CN101984440A - Holographic clothes design method - Google Patents
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- CN101984440A CN101984440A CN 201010520025 CN201010520025A CN101984440A CN 101984440 A CN101984440 A CN 101984440A CN 201010520025 CN201010520025 CN 201010520025 CN 201010520025 A CN201010520025 A CN 201010520025A CN 101984440 A CN101984440 A CN 101984440A
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- 238000000034 method Methods 0.000 title claims abstract description 28
- 238000013461 design Methods 0.000 title claims abstract description 15
- 230000003068 static effect Effects 0.000 claims abstract description 30
- 230000000694 effects Effects 0.000 claims abstract description 28
- 238000011156 evaluation Methods 0.000 claims abstract description 7
- 230000009471 action Effects 0.000 claims description 9
- 238000005259 measurement Methods 0.000 claims description 4
- 238000012937 correction Methods 0.000 claims description 2
- 238000009826 distribution Methods 0.000 claims description 2
- 238000005315 distribution function Methods 0.000 claims description 2
- 238000000691 measurement method Methods 0.000 claims description 2
- 230000008447 perception Effects 0.000 claims description 2
- 238000012545 processing Methods 0.000 claims description 2
- 238000011161 development Methods 0.000 abstract description 6
- 238000004088 simulation Methods 0.000 abstract 3
- 238000001093 holography Methods 0.000 description 3
- 230000008569 process Effects 0.000 description 3
- 239000000463 material Substances 0.000 description 2
- 241001269238 Data Species 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000005094 computer simulation Methods 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 239000004744 fabric Substances 0.000 description 1
- 230000008676 import Effects 0.000 description 1
- 230000002427 irreversible effect Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
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- 210000003205 muscle Anatomy 0.000 description 1
- 230000006855 networking Effects 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 239000002985 plastic film Substances 0.000 description 1
- 229920006255 plastic film Polymers 0.000 description 1
- 238000010998 test method Methods 0.000 description 1
- 210000000707 wrist Anatomy 0.000 description 1
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Abstract
The invention discloses a holographic clothes design method comprising the following steps: measuring static data; measuring dynamic data; analyzing personal dynamic environment requirements; designing clothes; carrying out static 3D simulation; carrying out dynamic 3D simulation; comparing simulation; and outputting optimal data and effect. Because data adopted by the invention is user individual data, formed dressing effect is the perfect effect of user individual dressing; in addition to the personal environment requirements of users, the fit of dressing effect and user requirement is maximum, thus satisfying the individual requirements of users, and realizing the purpose of individuation. The simulated result is distributed on a network platform to be published by the invention to obtain the common evaluation from the individual, clothing experts and netizens, and thus the social acceptance of designed clothes can be known. Under the background of high informatization development of the society, the network platform can efficiently and conveniently finish the requirements of users. The invention provides a clothes design method capable of facing the network.
Description
Technical field
The present invention relates to a kind of dress designing method, particularly a kind of holographyization dress designing method.
Background technology
Along with the development of dress designing, anthropological measuring and data analysis become the basis of Aesthetical Viewpoint on Modern Fashion Design.The method that present stage dress designing DATA REASONING adopts static data to gather more specifically comprises two big classes: contact class and noncontact class, the contact class has: Martin's method, slip gauge method and method with plastic film.The noncontact class has: camera method, Mollier chart method, dressing deformation test method and three-dimensional (3D) scanning system method.The data that obtain by above method are the master data of human body, carry out the clothes selection, design, re-pack and process such as production according to these data, and this type of method for designing is suitable for ready-made clothes and produces in batches.
And along with social informatization development, people have been not only to hide the body resisting cold to the requirement of clothing, more will satisfy people's routine work and attend the particular demands of special occasions; Not only be satisfied with the dressing theory of colony's advolution, pursuing individuality development more, so clothes networking customization becomes irreversible development trend.We propose the holography dress designing method of network-oriented customization at this point, to satisfy the information society human's demand.
Summary of the invention
Be to solve the problems referred to above that prior art exists, the present invention will design and a kind ofly can satisfy people's particular field holography dress designing method of the network-oriented customization of individual demand in one's power.
To achieve these goals, technical scheme of the present invention is as follows: a kind of holographyization dress designing method may further comprise the steps:
A, static data are measured
Adopt static fit measuring method directly to obtain static data, described static data is the basic form data of human body, comprises basic stance and basic sitting posture;
B, dynamic data are measured
When static data is measured, obtain the dynamic data of human body by contact measurement method, described dynamic data comprises the human body dimension measurement data that the measured is in operating state under to be carried out, and comprises dailyly walking appearance and going upstairs away appearance;
C, individual dynamic environment require to analyze
After dynamic data is measured end, individual dynamic environment is required to analyze according to dynamic data; Described individual dynamic environment requires to comprise individual play's data and dressing quantity of margin; Individual play's data are meant the probability density Pi (X) of the changes in amplitude of a certain action of human body X under specific environment, available following formulate:
Fi(X)=∫Pi(X)dx
In the formula, the body measurement position that the i representative is different is as arm, leg, waist; Fi (X) is the pairing probability distribution function of Pi (X);
As following formula, determine Fi (X) according to the action probability distribution scope that human body covered, and obtain optimum range X1 and X2 that certain dynamic environment requires down a certain action X, thereby dynamic data is revised; So just can obtain the partial data that comprises movement range that the individual requires, and add the dressing quantity of margin in the data in this section;
D, dress designing
Dress designing comprises static dress designing and dynamically dress designing; Static dress designing is meant under static state fit the most style design of build of human body; Dynamically dress designing is meant under the specific action requirement, the dressing effect that requires design data to go out according to individual environment;
E, static 3D emulation
With Static Design data input computing machine 3D simulation software, carry out static dressing effect 3D emulation, finish static dressing effect design;
F, dynamically 3D emulation
Dynamic dress designing data are imported computing machine 3D simulation software, finish dynamic 3D emulation;
G, emulation are relatively
Static 3D simulated effect and dynamic 3D simulated effect are compared, and described comparison can comprise three aspects, first aspect: individual perception promptly customizes the satisfaction after the individual sees simulated effect; Second aspect: expert opinion, can simulated effect be uploaded to processing enter by network, the expert carries out specialty evaluation according to aspects such as dress designing, clothing estheticses; The third aspect: the network on-line evaluation, the online friend can online exchange, makes popular judge by social psychology;
If this step end back meets the requirements then proceeds next step.As the undesirable step B that then turns back to, carry out the dynamic data correction, and execution in step B-G successively, up to obtaining satisfied dressing effect;
H, with the output of optimum data and effect.
Steps A-H of the present invention, the user inserts the dress designing platform by the internet, utilizes client promptly can finish all operations, realizes network customization dress designing.
Compared with prior art, the present invention has following beneficial effect:
1, because the data that adopted among the present invention is user's individual data items, the dressing effect that forms is the perfect effect of the individual dressing of user, user's individual environment requirement in addition, the compatible degree of dressing effect and customer requirements can be reached the highest, satisfy user's individual demand, realized personalized purpose.
2, carry out publicity on the network platform because the result of the present invention after with emulation is distributed on, can obtain the common evaluation of individual, clothes expert and three aspects of online friend, can understand the social recognition degree of the clothes that design.In the overall background of social advanced IT application development, the network platform can efficiently be finished requirement of client easily.The invention provides a kind of dress designing method that can network-oriented.
Description of drawings
The present invention has accompanying drawing 2 width of cloth, wherein:
Fig. 1 is the holography dress designing method flow diagram of network-oriented customization.
Fig. 2 is the probability density figure that movement range changes.
Embodiment
Below in conjunction with accompanying drawing and with teacher's dress designing is that example is set forth specific implementation method of the present invention.According to step shown in Figure 1, at first, import the static master data of this teacher individual in client, simultaneously, gather the changing value of this teacher movement range in the carry arm process, the dynamic datas such as frequency that each amplitude occurs, as: the horizontal change angle of shoulder, elbow, wrist, vertical angle changing, degree of drawing, swing, muscle deformability etc.Then, this teacher is required to analyze in individual dynamic environment, it is higher that the carry arm that draws this teacher by analysis is write the action frequency of occurrences of writing on the blackboard, promptly as shown in Figure 2, calculates optimum range X1 and X2 that this teacher's carry arm is write writing on the blackboard This move X; And consider that this teacher is wearing problems such as can occurring the hem are different in size, oxter tensile deformation coefficient increase when normal clothes carry arm writes.At last, carry out teacher's dress designing, and quiet, dynamic dress designing effect is carried out emulation, in dynamic simulation, add the requirement of teacher's carry arm operating environment, simulated effect is implemented three aspect evaluations according to these data according to the gained data.If effect is undesirable, then turn back to the Dynamic Data Acquiring process and carry out data modification, repeat aforesaid operations again up to meeting the requirements.We just can finish the individuality customization of teacher's clothes like this, and these clothes also obtain many-sided optimization simultaneously, for example: the drawing coefficient of its shoulder and oxter sleeve place clothing material is increased, promptly select the good material of degree of drawing; And under situation about not affecting the appearance, add suitable fold in the oxter; Sleeve elbow place carries out Wear-resistant Treatment etc.
The people's customized clothing customization that can stay indoors and finish network-oriented like this.
Claims (2)
1. holographyization dress designing method is characterized in that: may further comprise the steps:
A, static data are measured
Adopt static fit measuring method directly to obtain static data, described static data is the basic form data of human body, comprises basic stance and basic sitting posture;
B, dynamic data are measured
When static data is measured, obtain the dynamic data of human body by contact measurement method, described dynamic data comprises the human body dimension measurement data that the measured is in operating state under to be carried out, and comprises dailyly walking appearance and going upstairs away appearance;
C, individual dynamic environment require to analyze
After dynamic data is measured end, individual dynamic environment is required to analyze according to dynamic data; Described individual dynamic environment requires to comprise individual play's data and dressing quantity of margin; Individual play's data are meant the probability density Pi (X) of the changes in amplitude of a certain action of human body X under specific environment, available following formulate:
Fi(X)=∫Pi(X)dx
In the formula, the body measurement position that the i representative is different is as arm, leg, waist; Fi (X) is the pairing probability distribution function of Pi (X);
As following formula, determine Fi (X) according to the action probability distribution scope that human body covered, and obtain optimum range X1 and X2 that certain dynamic environment requires down a certain action X,, thereby dynamic data is revised; So just can obtain the partial data that comprises movement range that the individual requires, and add the dressing quantity of margin in the data in this section;
D, dress designing
Dress designing comprises static dress designing and dynamically dress designing; Static dress designing is meant under static state fit the most style design of build of human body; Dynamically dress designing is meant under the specific action requirement, the dressing effect that requires design data to go out according to individual environment;
E, static 3D emulation
With Static Design data input computing machine 3D simulation software, carry out static dressing effect 3D emulation, finish static dressing effect design;
F, dynamically 3D emulation
Dynamic dress designing data are imported computing machine 3D simulation software, finish dynamic 3D emulation;
G, emulation are relatively
Static 3D simulated effect and dynamic 3D simulated effect are compared, and described comparison can comprise three aspects, first aspect: individual perception promptly customizes the satisfaction after the individual sees simulated effect; Second aspect: expert opinion, can simulated effect be uploaded to processing enter by network, the expert carries out specialty evaluation according to aspects such as dress designing, clothing estheticses; The third aspect: the network on-line evaluation, the online friend can online exchange, makes popular judge by social psychology;
If this step end back meets the requirements then proceeds next step; As the undesirable step B that then turns back to, carry out the dynamic data correction, and execution in step B-G successively, up to obtaining satisfied dressing effect;
H, with the output of optimum data and effect.
2. holographyization dress designing method according to claim 1 is characterized in that: described steps A-H, the user inserts the dress designing platform by the internet, utilizes client promptly can finish all operations, realizes network customization dress designing.
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Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102750398A (en) * | 2011-04-22 | 2012-10-24 | 广东小猪班纳服饰股份有限公司 | Clothes design system and clothes design method using same |
CN102842089A (en) * | 2012-07-18 | 2012-12-26 | 上海交通大学 | Network virtual fit system based on 3D actual human body model and clothes model |
WO2015196680A1 (en) * | 2014-06-27 | 2015-12-30 | 王大孟 | Garment customization system and customization method |
WO2019178836A1 (en) * | 2018-03-23 | 2019-09-26 | 真玫智能科技(深圳)有限公司 | Costume design platform and costume design method using the platform |
CN111311373A (en) * | 2020-03-11 | 2020-06-19 | 青岛理工大学 | Clothing personalized customization method and device based on consumer social network |
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US20090141648A1 (en) * | 2005-08-19 | 2009-06-04 | Matsushita Electric Industrial Co., Ltd. | Multicarrier communication system, multicarrier communication apparatus and cqi reporting method |
CN101706443A (en) * | 2009-03-27 | 2010-05-12 | 上海工程技术大学 | Smoothness evaluation method of seams of clothing fabrics |
CN101930549A (en) * | 2010-08-20 | 2010-12-29 | 西安电子科技大学 | Second generation curvelet transform-based static human detection method |
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- 2010-10-26 CN CN 201010520025 patent/CN101984440A/en active Pending
Patent Citations (3)
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US20090141648A1 (en) * | 2005-08-19 | 2009-06-04 | Matsushita Electric Industrial Co., Ltd. | Multicarrier communication system, multicarrier communication apparatus and cqi reporting method |
CN101706443A (en) * | 2009-03-27 | 2010-05-12 | 上海工程技术大学 | Smoothness evaluation method of seams of clothing fabrics |
CN101930549A (en) * | 2010-08-20 | 2010-12-29 | 西安电子科技大学 | Second generation curvelet transform-based static human detection method |
Non-Patent Citations (1)
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Cited By (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102750398A (en) * | 2011-04-22 | 2012-10-24 | 广东小猪班纳服饰股份有限公司 | Clothes design system and clothes design method using same |
CN102750398B (en) * | 2011-04-22 | 2015-07-29 | 广东小猪班纳服饰股份有限公司 | Design System of Garment and apply the dress designing method of this system |
CN102842089A (en) * | 2012-07-18 | 2012-12-26 | 上海交通大学 | Network virtual fit system based on 3D actual human body model and clothes model |
WO2015196680A1 (en) * | 2014-06-27 | 2015-12-30 | 王大孟 | Garment customization system and customization method |
WO2019178836A1 (en) * | 2018-03-23 | 2019-09-26 | 真玫智能科技(深圳)有限公司 | Costume design platform and costume design method using the platform |
CN111311373A (en) * | 2020-03-11 | 2020-06-19 | 青岛理工大学 | Clothing personalized customization method and device based on consumer social network |
CN111311373B (en) * | 2020-03-11 | 2023-11-24 | 青岛理工大学 | Personalized clothing customizing method and device based on consumer social network |
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