CN102396821A - Method and system for analyzing automatic measurement data of human body - Google Patents
Method and system for analyzing automatic measurement data of human body Download PDFInfo
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Abstract
The invention discloses a method and system for analyzing automatic measurement data of a human body. The method comprises the steps of: respectively acquiring automatic measurement data and images as well as manual measurement data, obtained according to a uniform defined standard; calculating data range between the automatic measurement data and the manual measurement data, judging whether the data range is in a preset numerical value domain range, if so, judging that the automatic measurement data meets an accuracy requirement, or else, judging that the automatic measurement data does not satisfy the accuracy requirement; intercepting a front view, a vertical view and a side view of a partial human body in the automatic measurement images; and comparing the front view, the vertical view and the side view of the partial human body with conventional part images of a human body respectively, judging whether the images all meet the requirements, if so, judging that the automatic measurement images meet the accuracy requirement, or else, judging that the automatic measurement images do not meet the accuracy requirement.
Description
Technical field
The present invention relates to technical field of data processing, more particularly, relate to a kind of human body automatic measuring data analysing method and system.
Background technology
Anthropological measuring is dress designing and the crucial basic work of production in the clothing industry.At first, anthropological measuring is the main means of carrying out the buman body type generaI investigation, and country's type standard is generally investigated the anthropometric data that is obtained according to a large amount of buman body types and formulated.Secondly; The anthropological measuring result is the main foundation that garment size standard and clothes series specification are formulated; Clothing specification garment size standard suitably increases certain quantity of margin according to style, the modeling characteristic of clothes on the basis of human body control spot size formulates, and the formulation of garment size standard is dependent on somatometric sized data.At last; Anthropological measuring simultaneously also is the basis of carrying out clothing human body, ready-made clothes model form, movement human is learned, three-dimensional cutting is used people's platform research; Three-dimensional cutting is a kind of novel method in the present apparel construction design; The method of directly carrying out on people's platform with grey cloth is adopted in its design, more reasonable structure, and fit degree and stereoeffect are higher.
For anthropological measuring, tradition adopts the measuring method of tape measure hand-manipulated, and its degree of accuracy is higher; But need a large amount of professionals to measure, also must transfer hand-kept data input computer to electronic document, this process also need expend suitable manpower and time; Cause inefficiency; Process cycle is long, and how producible wrong link is difficult for check, the fast reaction requirement of incompatibility modern industry again.
Therefore; A kind of human body automatic measuring method is just arisen at the historic moment, and it has solved traditional-handwork and has measured inefficiency, the long problem of process cycle that exists, and has higher accuracy but this method for automatic measurement can not guarantee data measured; Therefore; In this initial stage of application, just need analyze the data of human body automatic measuring, judge whether it possesses accuracy.
Existing human body automatic measuring data analysing method is to be based upon on traditional clothes processing custom basis, with the reference of traditional-handwork measurement data as accuracy, compares data that automatic measuring equipment obtains and hand dipping data, and is accurate to confirm it.But; The inventor finds in the research process of embodiment of the present invention; The human body automatic measuring method except obtaining sized data, can also obtain human body image in the lump when carrying out human body dimension measurement; Existing human body automatic measuring data analysing method can only the analysis to measure data accuracy; The direct accuracy of testing human image, when judging that according to existing human body automatic measuring data analysing method automatic measured data satisfies accuracy requirement, but the accuracy that can not directly draw with the corresponding image of these data meets the demands.
And automatic measured data and hand dipping data can there are differences on data definition, and like this, data that have difference according to data definition go to judge the accuracy of another data, and itself is just inaccurate.
In addition, the inventor also finds: when hand dipping data itself are inaccurate, just can't confirm the accuracy of automatic measured data, so also will guarantee the accuracy of hand dipping data.
Summary of the invention
In view of this; The present invention provides a kind of human body automatic measuring data analysing method and system; Can not judge the accuracy of automatic measurement image separately and, cause the problem of the inaccuracy of analytical method own to solve existing analytical method owing to adopt the different manual data of data definition standard to judge automatic measured data.
A kind of human body automatic measuring data analysing method comprises:
Obtain the automatic measured data, image and the hand dipping data that obtain according to the unified Definition standard respectively;
Calculate the data extreme difference of said automatic measured data and hand dipping data; Judge that said data extreme difference is whether in preset data codomain scope, if judge that then said automatic measured data satisfies accuracy requirement; Otherwise, judge that then said automatic measured data does not satisfy accuracy requirement;
Front view, vertical view and the side view of local human body in the said automatic measurement image of intercepting;
Front view, vertical view and the side view of said local human body are looked like to compare with the station diagram of conventional human body respectively; Judge whether image all meets the requirements, if judge that then said automatic measurement image satisfies accuracy requirement; Otherwise, judge that said automatic measurement image does not satisfy accuracy requirement.
Preferably, said unified Definition standard is country's definition human dimension standard.
Preferably, said hand dipping data are: the data extreme difference is in preset codomain scope, comprise the data mean value of the hand dipping data group of two data at least.
Preferably, said automatic measured data is: the data extreme difference is in preset codomain scope, comprise the data mean value of the automatic measured data group of two data at least.
Preferably, the measuring intervals of TIME Preset Time of the data in the said automatic measured data group.
Preferably, the scope of said Preset Time is 5-30 minute.
Preferably, judge that said automatic measurement image does not satisfy accuracy requirement after, also comprise: according to the difference generation error type of image and output.
Preferably, said type of error comprises: automatically measurement image dislocation, automatically the measurement image curtailment, automatically measurement image length exceed, automatically the measurement image disappearance, automatically measurement image degree of enclosing get a mistake, automatically measurement image errorless but do not have automatic measured data, the indeterminate and automatic measurement image of measurement image generates wrong automatically.
A kind of human body automatic measuring data analysis system comprises:
Acquiring unit is used to obtain automatic measured data, image and hand dipping data according to the unified Definition canonical measure;
The data accuracy judging unit; Be used to calculate the data extreme difference of said automatic measured data and hand dipping data; Judge that said data extreme difference is whether in preset data codomain scope, if judge that then said automatic measured data satisfies accuracy requirement; Otherwise, judge that then said automatic measured data does not satisfy accuracy requirement;
The image interception unit is used for front view, vertical view and the side view of the local human body of the said automatic measurement image of intercepting;
Image accuracy unit; Be used for front view, vertical view and the side view of said local human body are looked like to compare with the station diagram of conventional human body respectively; Judge whether image all meets the requirements, if judge that then said automatic measurement image satisfies accuracy requirement; Otherwise, judge that said automatic measurement image does not satisfy accuracy requirement.
Can find out from above-mentioned technical scheme; In the human body automatic measuring data analysing method disclosed by the invention; Before judging according to the data extreme difference of automatic measured data and hand dipping data whether the accuracy of automatic measured data meets the demands; Guarantee to adopt the uniform definition standard to obtain automatic measured data and hand dipping data, avoided existing analytical method because data that have difference according to data definition go to judge the accuracy of another data, own with regard to inaccurate problem; And; Judged after the automatic measured data; Also comprise local human figure through the automatic measurement image of intercepting; The method that the station diagram of itself and conventional human body looks like to compare is judged whether automatic measurement image satisfies accuracy requirement, solved the problem that existing analytical method can not be judged the accuracy of automatic measurement image separately.
Description of drawings
In order to be illustrated more clearly in the embodiment of the invention or technical scheme of the prior art; To do to introduce simply to the accompanying drawing of required use in embodiment or the description of the Prior Art below; Obviously, the accompanying drawing in describing below only is some embodiments of the present invention, for those of ordinary skills; Under the prerequisite of not paying creative work, can also obtain other accompanying drawing according to these accompanying drawings.
Fig. 1 is the flow chart of the disclosed a kind of human body automatic measuring data analysing method of the embodiment of the invention;
Fig. 2 is the flow chart of the disclosed a kind of human body automatic measuring data analysing method of another embodiment of the present invention;
Fig. 3 is the structural representation of the disclosed a kind of human body automatic measuring data analysis system of another embodiment of the present invention.
The specific embodiment
To combine the accompanying drawing in the embodiment of the invention below, the technical scheme in the embodiment of the invention is carried out clear, intactly description, obviously, described embodiment only is the present invention's part embodiment, rather than whole embodiment.Based on the embodiment among the present invention, those of ordinary skills are not making the every other embodiment that is obtained under the creative work prerequisite, all belong to the scope of the present invention's protection.
The embodiment of the invention discloses a kind of human body automatic measuring data analysing method and system; Can not judge the accuracy of automatic measurement image separately and, cause the problem of the inaccuracy of analytical method own to solve existing analytical method owing to adopt the different manual data of data definition standard to judge automatic measured data.
Before specifying human body automatic measuring data analysing method disclosed by the invention, method for automatic measurement and the manual measurement method to somatic data describes earlier.
Human body automatic measuring data, image adopt non-contact 3-D anthropological measuring technology, and body scan obtains to human body; Through use the image that light (laser, white light and infrared ray) that the photosensitive device capture device projects human body surface forms on human body, obtain human body image and sized data.Concrete, the general size that needs to measure positions such as human body height, chest measurement, waistline, hip circumference, neck circumference, back of the body length, shoulder brachium, shoulder breadth, and with data measured and human body image combination storage.
Corresponding with the human body automatic measuring data, also need adopt manual mode to measure anthropometric data, sites measured is identical with measuring point in the method for automatic measurement.
The disclosed a kind of human body automatic measuring data analysing method of present embodiment, as shown in Figure 1, comprising:
Step S10, obtain automatic measured data, image and the hand dipping data that obtain according to the unified Definition standard respectively;
Wherein, said unified Definition standard can define the human dimension standard for country, and for example, stipulate in country's definition human dimension standard: human body breastheight point level one week of the amount of enclosing is bust size.
The standard that the staff of hand dipping just defines according to country, the size at each position of the measured human sample of hand dipping, and record measurement data.
Method for automatic measurement is that the order of logging data automatic measuring instrument through the measured human sample of laser scanning, generates measurement data and image synchronously by country's definition standard setting program.Like this, automatic measured data that obtains and image satisfy national definition standard.
When the data automatic measuring appearance is not when adopting country's definition canonical measure somatic data, can be converted into the data that satisfy national definition standard with the data that measure through calculating conversion regime.
Because need to measure a plurality of positions of human body, the principle of the measurement data conversion formula at each position is identical, all be to adopt regression analysis to obtain, below only be elaborated with human body shoulder breadth data instance.
Definition to the shoulder breadth value in country's definition standard is: the air line distance between the 2 acromion points below replaces with shoulder breadth; And the shoulder breadth definition is in the measurement of clothes traditional-handwork: from the camber line distance of left acromion point along shoulder camber line tendency to right acromion point, below replace with the shoulder arc.
The former is the general human body measurement size, and the latter is a clothes special measurement size.During practical application, the making of fit clothing is generally adopted the camber line value of shoulder and is not air line distance.
Concrete, obtain takeing on the regression equation of arc and shoulder breadth conversion through regression analysis, be specially: Yi=a+bXi, wherein: Xi is the independent variable shoulder breadth, Yi is a dependent variable shoulder arc, a=-0.147b=1.104, promptly regression equation is: Y
2=-0.147+1.104X
2
The data extreme difference of step S11, the said automatic measured data of calculating and hand dipping data;
Step S12, judge said data extreme difference whether in preset data codomain scope, if, execution in step S13, judge that said automatic measured data satisfies accuracy requirement, otherwise, execution in step S14, judge that said automatic measured data does not satisfy accuracy requirement;
Front view, vertical view and the side view of local human body in step S15, the said automatic measurement image of intercepting;
During sectional drawing, need the coordinated mode of picture size, resolution ratio, size and the scanning pattern of unified sectional drawing.
Step S16, the front view with said local human body, vertical view and side view look like to compare with the station diagram of conventional human body respectively;
Step S17, judge whether image all meets the requirements, if execution in step S18 judges that said automatic measurement image satisfies accuracy requirement, otherwise execution in step S19 judges that said automatic measurement image does not satisfy accuracy requirement.
Concrete, judge the local people's image of intercepting and the station diagram picture of conventional human body, whether identical at aspects such as lines trends, if identical, prove that then said automatic measurement image satisfies accuracy requirement, otherwise do not satisfy.
In the disclosed content of present embodiment; Before judging according to the data extreme difference of automatic measured data and hand dipping data whether the accuracy of automatic measured data meets the demands; Guarantee to adopt the uniform definition standard to obtain automatic measured data and hand dipping data; Avoided existing analytical method because data that have difference according to data definition go to judge the accuracy of another data, itself is with regard to inaccurate problem; And; Judged after the automatic measured data; Also comprise local human figure through the automatic measurement image of intercepting; The method that the station diagram of itself and conventional human body looks like to compare is judged whether automatic measurement image satisfies accuracy requirement, solved the problem that existing analytical method can not be judged the accuracy of automatic measurement image separately.
In the foregoing description step S12, whether the data extreme difference through judging said automatic measured data and hand dipping data in preset codomain scope, judges whether automatic measured data satisfies accuracy requirement.Concrete, the codomain numerical value of partes corporis humani position is as shown in the table:
Table 1 measurement data codomain list position: cm
Generally speaking, said preset codomain is exactly general tolerance or the maximum tolerance scope in the finger table 1.The data extreme difference of automatic measured data and hand dipping data surpasses general tolerance scope, and being equal to the clothes of making according to this measurement data, to exceed shelves poor, and the formation trip stop explains that automatic measured data does not satisfy accuracy requirement.
And; In order to improve the accuracy of automatic measured data analytical method; Before carrying out analysis of the accuracy, also will guarantee the accuracy of hand dipping data, require said hand dipping data to be: the data extreme difference is in said preset codomain scope, comprise the data mean value of the hand dipping data group of two data at least.
Concrete, the staff measures twice every human sample repeated measurement to be measured at least; And each implementer who measures is different, forms a hand dipping data group; The same method of judging the disclosed judgement automatic measured data of the foregoing description accuracy that adopts is calculated the data extreme difference in these group data, judges that this data extreme difference is whether in preset codomain scope; If; Then the proof these group data satisfy accuracy requirement, calculate the mean value of these group data again, with it as the hand dipping data; Otherwise, measured human sample is remeasured, continue said process, till meeting the demands.
Preset codomain in said process refers to general franchise value or the maximum tolerance scope in the table 1 equally.
Again and, before carrying out analysis of the accuracy, also will guarantee the stability of said automatic measured data to require said automatic measured data to be: the data extreme difference is in preset codomain scope, comprise the data mean value of the automatic measured data group of two data at least.
Concrete, adopt the data automatic measuring appearance to every measured human sample repeated measurement, measure at least twice; And, each Preset Time at interval of measuring, generally speaking; The scope of Preset Time forms an automatic measured data group more than 5 minutes below 30 minutes, also adopts the method for judging the disclosed judgement automatic measured data of the foregoing description accuracy; Calculate the data extreme difference in these group data, judge this data extreme difference whether in preset codomain scope, if; Then the proof these group data satisfy stability requirement, calculate the mean value of these group data again, with it as automatic measured data; Otherwise, measured human sample is remeasured, continue said process, till meeting the demands.
Same, the preset codomain in said process refers to general tolerance or the maximum tolerance scope in the table 1 equally.
When judging automatic measurement image and do not satisfy accuracy requirement, also need carry out detail analysis, to draw its type of error to automatic measurement image.Below specify through an embodiment.
The disclosed human body automatic measuring data analysing method of present embodiment, as shown in Figure 2, step S20-step S29 is identical with the disclosed step S10-step of the foregoing description S19, sees also the disclosed content of the foregoing description, repeats no more here.
The disclosed analytical method of present embodiment determines after automatic measurement image do not satisfy accuracy requirement, also comprises step 30, according to the difference generation error type and the output of image.
Concrete, said type of error comprises: measurement image dislocation automatically, automatically the measurement image curtailment, automatically measurement image length exceed, automatically the measurement image disappearance, automatically measurement image degree of enclosing get a mistake, automatically measurement image errorless but do not have automatic measured data, the indeterminate and automatic measurement image of measurement image generates wrong automatically.
In the disclosed human body automatic measuring data analysing method of practical application embodiment of the invention process, convenient for data statistics, automatic measurement image accuracy test result that will obtain usually and hand dipping data corresponding stored are an EXCEL table back output.
When automatic measurement image is satisfied accuracy requirement by judgement; Adopt numeral " 1 " to carry out mark, when automatic measurement image is judged discontented sufficient accuracy requirement, adopt 2 to carry out mark; And represent various type of errors at ' 2 ' suffix capitalization English letter, as following table for example shown in.
Table 2
The expression formula form of " 2 ' type of error letter ' " shows automatic measurement image type of error; Concrete, the dislocation of " 2A " presentation video, " 2B " presentation video curtailment, " 2C " presentation video length exceed, " 2D " presentation video lacks, " 2E " presentation video degree of enclosing is got a mistake.The above more or less freely understanding of type of error no longer specifies here, below to automatic measurement image errorless but do not have automatic measured data, the indeterminate and automatic measurement image of measurement image generates wrong three types mistake and is elaborated automatically.
Under the normal condition, anthropometer can generate image and data after measuring human sample in the lump, when in some cases, also possibly only generate image, has lost data, and at this moment, accuracy that just can't judgment data can only be judged the accuracy of image.Judge when image and owing to lack data, to judge that still this image does not have accuracy when having accuracy, at this moment, output " 2F ", presentation video is errorless but do not have automatic measured data.
In judging image accuracy process, truncated picture is indeterminate, is not enough to draw the result of the accuracy of image through image; At this moment, the judged result of the automatic measured data that needs combination preorder obtains is if judge that this automatic measured data satisfies accuracy requirement; Calculate the difference of automatic measured data and hand dipping data; The output of " 1X+ (-) numerical value " form of employing is exemplified as: if the automatic measured data value is bigger by 0.10 than hand dipping data value, then export: 1X+0.10; If the automatic measured data value is littler by 0.10 than hand dipping data value, then export: 1X-0.10; Do not satisfy accuracy requirement output " 2G " if judge said automatic measured data, expression, image is indeterminate, data do not satisfy accuracy requirement.
Automatic measurement image generates wrong this type of error and is divided into three kinds again according to error reason, and wherein " 2H " expression modeling mistake, " 2I " expression measuring instrument are read a mistake, " 2J " expression measuring instrument alignment error.
In above-mentioned two disclosed contents of embodiment; Front view, side view, the vertical view of each topography in general automatic measurement image of intercepting; But, when this part adopts the image of above-mentioned three kinds of forms to be not enough to reflect this position, 45 ° of side views of intercepting again; Equally, also to carry out the judgement of accuracy to this image.
Another embodiment of the present invention also discloses a kind of human body automatic measuring data analysis system, and is as shown in Figure 3, comprising:
Acquiring unit 101 is used to obtain automatic measured data, image and hand dipping data according to the unified Definition canonical measure;
Data accuracy judging unit 102; Be used to calculate the data extreme difference of said automatic measured data and hand dipping data; Judge that said data extreme difference is whether in preset data codomain scope, if judge that then said automatic measured data satisfies accuracy requirement; Otherwise, judge that then said automatic measured data does not satisfy accuracy requirement;
Image interception unit 103 is used for front view, vertical view and the side view of the local human body of the said automatic measurement image of intercepting;
Image accuracy unit 104; Be used for front view, vertical view and the side view of said local human body are looked like to compare with the station diagram of conventional human body respectively; Judge whether image all meets the requirements, if judge that then said automatic measurement image satisfies accuracy requirement; Otherwise, judge that said automatic measurement image does not satisfy accuracy requirement.
The disclosed human body automatic measuring data analysis system of this embodiment adopts above-mentioned two disclosed contents of embodiment to carry out data analysis, and detailed process such as above-mentioned content are said, repeat no more here.
Each embodiment adopts the mode of going forward one by one to describe in this specification, and what each embodiment stressed all is and the difference of other embodiment that identical similar part is mutually referring to getting final product between each embodiment.
To the above-mentioned explanation of the disclosed embodiments, make this area professional and technical personnel can realize or use the present invention.Multiple modification to these embodiment will be conspicuous concerning those skilled in the art, and defined General Principle can realize under the situation that does not break away from the spirit or scope of the present invention in other embodiments among this paper.Therefore, the present invention will can not be restricted to these embodiment shown in this paper, but will meet and principle disclosed herein and features of novelty the wideest corresponding to scope.
Claims (9)
1. a human body automatic measuring data analysing method is characterized in that, comprising:
Obtain the automatic measured data, image and the hand dipping data that obtain according to the unified Definition standard respectively;
Calculate the data extreme difference of said automatic measured data and hand dipping data; Judge that said data extreme difference is whether in preset data codomain scope, if judge that then said automatic measured data satisfies accuracy requirement; Otherwise, judge that then said automatic measured data does not satisfy accuracy requirement;
Front view, vertical view and the side view of local human body in the said automatic measurement image of intercepting;
Front view, vertical view and the side view of said local human body are looked like to compare with the station diagram of conventional human body respectively; Judge whether image all meets the requirements, if judge that then said automatic measurement image satisfies accuracy requirement; Otherwise, judge that said automatic measurement image does not satisfy accuracy requirement.
2. method according to claim 1 is characterized in that, said unified Definition standard is country's definition human dimension standard.
3. method according to claim 1 is characterized in that, said hand dipping data are: the data extreme difference is in preset codomain scope, comprise the data mean value of the hand dipping data group of two data at least.
4. method according to claim 1 is characterized in that, said automatic measured data is: the data extreme difference is in preset codomain scope, comprise the data mean value of the automatic measured data group of two data at least.
5. method according to claim 4 is characterized in that, the measuring intervals of TIME Preset Time of the data in the said automatic measured data group.
6. method according to claim 5 is characterized in that, the scope of said Preset Time is 5-30 minute.
7. method according to claim 1 is characterized in that, judge that said automatic measurement image does not satisfy accuracy requirement after, also comprise: according to the difference generation error type of image and output.
8. method according to claim 7; It is characterized in that said type of error comprises: automatically measurement image dislocation, automatically the measurement image curtailment, automatically measurement image length exceed, automatically the measurement image disappearance, automatically measurement image degree of enclosing get a mistake, automatically measurement image errorless but do not have the automatic measured data value, the indeterminate and automatic measurement image of measurement image generates wrong automatically.
9. a human body automatic measuring data analysis system is characterized in that, comprising:
Acquiring unit is used to obtain automatic measured data, image and hand dipping data according to the unified Definition canonical measure;
The data accuracy judging unit; Be used to calculate the data extreme difference of said automatic measured data and hand dipping data; Judge that said data extreme difference is whether in preset data codomain scope, if judge that then said automatic measured data satisfies accuracy requirement; Otherwise, judge that then said automatic measured data does not satisfy accuracy requirement;
The image interception unit is used for front view, vertical view and the side view of the local human body of the said automatic measurement image of intercepting;
Image accuracy unit; Be used for front view, vertical view and the side view of said local human body are looked like to compare with the station diagram of conventional human body respectively; Judge whether image all meets the requirements, if judge that then said automatic measurement image satisfies accuracy requirement; Otherwise, judge that said automatic measurement image does not satisfy accuracy requirement.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104913797A (en) * | 2015-05-29 | 2015-09-16 | 广州供电局有限公司 | Pointer type instrument number reading and recognition method and system |
| CN105105398A (en) * | 2015-08-11 | 2015-12-02 | 白雪彬 | Method for acquiring garment size data based on basic sizes |
| CN105146835A (en) * | 2015-05-19 | 2015-12-16 | 安徽东锦服饰有限公司 | Automatic garment-customizing system |
| CN106960081A (en) * | 2017-03-02 | 2017-07-18 | 汉狮云品（北京）服装科技有限公司 | A kind of clothing parameter extracting method and device, custom made clothing method and system |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPS6144306A (en) * | 1984-08-07 | 1986-03-04 | Ootsuka Kk | Size measuring apparatus for clothes |
| JP2001117963A (en) * | 1999-10-20 | 2001-04-27 | Gunze Ltd | Device for making data three-dimensional and computer readable recording medium recording program for making data three-dimensional |
| CN101322589A (en) * | 2008-07-16 | 2008-12-17 | 苏州大学 | Non-contact type human body measuring method for clothing design |
| CN101533429A (en) * | 2008-03-14 | 2009-09-16 | 余淼淼 | Optimization method for processing human body dimension data and database system therefor |
-
2010
- 2010-09-14 CN CN201010283880.XA patent/CN102396821B/en not_active Expired - Fee Related
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPS6144306A (en) * | 1984-08-07 | 1986-03-04 | Ootsuka Kk | Size measuring apparatus for clothes |
| JP2001117963A (en) * | 1999-10-20 | 2001-04-27 | Gunze Ltd | Device for making data three-dimensional and computer readable recording medium recording program for making data three-dimensional |
| CN101533429A (en) * | 2008-03-14 | 2009-09-16 | 余淼淼 | Optimization method for processing human body dimension data and database system therefor |
| CN101322589A (en) * | 2008-07-16 | 2008-12-17 | 苏州大学 | Non-contact type human body measuring method for clothing design |
Non-Patent Citations (1)
| Title |
|---|
| 王治国: "《临床检验 方法确认与性能验证》", 31 December 2009 * |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105146835A (en) * | 2015-05-19 | 2015-12-16 | 安徽东锦服饰有限公司 | Automatic garment-customizing system |
| CN104913797A (en) * | 2015-05-29 | 2015-09-16 | 广州供电局有限公司 | Pointer type instrument number reading and recognition method and system |
| CN105105398A (en) * | 2015-08-11 | 2015-12-02 | 白雪彬 | Method for acquiring garment size data based on basic sizes |
| CN106960081A (en) * | 2017-03-02 | 2017-07-18 | 汉狮云品（北京）服装科技有限公司 | A kind of clothing parameter extracting method and device, custom made clothing method and system |
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| CN102396821B (en) | 2014-01-01 |
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