CN102726864B - Garment data generation method and system based on garment customization - Google Patents
Garment data generation method and system based on garment customization Download PDFInfo
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- CN102726864B CN102726864B CN201110093952.9A CN201110093952A CN102726864B CN 102726864 B CN102726864 B CN 102726864B CN 201110093952 A CN201110093952 A CN 201110093952A CN 102726864 B CN102726864 B CN 102726864B
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Abstract
The invention discloses a garment data generation method and system based on garment customization. The garment data generation method based on garment customization comprises the following steps of: calculating the sample extreme of each array of data among original data arrays, wherein each array of data among the original data arrays refers to the size data of each part of a human body; when the absolute value of the sample extreme is not greater than a data standard value domain, calculating the average value of each array of data among the original data arrays and taking the average value as available data; assigning the available data to a style data array according to the size data requirement of the type of the garment, and increasing the ease of the data in the style data array according to the style requirement of the garment, thereby obtaining garment data. The size data of each part of a plurality of human bodies are acquired in advance and all of the size data form the original data arrays; the garment data generation method based on garment customization disclosed by the invention is capable of automatically generating the garment data from the acquired original data, thus being simple and convenient in operation.
Description
Technical field
The present invention relates to technical field of data processing, more particularly, relate to a kind of clothing data creation method and system based on ready-made clothes customization.
Background technology
China has become world textile product garment production, consumption and big export country.Especially enter after 21 century, clothing industry's internationalization trend strengthens, and garment enterprise has substantially been realized from the production-management model and having been changed to creating manageability.And people's dressing idea changes gradually, it more focuses on a sexual demand, and therefore, the ready-made clothes production pattern of customization processing is just arisen spontaneously.
In prior art, ready-made clothes production rests under the custom operator scheme of craft and experience for a long time, after dependence experience image data, obtains clothing data, makes the production cycle long, and accuracy is little, and brings many inconveniences to strange land transfer of data.
Therefore, be now badly in need of a kind of clothing data creation method based on ready-made clothes customization, can automatically generate clothing data.
Summary of the invention
In view of this, the invention provides a kind of clothing data creation method and system based on ready-made clothes customization, to realize the object of automatic generation clothing data.
For achieving the above object, the existing scheme proposing is as follows:
A clothing data creation method based on ready-made clothes customization, comprising:
Calculate the sample extreme of respectively organizing data in original data set, in described original data set, respectively organize the sized data that data are each position of human body;
When the absolute value of described sample extreme is not more than data standard codomain, calculate the mean value of respectively organizing data in original data set, and using it as data available;
According to the sized data demand of ready-made clothes kind, described data available is divided into style data group, and requires data in described style data group to increase quantity of margin according to the style of this ready-made clothes, obtain clothing data.
Preferably, when described data available is divided into after style data group, also comprise:
The sized data of comparison data available and national standard of size;
When the difference of the sized data of described data available and national standard of size meets national standard of size dimensional discrepancy and requires, determine that this data available is conventional data, be divided into the common group in style data group; Otherwise, determine that data available is special body size data, be divided into the special body size group in style data group.
Preferably, in the original data set of each human body position, comprise 2 or 3 sized datas.
Preferably, the size of described each position of human body comprises that neck circumference, arm rhizosphere, chest measurement, waistline, hip circumference, shoulder across, across back, brachium, waist are high, waist is high and interior hip is high to stern.
Preferably, described ready-made clothes kind comprises shirt, cotton clothes, western-style clothes, Western-style trousers, wind coat, nightwear and skirt.
A clothing data generation system based on ready-made clothes customization, comprising:
Sample extreme generation unit, respectively organizes the sample extreme of data for calculating original data set, in described original data set, respectively organize the sized data that data are each position of human body;
Data available generation unit, while being not more than data standard codomain for the absolute value when described sample extreme, calculates the mean value of respectively organizing data in original data set, and using it as data available;
Clothing data generating unit, for according to the sized data demand of ready-made clothes kind, described data available being divided into style data group, and requires data in described style data group to increase quantity of margin according to the style of this ready-made clothes, obtains clothing data.
Preferably, also comprise: general, special body size data generating unit, for comparing the sized data of data available and national standard of size; When described data available meets national standard of size dimensional discrepancy requirement, determine that this data available is conventional data, be divided into the common group in style data group; Otherwise, determine that data available is special body size data, be divided into the special body size group in style data group.
From above-mentioned technical scheme, can find out, in clothing data creation method based on ready-made clothes customization disclosed by the invention, collect in advance the sized data of a plurality of each positions of human body, consisting of original data set, calculate the sample extreme of respectively organizing data, compare this sample extreme and data standard codomain, when the absolute value of described sample extreme is not more than data standard codomain, show that the data of collection can be used in advance, calculate the mean value of respectively organizing data in original data set, and using it as data available; Sized data due to the different human body position of variety classes ready-made clothes demand, after obtaining data available, according to the sized data demand of ready-made clothes kind, described data available is divided into style data group again, and require data in described style data group to increase quantity of margin according to the style of this ready-made clothes, just can obtain clothing data.
Accompanying drawing explanation
In order to be illustrated more clearly in the embodiment of the present invention or technical scheme of the prior art, to the accompanying drawing of required use in embodiment or description of the Prior Art be briefly described below, apparently, accompanying drawing in the following describes is only some embodiments of the present invention, for those of ordinary skills, do not paying under the prerequisite of creative work, can also obtain according to these accompanying drawings other accompanying drawing.
Fig. 1 is the flow chart of the disclosed a kind of clothing data creation method based on ready-made clothes customization of the embodiment of the present invention;
Fig. 2 is the flow chart of the disclosed a kind of clothing data creation method based on ready-made clothes customization of another embodiment of the present invention;
Fig. 3 is the disclosed a kind of clothing data generation system structural representation based on ready-made clothes customization of another embodiment of the present invention;
Fig. 4 is the disclosed a kind of clothing data generation system structural representation based on ready-made clothes customization of another embodiment of the present invention.
The specific embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is clearly and completely described, obviously, described embodiment is only the present invention's part embodiment, rather than whole embodiment.Embodiment based in the present invention, those of ordinary skills, not making the every other embodiment obtaining under creative work prerequisite, belong to the scope of protection of the invention.
The embodiment of the invention discloses a kind of clothing data creation method and system based on ready-made clothes customization, to realize the object of automatic generation clothing data.
As shown in Figure 1, the disclosed clothing data creation method based on ready-made clothes customization of the present embodiment, comprising:
In step S11, calculating original data set
each groupthe sample extreme of data, wherein, respectively organizes the sized data that data are each position of human body in described original data set;
Concrete, described sample extreme refers to one group of minimum in data and the difference of maximum data.
While making different types of ready-made clothes, the sized data of the different positions of human body of demand, generally, the size of above-mentioned each human body of human body comprises: neck circumference, arm rhizosphere, chest measurement, waistline, hip circumference, shoulder across, across back, brachium, waist are high, waist is high and interior hip is high to stern.
And, according to the disclosed clothing data creation method of the present embodiment, obtain before clothing data, need to obtain in advance the sized data of each position of human body, form original data set, certainly, for accuracy, need to obtain the repeatedly sized data of each position of human body, be generally 2 or 3 times, the neck circumference group being comprised of a plurality of data, arm rhizosphere group, chest measurement group, waistline group, hip circumference group, shoulder across group, across back group, brachium group, high group of waist, waist to high group of high group of stern and interior hip formed original data set.
The sized data of above-mentioned each position of human body obtaining in advance can pass through the mode of the tested human body of manual measurement, also can adopt the mode of the tested human body of apparatus measures.
Step S12, judge whether the absolute value of described sample extreme is not more than data standard codomain, when the absolute value of sample extreme is not more than data standard codomain, in execution step S13, calculating original data set, respectively organize the mean value of data, and using it as data available;
The disclosed data standard codomain of above-described embodiment is as shown in the table.
Data standard codomain list position: cm
Step S14, according to the sized data demand of ready-made clothes kind, described data available is divided into style data group, and requires data in described style data group to increase quantity of margin according to the style of this ready-made clothes, obtain clothing data.
Described style data group is set up according to the kind of different ready-made clothes in advance, and concrete, the kind of ready-made clothes comprises shirt, cotton clothes, western-style clothes, Western-style trousers, wind coat, nightwear and skirt etc., and different ready-made clothes needs different human body position sizes.
For example: the style data group of western-style clothes comprises: collar, shoulder breadth, chest measurement, back of the body length, brachium, half hip circumference and abdominal circumference; The style data group of shirt comprises: collar, shoulder breadth, chest measurement, back of the body length and brachium.
And the quantity of margin of making different types of ready-made clothes needs is also different, quantity of margin can be determined according to clothing experience.For example: western-style clothes clothing data: clothing collar=collar+C1x, clothing shoulder breadth=shoulder breadth+C2x, clothing chest measurement=chest measurement+C3x; Wherein: the quantity of margin C1x of collar is 0-1cm; The quantity of margin C2x of shoulder breadth is 0-1cm; The quantity of margin C3x of chest measurement is 10-12cm.The clothing data of shirt: clothing collar=neck circumference+C1c, clothing shoulder breadth=shoulder breadth+C2c, clothing chest measurement=human body chest measurement+C3c; Wherein: the quantity of margin C1c of collar is 2cm; The quantity of margin C2c of shoulder breadth is 2-3cm; The quantity of margin C3c of chest measurement is 18-20cm.
Another embodiment of the present invention also discloses a kind of clothing data creation method based on ready-made clothes customization, as shown in Figure 2, comprising:
Step S21, calculate the sample extreme of respectively organizing data in original data set, wherein: in described original data set, respectively organize the sized data that data are each position of human body;
Step S22, judge whether the absolute value of described sample extreme is not more than data standard codomain, when the absolute value of sample extreme is not more than data standard codomain, in execution step S23, calculating original data set, respectively organize the mean value of data, and using it as data available;
Step S24, according to the sized data demand of ready-made clothes kind, described data available is divided into style data group;
The sized data of step S25, comparison data available and national standard of size, whether the difference that judges the sized data of described data available and national standard of size meets the requirement of national standard of size dimensional discrepancy, when the difference of the sized data of described data available and national standard of size meets national standard of size dimensional discrepancy and requires, perform step S26, determine that this data available is conventional data, be divided into the common group in style data group; Otherwise, perform step S27, determine that data available is special body size data, be divided into the special body size group in style data group;
Step S28, according to the style of this ready-made clothes, require data in described style data group to increase quantity of margin, obtain clothing data.
Concrete, the data in common group and special body size group in described style data group are increased to quantity of margin.
The concrete implementation content of each step of the present embodiment is identical with the disclosed content of above-described embodiment, refers to above-described embodiment, repeats no more herein.
In the step S25 of the present embodiment, country's standard of size refers to GB/T1335-----2010 < < garment size > >, type table content is more due to this number, only take No. 155 herein as example, sees the following form.
Unit (cm)
When tested human body is No. 155 76 types, gather the sized data of its each position, and obtain after data available, each sized data in No. 155 76 types in data available and upper table is compared, obtain difference.
When if the ready-made clothes of making is man's western-style clothes, the permissible variation of correspondingly-sized in difference obtained above and following table is compared, if difference meets permissible variation requirement, the data available that judgement obtains is conventional data, otherwise the data available that judgement obtains is special body size data.
Man's western-style clothes finished product position permissible variation unit (cm)
| Toponym | Permissible variation |
| Clothing is long | ±1.0 |
| Chest measurement | ±1.5 |
| Sleeve length | ±0.7 |
| Shoulder breadth | ±0.6 |
| Neck circumference | ±0.6 |
Another embodiment of the present invention also discloses a kind of clothing data generation system based on ready-made clothes customization, as shown in Figure 3, comprising: sample extreme generation unit 101, data available generation unit 102 and clothing data generating unit 103, wherein:
Sample extreme generation unit 101 is respectively organized the sample extreme of data for calculating original data set, in described original data set, respectively organize the sized data that data are each position of human body;
When data available generation unit 102 is not more than data standard codomain for the absolute value when described sample extreme, calculate the mean value of respectively organizing data in original data set, and using it as data available;
Clothing data generating unit 103 is for according to the sized data demand of ready-made clothes kind, described data available being divided into style data group, and requires data in described style data group to increase quantity of margin according to the style of this ready-made clothes, obtains clothing data.
The disclosed clothing data generation system based on ready-made clothes customization of another embodiment of the present invention, as shown in Figure 4, this system is except comprising sample extreme generation unit 201, data available generation unit 202 and clothing data generating unit 203, also comprise general, special body size data generating unit 204, general, special body size data generating unit 204 is for comparing the sized data of data available and national standard of size; When described data available meets national standard of size dimensional discrepancy requirement, determine that this data available is conventional data, be divided into the common group in style data group; Otherwise, determine that data available is special body size data, be divided into the special body size group in style data group.
The course of work of the disclosed clothing data generation system based on ready-made clothes customization of above-mentioned two embodiment is as identical in the content of the embodiment of the clothing data creation method based on ready-made clothes customization disclosed by the invention, two embodiment that refer to the above-mentioned clothing data creation method based on ready-made clothes customization repeat no more herein.
In this description, each embodiment adopts the mode of going forward one by one to describe, and each embodiment stresses is the difference with other embodiment, between each embodiment identical similar part mutually referring to.
Above-mentioned explanation to the disclosed embodiments, makes professional and technical personnel in the field can realize or use the present invention.To the multiple modification of these embodiment, will be apparent for those skilled in the art, General Principle as defined herein can, in the situation that not departing from the spirit or scope of the present invention, realize in other embodiments.Therefore, the present invention will can not be restricted to these embodiment shown in this article, but will meet the widest scope consistent with principle disclosed herein and features of novelty.
Claims (7)
1. the clothing data creation method based on ready-made clothes customization, is characterized in that, comprising:
Calculate the sample extreme of respectively organizing data in original data set, in described original data set, respectively organize the sized data that data are each position of human body;
When the absolute value of described sample extreme is not more than data standard codomain, calculate the mean value of respectively organizing data in original data set, and using it as data available;
According to the sized data demand of ready-made clothes kind, described data available is divided into style data group, and requires data in described style data group to increase quantity of margin according to the style of this ready-made clothes, obtain clothing data.
2. method according to claim 1, is characterized in that, when described data available is divided into after style data group, also comprises:
The sized data of comparison data available and national standard of size;
When the difference of the sized data of described data available and national standard of size meets national standard of size dimensional discrepancy and requires, determine that this data available is conventional data, be divided into the common group in style data group; Otherwise, determine that data available is special body size data, be divided into the special body size group in style data group.
3. method according to claim 1 and 2, is characterized in that, comprises 2 or 3 sized datas in the original data set of each human body position.
4. method according to claim 1 and 2, is characterized in that, the size of described each position of human body comprises that neck circumference, arm rhizosphere, chest measurement, waistline, hip circumference, shoulder across, across back, brachium, waist are high, waist is high and interior hip is high to stern.
5. method according to claim 1 and 2, is characterized in that, described ready-made clothes kind comprises shirt, cotton clothes, western-style clothes, Western-style trousers, wind coat, nightwear and skirt.
6. the clothing data generation system based on ready-made clothes customization, is characterized in that, comprising:
Sample extreme generation unit, respectively organizes the sample extreme of data for calculating original data set, in described original data set, respectively organize the sized data that data are each position of human body;
Data available generation unit, while being not more than data standard codomain for the absolute value when described sample extreme, calculates the mean value of respectively organizing data in original data set, and using it as data available;
Clothing data generating unit, for according to the sized data demand of ready-made clothes kind, described data available being divided into style data group, and requires data in described style data group to increase quantity of margin according to the style of this ready-made clothes, obtains clothing data.
7. system according to claim 6, is characterized in that, also comprises: general, special body size data generating unit, for comparing the sized data of data available and national standard of size; When described data available meets national standard of size dimensional discrepancy requirement, determine that this data available is conventional data, be divided into the common group in style data group; Otherwise, determine that data available is special body size data, be divided into the special body size group in style data group.
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| CN201110093952.9A CN102726864B (en) | 2011-04-14 | 2011-04-14 | Garment data generation method and system based on garment customization |
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| CN103236018A (en) * | 2013-03-27 | 2013-08-07 | 董礼强 | Quick uniform size matching method |
| CN104318366A (en) * | 2014-10-17 | 2015-01-28 | 上海和鹰机电科技股份有限公司 | Automatic mark ascription method for dress production |
| CN104331802A (en) * | 2014-10-17 | 2015-02-04 | 上海和鹰机电科技股份有限公司 | Quick ready-to-wear generation system and method |
| CN105105398B (en) * | 2015-08-11 | 2016-07-13 | 白雪彬 | A kind of method obtaining ready-made clothes sized data based on basis size |
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| JP4438971B2 (en) * | 1999-10-20 | 2010-03-24 | グンゼ株式会社 | Data three-dimensional apparatus and computer-readable recording medium recording data three-dimensional program |
| US7058471B2 (en) * | 2003-01-14 | 2006-06-06 | Watanabe John S | System and method for custom-made clothing |
| CN101034460A (en) * | 2007-04-13 | 2007-09-12 | 东华大学 | Method for online selling optimized size of clothes |
| CN101533429A (en) * | 2008-03-14 | 2009-09-16 | 余淼淼 | Optimization method for processing human body dimension data and database system therefor |
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