CN104809639A - Garment searching method and device - Google Patents
Garment searching method and device Download PDFInfo
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- CN104809639A CN104809639A CN201510262168.4A CN201510262168A CN104809639A CN 104809639 A CN104809639 A CN 104809639A CN 201510262168 A CN201510262168 A CN 201510262168A CN 104809639 A CN104809639 A CN 104809639A
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Abstract
The invention relates to the field of automation, discloses a garment searching method and a garment searching device and aims to solve the technical problem that garments cannot be accurately recommended for a user in the prior art. The method comprises the following steps: determining the physical characteristic of the user; screening at least one garment and the size information of each garment according to the physical characteristic of the user; determining a compression coefficient of each garment in the at least one garment, wherein the compression coefficient represents a resultant force value of a plurality of mass points on the corresponding garment after the user wears the corresponding garment; generating recommendation information for M garments in the at least one garment based on the compression coefficient of each garment in the at least one garment, wherein the recommendation information comprises the size information of the corresponding garment, and M is a positive integer. The technical effect that the garments can be accurately recommended is achieved.
Description
Technical field
The present invention relates to automatic field, particularly relate to a kind of clothes searching method and device.
Background technology
Nowadays, the Internet era that people entering, internet provides a large amount of information, user can be searched for keyword on the internet by search engine, obtains the information needed for user.
For clothes search, in prior art, user shopping website search can obtain a lot of clothes usually, then therefrom selects the clothes liked to select.But in prior art, general coded system usually can be adopted to classify to clothes, such as: S, M, L, XL, XXL, closing waist, loose etc.Then the clothes which kind of selecting encode by user are applicable to oneself.
But in prior art, its size of different types of clothes of corresponding same-code may not be identical, such as: different brands, be all No. XL, its size possible is not identical, so, in prior art, there is the technical matters accurately can not carrying out clothes recommendation to user.
Summary of the invention
The invention provides a kind of clothes searching method and device, to solve the technical matters accurately can not carrying out clothes recommendation in prior art to user.
First aspect, the embodiment of the present invention provides a kind of clothes searching method, comprising:
Determine the aspectual character of user;
The dimension information of at least one clothes and every part clothes is filtered out according to the aspectual character of described user;
Determine the compressing coefficient often overlapping clothes in described at least one clothes, described compressing coefficient characterizes after described user wears corresponding clothes, the value of making a concerted effort of multiple particle on corresponding clothes;
Based on the compressing coefficient of part clothes every in described at least one clothes, produce the recommendation information for the M part clothes in described at least one clothes, comprise the dimension information of corresponding clothes in described recommendation information, M is positive integer.
Optionally, the value of making a concerted effort of the multiple particle of described corresponding clothes obtains in the following manner:
Obtain the elastic force between every two particles on corresponding clothes, and then obtain N group elastic force, N is positive integer;
Described N group elastic force is got and makes a concerted effort, namely obtain described value of making a concerted effort.
Optionally, the elastic force between described every two particles is obtained by following formulae discovery:
F＝kd
Wherein, F represents the elastic force between described every two particles;
K represents the coefficient of dilatation of corresponding clothes;
D represents these two particles after corresponding clothes generation deformation relative to the motion vector before deformation.
Optionally, described coefficient of dilatation is obtained by following formulae discovery:
k＝F1/(L-L0)
Wherein, L represents size after the stretching in a first direction of corresponding clothes;
L0 represents size before the stretching in said first direction of corresponding clothes;
F1 represent corresponding clothes are stretched to described stretching by size before described stretching after size use force value.
Optionally, the described compressing coefficient based on part clothes every in described at least one clothes, produces the recommendation information for the M part clothes in described at least one clothes, specifically comprises:
Described at least one clothes are sorted from low to high according to described compressing coefficient;
The L part clothes being arranged in front L position from sequence determine that the clothes that described recommendation information comprises, L are positive integer.
Optionally, the L part clothes being arranged in front L position from sorting are determined and are specifically comprised the clothes that described recommendation information comprises:
From described L part clothes, determine that described compressing coefficient is negative L1 part clothes, L1 is the positive integer being less than or equal to L;
Judge that whether the style of every part clothes in described L1 part clothes is weight reducing style;
By the L2 part clothes outside described L1 part clothes, and not for the clothes of described weight reducing style are as the clothes comprised in described recommendation information in described L1 part clothes.
Optionally, the described aspectual character according to described user filters out at least one clothes, specifically comprises:
Determine the general characteristic of described user, described general characteristic comprises: height, shoulder breadth;
Search obtains the more than one piece clothes mated with described general characteristic;
Determine the transverse features of described user, described transverse features comprises: chest measurement, waistline, hip circumference;
Described at least one clothes are filtered out based on described transverse features.
Optionally, describedly filter out described at least one clothes based on described transverse features, specifically comprise:
The clothes mated with described transverse features are filtered out from described more than one piece clothes;
If comprise dress in described clothes, from described upper dress, filter out the clothes with the upper part of the body Data Matching of described user, described upper part of the body data comprise: colpus is apart from, high, breast vertical height, across back, brachium, the elbow length of breast, upper arm radius of circle, forearm radius of circle;
If comprise lower dress in described clothes, filter out the clothes with the lower part of the body Data Matching of described user from described lower dress, described lower part of the body data comprise: leg length, leg spacing, thigh length, leg length, thigh radius, shank radius.
Second aspect, the embodiment of the present invention provides a kind of clothes searcher, comprising:
First determination module, for determining the aspectual character of user;
Screening module, for filtering out the dimension information of at least one clothes and every part clothes according to the aspectual character of described user;
Second determination module, for determining the compressing coefficient often overlapping clothes in described at least one clothes, described compressing coefficient characterizes after described user wears corresponding clothes, the value of making a concerted effort of multiple particle on corresponding clothes;
Recommending module, for the compressing coefficient based on part clothes every in described at least one clothes, produce the recommendation information for the M part clothes in described at least one clothes, comprise the dimension information of corresponding clothes in described recommendation information, M is positive integer.
Optionally, described second determination module, specifically comprises:
Obtain unit, for obtaining the elastic force on corresponding clothes between every two particles, and then obtain N group elastic force, N is positive integer;
Unit with joint efforts, makes a concerted effort for getting described N group elastic force, namely obtains and is worth described making a concerted effort.
Optionally, described acquisition unit is for obtaining the elastic force between every two particles by following formulae discovery:
F＝kd
Wherein, F represents the elastic force between described every two particles;
K represents the coefficient of dilatation of corresponding clothes;
D represents these two particles after corresponding clothes generation deformation relative to the motion vector before deformation.
Optionally, described acquisition unit is used for by coefficient of dilatation k described in following formulae discovery:
k＝F1/(L-L0)
Wherein, L represents size after the stretching in a first direction of corresponding clothes;
L0 represents size before the stretching in said first direction of corresponding clothes;
F1 represent corresponding clothes are stretched to described stretching by size before described stretching after size use force value.
Optionally, described recommending module, specifically comprises:
Sequencing unit, for sorting described at least one clothes from low to high according to described compressing coefficient;
For the L part clothes being arranged in front L position from sequence, first determining unit, determines that the clothes that described recommendation information comprises, L are positive integer.
Optionally, described determining unit, specifically comprises:
Determine subelement, for determining that from described L part clothes described compressing coefficient is negative L1 part clothes, L1 is the positive integer being less than or equal to L;
Judgment sub-unit, for judging whether the style of every part clothes in described L1 part clothes is weight reducing style;
Recommend subelement, for by the L2 part clothes outside described L1 part clothes, and not for the clothes of described weight reducing style are as the clothes comprised in described recommendation information in described L1 part clothes.
Optionally, described screening module, specifically comprises:
Second determining unit, for determining the general characteristic of described user, described general characteristic comprises: height, shoulder breadth;
Search unit, for searching for the more than one piece clothes obtaining and mate with described general characteristic;
3rd determining unit, for determining the transverse features of described user, described transverse features comprises: chest measurement, waistline, hip circumference;
Screening unit, for filtering out described at least one clothes based on described transverse features.
Optionally, described screening unit, specifically comprises:
First screening subelement, for filtering out the clothes mated with described transverse features from described more than one piece clothes;
Second screening subelement, if for comprising upper dress in described clothes, from described upper dress, filter out the clothes with the upper part of the body Data Matching of described user, described upper part of the body data comprise: colpus is apart from, high, breast vertical height, across back, brachium, the elbow length of breast, upper arm radius of circle, forearm radius of circle;
Three screening subelement, if for comprising lower dress in described clothes, from described lower dress, filter out the clothes with the lower part of the body Data Matching of described user, described lower part of the body data comprise: leg length, leg spacing, thigh length, leg length, thigh radius, shank radius.
Beneficial effect of the present invention is as follows:
Due in embodiments of the present invention, first determine the aspectual character of user; Then the dimension information of at least one clothes and every part clothes is filtered out according to the aspectual character of described user; Then determine the compressing coefficient often overlapping clothes in described at least one clothes, described compressing coefficient characterizes after described user wears corresponding clothes, the value of making a concerted effort of multiple particle on corresponding clothes; Based on the compressing coefficient of part clothes every in described at least one clothes, produce the recommendation information for the M part clothes in described at least one clothes, comprise the dimension information of corresponding clothes in described recommendation information, M is positive integer.Namely, directly based on the aspectual character of user and the dimension information of clothes, recommend the dimension information of the clothes of its aspectual character applicable and corresponding clothes to user, thus reach the technique effect of the accurate recommendation that can realize clothes; In addition, due to when recommending clothes, also considering the compressing coefficient of clothes, thus the habilimented level of comfort of user can be ensured, also namely further improve the degree of accuracy of recommending clothes.
Accompanying drawing explanation
Fig. 1 is the process flow diagram of clothes searching method in the embodiment of the present invention;
Fig. 2 is the process flow diagram of the aspectual character obtaining user in the embodiment of the present invention in clothes searching method;
Fig. 3 a and Fig. 3 b measures the fixed part of body clothing and the schematic diagram of non-fixed portions in embodiment of the present invention clothes searching method;
Fig. 3 c and Fig. 3 d is shoulder breadth line, BL BUST LINE, waistline, hipline, the end contour schematic diagram of measuring body clothing in embodiment of the present invention clothes searching method;
Fig. 4 is the process flow diagram filtering out at least one clothes in embodiment of the present invention clothes searching method according to the aspectual character of described user;
Fig. 5 is the process flow diagram of the recommendation information produced in embodiment of the present invention clothes searching method for the M part clothes in described at least one clothes;
Fig. 6 is the structural drawing of clothes searcher in the embodiment of the present invention.
Embodiment
The invention provides a kind of clothes searching method and device, to solve the technical matters accurately can not carrying out clothes recommendation in prior art to user.
Technical scheme in the embodiment of the present application is solve above-mentioned technical matters, and general thought is as follows:
First the aspectual character of user is determined; Then the dimension information of at least one clothes and every part clothes is filtered out according to the aspectual character of described user; Then determine the compressing coefficient often overlapping clothes in described at least one clothes, described compressing coefficient characterizes after described user wears corresponding clothes, the value of making a concerted effort of multiple particle on corresponding clothes; Based on the compressing coefficient of part clothes every in described at least one clothes, produce the recommendation information for the M part clothes in described at least one clothes, comprise the dimension information of corresponding clothes in described recommendation information, M is positive integer.Namely, directly based on the aspectual character of user and the dimension information of clothes, recommend the dimension information of the clothes of its aspectual character applicable and corresponding clothes to user, thus reach the technique effect of the accurate recommendation that can realize clothes; In addition, due to when recommending clothes, also considering the compressing coefficient of clothes, thus the habilimented level of comfort of user can be ensured, also namely further improve the degree of accuracy of recommending clothes.
In order to better understand technique scheme, below by accompanying drawing and specific embodiment, technical solution of the present invention is described in detail, the specific features being to be understood that in the embodiment of the present invention and embodiment is the detailed description to technical solution of the present invention, instead of the restriction to technical solution of the present invention, when not conflicting, the technical characteristic in the embodiment of the present invention and embodiment can combine mutually.
First aspect, the embodiment of the present invention provides a kind of clothes searching method, please refer to Fig. 1, comprising:
Step S101: the aspectual character determining user;
Step S102: the dimension information filtering out at least one clothes and every part clothes according to the aspectual character of described user;
Step S103: determine the compressing coefficient often overlapping clothes in described at least one clothes, described compressing coefficient characterizes after described user wears corresponding clothes, the value of making a concerted effort of multiple particle on corresponding clothes;
Step S104: based on the compressing coefficient of part clothes every in described at least one clothes, produce the recommendation information for the M part clothes in described at least one clothes, comprise the dimension information of corresponding clothes in described recommendation information, M is positive integer.
In step S101, the aspectual character of user can be divided into multiple aspectual character, and four kinds of enumerating below are wherein introduced, and certainly, in specific implementation process, is not limited to following four kinds of situations.
The first, the aspectual character of user comprises: the general characteristic of user, and general characteristic comprises: height, shoulder breadth;
The second, the aspectual character of user comprises: the transverse features of user, and described transverse features comprises: chest measurement, waistline, hip circumference;
The third, the aspectual character of user comprises: feature above the waist, and described upper part of the body data comprise: colpus is high apart from, breast, breast vertical height, across back, brachium, elbow length, upper arm radius of circle, forearm radius of circle; .
4th kind, the aspectual character of user comprises: the lower part of the body feature of user, and described lower part of the body data comprise: leg length, leg spacing, thigh length, leg length, thigh radius, shank radius.
In specific implementation process, can obtain the aspectual character of user in several ways, two kinds of enumerating below are wherein introduced, and certainly, in specific implementation process, are not limited to following two kinds of situations.
The first, be uploaded to system after being measured by user oneself.
The second, the aspectual character of described acquisition user, please refer to Fig. 2, comprising:
Step S201: obtain and take obtained amount volume image to after user's amount of dress body clothing, described amount body clothing comprises fixed part and non-fixed portions, wherein when described user wears described amount body clothing, there is not deformation in described fixed part, described non-fixed portions generation deformation;
Step S202: based on size after the deformation after described amount volume image determined amounts body clothing generation deformation;
Step S203: determine the body characteristics of described user based on size after size before the deformation of described amount body clothing and described deformation.
In step S201, described amount volume image comprises: at least one image in front view, rear view and side view.
As shown in Figure 3 a and Figure 3 b shows, it is the structural drawing of an amount body clothing, it comprises horizontal marking line and longitudinal marking line, wherein horizontal marking line is fixed part 30, other parts outside fixed part 30 are then non-fixed portions 31, can there is elastic deformation in non-fixed portions 31, longitudinal marking line is then mark in non-fixed portions 31, for observing the deformation degree of described non-fixed portions 31.
In specific implementation process, fixed part comprises various structures, shown in Fig. 3 c and Fig. 3 d, then can comprise at least one marking line in shoulder breadth line 30a, BL BUST LINE 30b, waistline 30c, hipline 30d, end contour 30e.
In step S203, under normal circumstances, certain ratio can be there is between non-fixed portions 31 and fixed part 30, for chest measurement, suppose that BL BUST LINE 30b part is not when deformation occurs (also size before deformation), fixed part 30 total length is A, and non-fixed portions 31 total length is B, then the length ratio of fixed part 30 and non-fixed portions 31 is: Ln=A/B, and fixed part 30 is LEN=A+B with the length sum of non-fixed portions 31.
And to measure fixed part 30 total length in body photo be A1, non-fixed portions 31 total length is B1, because the size of fixed part 30 before deformation and after deformation should be identical, so the ratio a=A1/A of amount volume image and physical size, although and non-fixed portions 31 can produce deformation, but human body can not deformation, so the physical length B2 of non-fixed portions 31 can calculate according to B1 and ratio a: B2=B1/a=B1*A/A1, finally the physical length of the physical length of non-fixed portions after deformation 31 and fixed part 30 is summed up, just can obtain the chest measurement of user: B1*A/A1+A, similar to chest measurement for its account form of other sizes, so do not repeat them here.
In step S102, can determine the garment data of its correspondence in advance for every part clothes, wherein generating garment data can comprise the following steps:
According to clothing plate making file, generate clothes three-dimensional data model.
B) by three-dimensional measurement means, obtaining the shoulder breadth of clothes, chest measurement, waistline, length and some other data needing to use when searching for, is also the data of the aspectual character before correspondence.
C) data obtain the coefficient of dilatation of the cloth of current clothes by experiment, first determine that full-size L that clothes can stretch on different directions (such as: laterally, longitudinally) (wherein, initial length L0), and be stretched to the size F1 of the power needed for this size, then the coefficient of dilatation of corresponding clothes can be obtained by following formulae discovery:
k＝F1/(L-L0) ………………………[1]
D) the typing corresponding clothes human body style of mating, such as: surplus, shortage of money, weight reducing, loose etc.
After completing above-mentioned preliminary work, can filter out at least one clothes in several ways equally in step S102, two kinds of enumerating below are wherein introduced, and certainly, in specific implementation process, are not limited to following two kinds of situations.
The first, the described aspectual character according to described user filters out at least one clothes, please refer to Fig. 4, specifically comprises:
Step S401: the general characteristic determining described user, described general characteristic comprises: height, shoulder breadth;
Step S402: search obtains the more than one piece clothes mated with described general characteristic;
Step S403: the transverse features determining described user, described transverse features comprises: chest measurement, waistline, hip circumference;
Step S404: filter out described at least one clothes based on described transverse features.
In step S401, suppose that the height of obtained user is 155cm, shoulder breadth is 37cm, the general characteristic of certain user can be also other values, no longer itemizes, and be not restricted this embodiment of the present invention.
In step S402, can search for applicable height be not less than 155cm and be positioned at preset range (such as: 155cm ~ 160cm) and shoulder breadth be not less than 37cm and the clothes being positioned at preset range (such as: 37cm ~ 40cm) as Search Results.
In step S403, chest measurement is such as: 88cm, waistline are such as: 64cm, hip circumference are such as: 90cm, and certainly, the transverse features of user can also be other values, is not itemizing, and be not restricted this embodiment of the present invention.
In step S404, from the Search Results of step S402, continue through chest measurement, waistline, hip circumference search for, just can be obtained up to few clothes.Wherein, can search in several ways and obtain at least one clothes, two kinds of enumerating below are wherein introduced, and certainly, in specific implementation process, are not limited to following two kinds of situations.
1. filter out described at least one clothes based on described transverse features described in, specifically comprise:
The clothes mated with described transverse features are filtered out from described more than one piece clothes;
If comprise dress in described clothes, from described upper dress, filter out the clothes with the upper part of the body Data Matching of described user, described upper part of the body data comprise: colpus is apart from, high, breast vertical height, across back, brachium, the elbow length of breast, upper arm radius of circle, forearm radius of circle;
If comprise lower dress in described clothes, filter out the clothes with the lower part of the body Data Matching of described user from described lower dress, described lower part of the body data comprise: leg length, leg spacing, thigh length, leg length, thigh radius, shank radius.
Specifically, namely first screened in more than one piece clothes by transverse features, after acquisition the selection result, by upper part of the body data to the upper threading row filter in clothes, by lower part of the body data, ancient name for China row filter is put into clothes, thus reach the screening technique effect more accurately to clothes.
2. directly at least one clothes are obtained by chest measurement, waistline, hip circumference screening.
Namely when screening clothes, directly screened from more than one piece clothes by transverse features, and then obtain at least one clothes.
In step S103, the value of making a concerted effort of the multiple particle of described corresponding clothes obtains in the following manner: obtain the elastic force between every two particles on corresponding clothes, and then obtains N group elastic force, and N is positive integer; Described N group elastic force is got and makes a concerted effort, namely obtain described value of making a concerted effort.
Wherein, the elastic force between described every two particles is obtained by following formulae discovery:
F＝kd ………………………[2]
Wherein, F represents the elastic force between described every two particles;
K represents the coefficient of dilatation of corresponding clothes;
D represents these two particles after corresponding clothes generation deformation relative to the motion vector before deformation.
For example, when carrying out modeling for any clothes, clothes can be decomposed into multiple particle, then obtain the elastic force between every two particles, finally all elastic force be got and just can obtain compressing coefficient with joint efforts.
In step S104, can determine recommendation information in several ways, two kinds of enumerating below are wherein introduced, and certainly, in specific implementation process, are not limited to following two kinds of situations.
The first, the described compressing coefficient based on part clothes every in described at least one clothes, produces the recommendation information for the M part clothes in described at least one clothes, please refer to Fig. 5, specifically comprise:
Step S501: described at least one clothes are sorted from low to high according to described compressing coefficient;
Step S502: the L part clothes being arranged in front L position from sequence determine that the clothes that described recommendation information comprises, L are positive integer.
In step S501, compressing coefficient often characterizing consumer wears the comfort level of corresponding clothes, wherein, compressing coefficient is lower, then show that level of comfort is higher, so at least one clothes can be sorted from low to high according to compressing coefficient, and then determine the level of comfort of every part clothes.
In step S502, directly sequence can be arranged in the L part clothes of front L position all as the clothes that recommendation information comprises, and in order to improve the aesthetics of the clothes selected to user, in step S502, the L part clothes being arranged in front L position from sorting are determined and are specifically comprised the clothes that described recommendation information comprises:
From described L part clothes, determine that described compressing coefficient is negative L1 part clothes, L1 is the positive integer being less than or equal to L;
Judge that whether the style of every part clothes in described L1 part clothes is weight reducing style;
By the L2 part clothes outside described L1 part clothes, and not for the clothes of described weight reducing style are as the clothes comprised in described recommendation information in described L1 part clothes.
Wherein, if compressing coefficient is negative, then show that user is comparatively loose when wearing corresponding clothes, but the clothes of some clothes (such as: weight reducing style) are also not suitable for loose dress, so other clothes outside style of reducing weight in L1 part clothes can be recommended user as the clothes in recommendation information; L2 part clothes outside L1 part clothes then its compressing coefficient are not negative, and namely user's dress is comparatively fit, so it is also recommended user as the clothes in recommendation information.
The second, judges whether the compressing coefficient of every part clothes is greater than predetermined threshold value; If the compressing coefficient of corresponding clothes is greater than predetermined threshold value, then not using as the clothes in recommendation information; If the compressing coefficient of corresponding clothes is not more than predetermined threshold value, then it can be used as the clothes in recommendation information.
Wherein, can ask according to actual needs and different predetermined threshold value is set, such as: 3,5 etc., if compressing coefficient is greater than predetermined threshold value, then illustrate that corresponding clothes user dress is not too comfortable, so do not recommended user; If compressing is not more than predetermined threshold value, then illustrate that corresponding clothes user dress is comparatively comfortable, so recommended user.
Second aspect, based on same inventive concept, the embodiment of the present invention provides a kind of clothes searcher, please refer to Fig. 6, comprising:
First determination module 60, for determining the aspectual character of user;
Screening module 61, for filtering out the dimension information of at least one clothes and every part clothes according to the aspectual character of described user;
Second determination module 62, for determining the compressing coefficient often overlapping clothes in described at least one clothes, described compressing coefficient characterizes after described user wears corresponding clothes, the value of making a concerted effort of multiple particle on corresponding clothes;
Recommending module 63, for the compressing coefficient based on part clothes every in described at least one clothes, produce the recommendation information for the M part clothes in described at least one clothes, comprise the dimension information of corresponding clothes in described recommendation information, M is positive integer.
Optionally, described second determination module 63, specifically comprises:
Obtain unit, for obtaining the elastic force on corresponding clothes between every two particles, and then obtain N group elastic force, N is positive integer;
Unit with joint efforts, makes a concerted effort for getting described N group elastic force, namely obtains and is worth described making a concerted effort.
Optionally, described acquisition unit is for obtaining the elastic force between every two particles by following formulae discovery:
F＝kd ………………………[1]
Wherein, F represents the elastic force between described every two particles;
K represents the coefficient of dilatation of corresponding clothes;
D represents these two particles after corresponding clothes generation deformation relative to the motion vector before deformation.
Optionally, described acquisition unit is used for by coefficient of dilatation k described in following formulae discovery:
k＝F1/(L-L0) ………………………[2]
Wherein, L represents size after the stretching in a first direction of corresponding clothes;
L0 represents size before the stretching in said first direction of corresponding clothes;
F1 represent corresponding clothes are stretched to described stretching by size before described stretching after size use force value.
Optionally, described recommending module 63, specifically comprises:
Sequencing unit, for sorting described at least one clothes from low to high according to described compressing coefficient;
For the L part clothes being arranged in front L position from sequence, first determining unit, determines that the clothes that described recommendation information comprises, L are positive integer.
Optionally, described determining unit, specifically comprises:
Determine subelement, for determining that from described L part clothes described compressing coefficient is negative L1 part clothes, L1 is the positive integer being less than or equal to L;
Judgment sub-unit, for judging whether the style of every part clothes in described L1 part clothes is weight reducing style;
Recommend subelement, for by the L2 part clothes outside described L1 part clothes, and not for the clothes of described weight reducing style are as the clothes comprised in described recommendation information in described L1 part clothes.
Optionally, described screening module 61, specifically comprises:
Second determining unit, for determining the general characteristic of described user, described general characteristic comprises: height, shoulder breadth;
Search unit, for searching for the more than one piece clothes obtaining and mate with described general characteristic;
3rd determining unit, for determining the transverse features of described user, described transverse features comprises: chest measurement, waistline, hip circumference;
Screening unit, for filtering out described at least one clothes based on described transverse features.
Optionally, described screening unit, specifically comprises:
First screening subelement, for filtering out the clothes mated with described transverse features from described more than one piece clothes;
Second screening subelement, if for comprising upper dress in described clothes, from described upper dress, filter out the clothes with the upper part of the body Data Matching of described user, described upper part of the body data comprise: colpus is apart from, high, breast vertical height, across back, brachium, the elbow length of breast, upper arm radius of circle, forearm radius of circle;
Three screening subelement, if for comprising lower dress in described clothes, from described lower dress, filter out the clothes with the lower part of the body Data Matching of described user, described lower part of the body data comprise: leg length, leg spacing, thigh length, leg length, thigh radius, shank radius.
The one or more embodiment of the present invention, at least has following beneficial effect:
Due in embodiments of the present invention, first determine the aspectual character of user; Then the dimension information of at least one clothes and every part clothes is filtered out according to the aspectual character of described user; Then determine the compressing coefficient often overlapping clothes in described at least one clothes, described compressing coefficient characterizes after described user wears corresponding clothes, the value of making a concerted effort of multiple particle on corresponding clothes; Based on the compressing coefficient of part clothes every in described at least one clothes, produce the recommendation information for the M part clothes in described at least one clothes, comprise the dimension information of corresponding clothes in described recommendation information, M is positive integer.Namely, directly based on the aspectual character of user and the dimension information of clothes, recommend the dimension information of the clothes of its aspectual character applicable and corresponding clothes to user, thus reach the technique effect of the accurate recommendation that can realize clothes; In addition, due to when recommending clothes, also considering the compressing coefficient of clothes, thus the habilimented level of comfort of user can be ensured, also namely further improve the degree of accuracy of recommending clothes.
Those skilled in the art should understand, embodiments of the invention can be provided as method, system or computer program.Therefore, the present invention can adopt the form of complete hardware embodiment, completely software implementation or the embodiment in conjunction with software and hardware aspect.And the present invention can adopt in one or more form wherein including the upper computer program implemented of computer-usable storage medium (including but not limited to magnetic disk memory, CD-ROM, optical memory etc.) of computer usable program code.
The present invention describes with reference to according to the process flow diagram of the method for the embodiment of the present invention, equipment (system) and computer program and/or block scheme.Should understand can by the combination of the flow process in each flow process in computer program instructions realization flow figure and/or block scheme and/or square frame and process flow diagram and/or block scheme and/or square frame.These computer program instructions can being provided to the processor of multi-purpose computer, special purpose computer, Embedded Processor or other programmable data processing device to produce a machine, making the instruction performed by the processor of computing machine or other programmable data processing device produce device for realizing the function of specifying in process flow diagram flow process or multiple flow process and/or block scheme square frame or multiple square frame.
These computer program instructions also can be stored in can in the computer-readable memory that works in a specific way of vectoring computer or other programmable data processing device, the instruction making to be stored in this computer-readable memory produces the manufacture comprising command device, and this command device realizes the function of specifying in process flow diagram flow process or multiple flow process and/or block scheme square frame or multiple square frame.
These computer program instructions also can be loaded in computing machine or other programmable data processing device, make on computing machine or other programmable devices, to perform sequence of operations step to produce computer implemented process, thus the instruction performed on computing machine or other programmable devices is provided for the step realizing the function of specifying in process flow diagram flow process or multiple flow process and/or block scheme square frame or multiple square frame.
Although describe the preferred embodiments of the present invention, those skilled in the art once obtain the basic creative concept of cicada, then can make other change and amendment to these embodiments.So claims are intended to be interpreted as comprising preferred embodiment and falling into all changes and the amendment of the scope of the invention.
Obviously, those skilled in the art can carry out various change and modification to the embodiment of the present invention and not depart from the spirit and scope of the embodiment of the present invention.Like this, if these amendments of the embodiment of the present invention and modification belong within the scope of the claims in the present invention and equivalent technologies thereof, then the present invention is also intended to comprise these change and modification.
Claims (10)
1. a clothes searching method, is characterized in that, comprising:
Determine the aspectual character of user;
The dimension information of at least one clothes and every part clothes is filtered out according to the aspectual character of described user;
Determine the compressing coefficient often overlapping clothes in described at least one clothes, described compressing coefficient characterizes after described user wears corresponding clothes, the value of making a concerted effort of multiple particle on corresponding clothes;
Based on the compressing coefficient of part clothes every in described at least one clothes, produce the recommendation information for the M part clothes in described at least one clothes, comprise the dimension information of corresponding clothes in described recommendation information, M is positive integer.
2. the method for claim 1, is characterized in that, the value of making a concerted effort of the multiple particle of described corresponding clothes obtains in the following manner:
Obtain the elastic force between every two particles on corresponding clothes, and then obtain N group elastic force, N is positive integer;
Described N group elastic force is got and makes a concerted effort, namely obtain described value of making a concerted effort.
3. method as claimed in claim 2, it is characterized in that, the elastic force between described every two particles is obtained by following formulae discovery:
F＝kd
Wherein, F represents the elastic force between described every two particles;
K represents the coefficient of dilatation of corresponding clothes;
D represents these two particles after corresponding clothes generation deformation relative to the motion vector before deformation.
4. method as claimed in claim 3, it is characterized in that, described coefficient of dilatation is obtained by following formulae discovery:
k＝F1/(L-L0)
Wherein, L represents size after the stretching in a first direction of corresponding clothes;
L0 represents size before the stretching in said first direction of corresponding clothes;
F1 represent corresponding clothes are stretched to described stretching by size before described stretching after size use force value.
5. the method as described in as arbitrary in claim 1-4, it is characterized in that, the described compressing coefficient based on part clothes every in described at least one clothes, produces the recommendation information for the M part clothes in described at least one clothes, specifically comprises:
Described at least one clothes are sorted from low to high according to described compressing coefficient;
The L part clothes being arranged in front L position from sequence determine that the clothes that described recommendation information comprises, L are positive integer.
6. method as claimed in claim 5, is characterized in that, the L part clothes being arranged in front L position from sorting are determined and specifically comprised the clothes that described recommendation information comprises:
From described L part clothes, determine that described compressing coefficient is negative L1 part clothes, L1 is the positive integer being less than or equal to L;
Judge that whether the style of every part clothes in described L1 part clothes is weight reducing style;
By the L2 part clothes outside described L1 part clothes, and not for the clothes of described weight reducing style are as the clothes comprised in described recommendation information in described L1 part clothes.
7. the method as described in as arbitrary in claim 1-4, it is characterized in that, the described aspectual character according to described user filters out at least one clothes, specifically comprises:
Determine the general characteristic of described user, described general characteristic comprises: height, shoulder breadth;
Search obtains the more than one piece clothes mated with described general characteristic;
Determine the transverse features of described user, described transverse features comprises: chest measurement, waistline, hip circumference;
Described at least one clothes are filtered out based on described transverse features.
8. method as claimed in claim 7, is characterized in that, describedly filters out described at least one clothes based on described transverse features, specifically comprises:
The clothes mated with described transverse features are filtered out from described more than one piece clothes;
If comprise dress in described clothes, from described upper dress, filter out the clothes with the upper part of the body Data Matching of described user, described upper part of the body data comprise: colpus is apart from, high, breast vertical height, across back, brachium, the elbow length of breast, upper arm radius of circle, forearm radius of circle;
If comprise lower dress in described clothes, filter out the clothes with the lower part of the body Data Matching of described user from described lower dress, described lower part of the body data comprise: leg length, leg spacing, thigh length, leg length, thigh radius, shank radius.
9. a clothes searcher, is characterized in that, comprising:
First determination module, for determining the aspectual character of user;
Screening module, for filtering out the dimension information of at least one clothes and every part clothes according to the aspectual character of described user;
Second determination module, for determining the compressing coefficient often overlapping clothes in described at least one clothes, described compressing coefficient characterizes after described user wears corresponding clothes, the value of making a concerted effort of multiple particle on corresponding clothes;
Recommending module, for the compressing coefficient based on part clothes every in described at least one clothes, produce the recommendation information for the M part clothes in described at least one clothes, comprise the dimension information of corresponding clothes in described recommendation information, M is positive integer.
10. device as claimed in claim 9, it is characterized in that, described second determination module, specifically comprises:
Obtain unit, for obtaining the elastic force on corresponding clothes between every two particles, and then obtain N group elastic force, N is positive integer;
Unit with joint efforts, makes a concerted effort for getting described N group elastic force, namely obtains and is worth described making a concerted effort.
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