof as the constraint relation between the chest qualitative parameters.
Based on any of the above embodiments, step 120 further includes, prior to:
obtaining at least one of self-qualitative data, editorial qualitative data, and a chest image, the self-qualitative data being entered by the current user, the editorial qualitative data being entered by an editorial who serves the current user;
chest qualitative data of the current user is determined based on at least one of the self-qualitative data, the plater qualitative data and the chest image.
Specifically, the source of the chest qualitative data of the current user may be input after the current user performs qualitative judgment on the chest state of the current user, or may be input after a editorial staff serving the current user performs qualitative judgment on the chest state of the current user, or may be obtained by performing qualitative judgment on the chest image of the current user according to the reflection of different chest states obtained by learning on the image and the relation between the corresponding qualitative data of the different chest states by the machine. Further, the chest image refers to an image including the chest of the current user, and may specifically include a front image of the chest, or may include both a front image and a side image of the chest, which is not specifically limited in the embodiment of the present invention.
After obtaining at least one of the self-qualitative data, the plater qualitative data and the chest image, the chest qualitative data of the current user may be determined based thereon. Here, if a chest image is obtained, the result of qualitative analysis of the chest image may be taken as one type of qualitative data, and comprehensive and accurate chest qualitative data may be determined in combination with the remaining qualitative data obtained, such as self-qualitative data, editors qualitative data.
Based on any of the above embodiments, determining chest qualitative data of the current user based on at least one of the self-qualitative data, the editorial qualitative data, and the chest image, comprises:
if the qualitative data of the editors exist, the qualitative data of the editors are used as the qualitative data of the chest of the current user;
if the chest image exists and the editors qualitative data does not exist, carrying out qualitative analysis on the chest image to obtain a qualitative analysis result, and determining chest qualitative data of the current user based on the qualitative analysis result or based on the qualitative analysis result and the self-qualitative data;
otherwise, the self-qualitative data is taken as chest qualitative data of the current user.
Specifically, various qualitative data have different sources, and the different sources determine the reliability and accuracy of the different qualitative data.
Considering that the reliability and accuracy of the qualitative data of the editors obtained by the qualitative judgment of the editors for the user are obviously higher than the self-qualitative data obtained by the self-qualitative of the user and the data obtained by the qualitative of the chest image by the machine as professionals in the underwear customization industry, when the qualitative data of the editors exist, the qualitative data of the editors can be directly used as the chest qualitative data of the current user, and whether the self-qualitative data or the data obtained by the qualitative of the chest image by the machine exist or not is not considered.
For the situation that no editors qualitative data exists, when a user self-qualitative the chest state of the user is considered, the user does not know the specific qualitative rule of the chest qualitative data generally, and the user needs to read a detailed explanation material party to determine which situation the user self-qualitative data belongs to, so that the obtained self-qualitative data may have a problem of poor reliability due to the user understanding errors. Therefore, when there is a chest image, it is possible to preferentially use the qualitative analysis result obtained by performing qualitative analysis on the chest image as chest qualitative data, or to determine the chest qualitative data in combination of the qualitative analysis result and the self-qualitative data.
Further, the chest qualitative data may be determined by combining the qualitative analysis result and the self-qualitative data, wherein a portion of the qualitative analysis result and the self-qualitative data that is consistent is used as chest qualitative data, or a portion of the qualitative analysis result and the self-qualitative data that is consistent is used as chest qualitative data, and a portion of the qualitative analysis result and the self-qualitative data that is inconsistent is returned to the current user for confirmation, and the confirmed result is then fed into the chest qualitative data.
According to the method provided by the embodiment of the invention, the priority of the source of the qualitative data is divided, the chest qualitative data is determined according to the priority, the reliability and the accuracy of the chest qualitative data are ensured to the greatest extent, and the reliability of underwear model recommendation is improved.
Based on any of the above embodiments, fig. 5, 6, 7 and 8 are schematic views of chest measurement data provided by the present invention, and the dashed lines in the figures represent the breast contours. Fig. 5 and 6 reflect left and right inside mammary radius vertical data, left and right inside mammary radius close data, left and right outside mammary radius vertical data, left and right outside mammary radius close data, left and right upper mammary radius vertical data, left and right upper mammary radius close data, left and right lower mammary radius vertical data, and left and right lower mammary radius close data, wherein a1 is the inside mammary radius vertical, a2 is the outside mammary radius vertical, a3 is the upper mammary radius vertical, a4 is the lower mammary radius vertical, b1 is the inside mammary radius close, b2 is the outside mammary radius close, b3 is the upper mammary radius close, and b4 is the lower mammary radius close. For example, the left and right inside radius vertical data may include a measurement of the inside radius vertical a1 of the left breast and a measurement of the inside radius vertical a1 of the right breast, the left and right inside radius close fit data may include a measurement of the inside radius close fit b1 of the left breast and a measurement of the inside radius close fit b1 of the right breast, and the difference between the vertical and close fit measurements may be seen in fig. 6. Fig. 7 reflects left and right breast height data, fig. 8 reflects double breast nipple spacing data, left and right breast lock heart distances and left and right breast shoulder distances, wherein the breast spacing d1 refers to the straight of lifting the head and straightening the breast, the distance between two breast points is measured, the breast lock heart distance d2 refers to the straight line distance from a clavicle groove to the breast point, the breast shoulder distance d3 refers to the vertical distance from the breast point to the shoulder, the breast height h refers to the breast height, and the tape is horizontally placed on the vertical body. The upper chest circumference data are measurement results of the breast point of the tape, wherein the body is inclined forwards by 45 degrees and the horizontal circumference is measured for one week; the lower chest circumference data are measurement results of the measurement result that the head is lifted, the chest is erected, the horizontal circumference is measured for one week, and the tape passes through the lower breast root point.
Based on any of the above embodiments, fig. 9 is a schematic structural diagram of an underwear customization device in a measurement fault tolerance scenario provided by the present invention, as shown in fig. 9, the device includes:
an input obtaining unit 510, configured to obtain measurement input of each chest measurement parameter of a current user;
an input error correction unit 520, configured to correct the measurement input of each chest measurement parameter based on the constraint relation between each chest qualitative parameter and each chest measurement parameter and the chest qualitative data of the current user, to obtain chest measurement data of the current user; the constraint relationship is determined based on sample chest qualitative data and sample chest measurement data of a sample user;
and a layout recommending unit 530, configured to recommend an underwear layout to the current user based on the chest measurement data of the current user.
According to the device provided by the embodiment of the invention, the constraint relation between each chest qualitative parameter and each chest measurement parameter is mined, and the measurement input obtained by measurement of the user is corrected, so that the reliability and the accuracy of chest measurement data for underwear model recommendation are ensured, the time cost of the user for purchasing underwear is reduced, and meanwhile, accurate and reliable underwear model recommendation service can be provided for the user, and the popularization of online underwear customization is facilitated.
Based on any of the above embodiments, the input error correction unit 520 is configured to:
the chest qualitative data and the measurement input of each chest measurement parameter are matched with the constraint relation between each chest qualitative parameter and each chest measurement parameter, and the matching failure times of each measurement input are determined;
determining correct input in each measurement input based on the number of matching failures of each measurement input;
based on the correct inputs, the chest measurement data is determined.
Based on any of the above embodiments, the input error correction unit 520 is configured to:
selecting the measurement input with the highest matching failure frequency as error input;
and deleting the error input, and updating the matching failure times of the associated measurement input of the error input until the matching failure times of all the remaining measurement inputs are 0.
Based on any of the above embodiments, the input error correction unit 520 is configured to:
determining each match of the erroneous input to the associated measurement input;
if any matching condition is successful, adding one to the matching failure times input by the association measurement;
and if any matching condition is the matching failure, subtracting one from the matching failure times input by the association measurement.
Based on any of the above embodiments, the input error correction unit 520 is configured to:
based on the chest qualitative parameter and each correct input, predicting corresponding data of chest measurement parameters input in error to obtain complement data;
based on each correct input and the complement data, the chest measurement data is determined.
Based on any of the above embodiments, the apparatus further comprises a constraint determining unit for:
based on sample chest qualitative data and sample chest measurement data of a sample user, carrying out association mining on each chest qualitative parameter and each chest measurement parameter to obtain association measurement parameters of each chest qualitative parameter and association measurement parameters of each chest measurement parameter;
selecting a first constraint data set of each chest qualitative parameter and the associated measurement parameter thereof and a second constraint data set of each chest measurement parameter and the associated measurement parameter thereof from sample chest qualitative data and sample chest measurement data of a sample user;
the constraint relationship is established based on the first constraint data set and the second constraint data set.
Based on any of the above embodiments, the apparatus further comprises a qualitative determination unit for:
Obtaining at least one of self-qualitative data, editorial qualitative data, and a chest image, the self-qualitative data being entered by the current user, the editorial qualitative data being entered by an editorial serving the current user;
based on at least one of the self-qualitative data, the plater qualitative data, and the chest image, chest qualitative data of the current user is determined.
Fig. 10 illustrates a physical structure diagram of an electronic device, as shown in fig. 10, which may include: processor 610, communication interface (Communications Interface) 620, memory 630, and communication bus 640, wherein processor 610, communication interface 620, and memory 630 communicate with each other via communication bus 640. The processor 610 may invoke logic instructions in the memory 630 to perform an undergarment customization method in a measurement fault tolerance scenario, the method comprising: acquiring measurement input of a current user aiming at each chest measurement parameter; correcting the measurement input of each chest measurement parameter based on the constraint relation between each chest qualitative parameter and each chest measurement parameter and the chest qualitative data of the current user to obtain the chest measurement data of the current user; the constraint relationship is determined based on sample chest qualitative data and sample chest measurement data of a sample user; based on the chest measurement data of the current user, recommending underwear patterns to the current user.
Further, the logic instructions in the memory 630 may be implemented in the form of software functional units and stored in a computer-readable storage medium when sold or used as a stand-alone product. Based on this understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
In another aspect, the present invention also provides a computer program product comprising a computer program stored on a non-transitory computer readable storage medium, the computer program comprising program instructions which, when executed by a computer, enable the computer to perform a method of customizing an undergarment in a measurement fault tolerance scenario provided by the methods described above, the method comprising: acquiring measurement input of a current user aiming at each chest measurement parameter; correcting the measurement input of each chest measurement parameter based on the constraint relation between each chest qualitative parameter and each chest measurement parameter and the chest qualitative data of the current user to obtain the chest measurement data of the current user; the constraint relationship is determined based on sample chest qualitative data and sample chest measurement data of a sample user; based on the chest measurement data of the current user, recommending underwear patterns to the current user.
In yet another aspect, the present invention also provides a non-transitory computer readable storage medium having stored thereon a computer program which, when executed by a processor, is implemented to perform the above-described method of customizing an undergarment in a measurement fault tolerance scenario provided by the above, the method comprising: acquiring measurement input of a current user aiming at each chest measurement parameter; correcting the measurement input of each chest measurement parameter based on the constraint relation between each chest qualitative parameter and each chest measurement parameter and the chest qualitative data of the current user to obtain the chest measurement data of the current user; the constraint relationship is determined based on sample chest qualitative data and sample chest measurement data of a sample user; based on the chest measurement data of the current user, recommending underwear patterns to the current user.
The apparatus embodiments described above are merely illustrative, wherein the elements illustrated as separate elements may or may not be physically separate, and the elements shown as elements may or may not be physical elements, may be located in one place, or may be distributed over a plurality of network elements. Some or all of the modules can be selected according to actual needs to achieve the purpose of the scheme of the embodiment. Those of ordinary skill in the art will understand and implement the present invention without undue burden.
From the above description of the embodiments, it will be apparent to those skilled in the art that the embodiments may be implemented by means of software plus necessary general hardware platforms, or of course may be implemented by means of hardware. Based on this understanding, the foregoing technical solution may be embodied essentially or in a part contributing to the prior art in the form of a software product, which may be stored in a computer readable storage medium, such as ROM/RAM, a magnetic disk, an optical disk, etc., including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method described in the respective embodiments or some parts of the embodiments.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and are not limiting; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims (6)
1. A method for customizing an undergarment in a measurement fault tolerant scenario, comprising:
acquiring measurement input of a current user aiming at each chest measurement parameter;
correcting the measurement input of each chest measurement parameter based on the constraint relation between each chest qualitative parameter and each chest measurement parameter and the chest qualitative data of the current user to obtain the chest measurement data of the current user; the constraint relationship is determined based on sample chest qualitative data and sample chest measurement data of a sample user;
recommending underwear patterns to the current user based on the chest measurement data of the current user;
the correcting the measurement input of each chest measurement parameter based on the constraint relation between each chest qualitative parameter and each chest measurement parameter and the chest qualitative data of the current user to obtain the chest measurement data of the current user comprises the following steps:
the chest qualitative data and the measurement input of each chest measurement parameter are matched with the constraint relation between each chest qualitative parameter and each chest measurement parameter, and the matching failure times of each measurement input are determined;
Determining correct input in each measurement input based on the number of matching failures of each measurement input;
determining the chest measurement data based on the correct inputs;
the determining the correct input in each measurement input based on the matching failure times of each measurement input comprises the following steps:
selecting the measurement input with the highest matching failure frequency as error input;
deleting the error input, and updating the matching failure times of the associated measurement input of the error input until the matching failure times of all the remaining measurement inputs are 0;
the updating the matching failure times of the association measurement input of the error input comprises the following steps:
determining each match of the erroneous input to the associated measurement input;
if any matching condition is successful, adding one to the matching failure times input by the association measurement;
if any matching condition is matching failure, subtracting one from the matching failure times input by the association measurement;
said determining said chest measurement data based on each correct input, comprising:
based on the chest qualitative parameter and each correct input, predicting corresponding data of chest measurement parameters input in error to obtain complement data;
Based on each correct input and the complement data, the chest measurement data is determined.
2. The method for customizing an undergarment in a measurement fault tolerant scenario of claim 1, wherein the constraint relationship determining method comprises:
based on sample chest qualitative data and sample chest measurement data of a sample user, carrying out association mining on each chest qualitative parameter and each chest measurement parameter to obtain association measurement parameters of each chest qualitative parameter and association measurement parameters of each chest measurement parameter;
selecting a first constraint data set of each chest qualitative parameter and the associated measurement parameter thereof and a second constraint data set of each chest measurement parameter and the associated measurement parameter thereof from sample chest qualitative data and sample chest measurement data of a sample user;
the constraint relationship is established based on the first constraint data set and the second constraint data set.
3. The method for customizing an undergarment in a measurement fault tolerant scenario of claim 1, wherein said correcting the measurement input of each chest measurement parameter based on the constraint relation between said chest qualitative parameter and each chest measurement parameter and said current user's chest qualitative data, further comprises:
Obtaining at least one of self-qualitative data, editorial qualitative data, and a chest image, the self-qualitative data being entered by the current user, the editorial qualitative data being entered by an editorial serving the current user;
based on at least one of the self-qualitative data, the plater qualitative data, and the chest image, chest qualitative data of the current user is determined.
4. An undergarment customizing apparatus based on the undergarment customizing method in the measurement fault tolerant scenario according to any one of claims 1 to 3, comprising:
an input acquisition unit for acquiring measurement input of the current user for each chest measurement parameter;
the input error correction unit is used for correcting the measurement input of each chest measurement parameter based on the constraint relation between each chest qualitative parameter and each chest measurement parameter and the chest qualitative data of the current user to obtain the chest measurement data of the current user; the constraint relationship is determined based on sample chest qualitative data and sample chest measurement data of a sample user;
and the layout recommending unit is used for recommending underwear layout to the current user based on the chest measurement data of the current user.
5. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor, when executing the program, implements the steps of the method for customizing an undergarment in a measured fault tolerance scenario according to any one of claims 1 to 3.
6. A non-transitory computer readable storage medium having stored thereon a computer program, which when executed by a processor, implements the steps of the method for customizing an undergarment in a measurement fault tolerant scenario according to any one of claims 1 to 3.
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| EP3594889A4 (en) * | 2017-03-08 | 2020-01-15 | Xiamen Brana Design Co., Ltd | Method for taking human chest measurement and method for selecting and providing bra size |
| CN111507775A (en) * | 2020-04-29 | 2020-08-07 | 广州奶糖派服装有限公司 | Chest size measuring and calculating method and system based on data measurement |
| CN111881491B (en) * | 2020-07-21 | 2024-01-02 | 岳昕 | Automatic generation method, system, device and medium for clothing layout |
| CN112395659A (en) * | 2020-11-20 | 2021-02-23 | 杭州贝嘟科技有限公司 | Garment size generation method, garment size generation device, electronic device and storage medium |
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