CN104318000A - Automatic generating method of ready-made garment - Google Patents
Automatic generating method of ready-made garment Download PDFInfo
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- CN104318000A CN104318000A CN201410555022.4A CN201410555022A CN104318000A CN 104318000 A CN104318000 A CN 104318000A CN 201410555022 A CN201410555022 A CN 201410555022A CN 104318000 A CN104318000 A CN 104318000A
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Abstract
The invention discloses an automatic generating method of a ready-made garment. The automatic generating method of the ready-made garment comprises the following steps: carrying out human body scanning on a client by a human body scanner so as to acquire clear dimension data of the client and establish a human body model of the client; storing three-dimensional effect graphs of garments, sizes and types of each garment and a size range corresponding to each type; matching size points of the garment selected by the client with bone points of the human body model of the client to obtain a matching effect of the garment and the human body model; matching the size range, which corresponds to each type, of the garment with a clear dimension of the client to determine whether the garment is suitable for the client, and finding the most suitable type so as to generate the most well-fitting ready-made garment for the client.
Description
Technical field
The present invention relates to a kind of electronic clothing making technology, particularly relate to a kind of ready-made clothes model Auto-matching and ready-made clothes generation technique.
Background technology
World today's science and technology is maked rapid progress, flourish along with technology such as computer network, communication, controls, and user more and more tends to personalization of product.Network is the platform that user provides an opening, chooses the personalized article oneself liked for user on the net, different but thing followed problem is purchased commodity with the imagination.In the face of the challenge of new century, apparel industry will realize industrial upgrading, improves integral level, must transform the industrial structure, institutional framework, the product structure of industry by new and high technology.The garment production processing enterprise of China is numerous, sells sales field and can be found everywhere especially.Along with the raising of living standards of the people and the change of life style, the competitive pressure of clothes production enterprise rises gradually, clothes sales field is due to the increase of venue cost, the operating cost of clothes distributors is also climbed up and up, is badly in need of the production and sales pattern of science more to improve the competitive power of enterprise.The features such as the region of the seasonality of clothes, the limitation in place, hobby are all the factors that restriction garment production and sale enterprise reduce costs, increase the benefit, and break through this traditional sales mode, make full use of the Information Communication advantage that infotech is brought, the science production and sales pattern realized truly is improved, and is the active demand of garment production and sale enterprise.
The flow process of traditional design clothing is: 1. data collection: before design concept, understand the various information in market, carry out abundant investigation.2. planning and design style: according to market survey and Brand Strategy to the requirement of product, designer adds that oneself is to the unique understanding of art (aesthstic, technology and economic aspect), skeletonizing or express the garment consumption of intention.3. determine design proposal: consider ins and outs, determine the fabric that matches with intention and auxiliary material etc. from color, quality, complete type and the several aspect of subsequent treatment.4. sample making: the tram determining its different ratio, size, draws the style and its component part of cutting out, and by the further review of design scheme of sample, and calculates man-hour, and establishment operation is Workshop Production scheme of arrangement.5. sample clothing aspects such as () form, dress material, processing technology and decoration auxiliary materials is examined.6. sample clothing (comprising expansion pattern, marker map, quota materials, working specification etc.) is made.7. ready-made clothes is paid.The defect of traditional design clothing is: flow process is loaded down with trivial details, and client need confirm repeatedly, even if effective figure also cannot watch comprehensively, design sketch mostly is plane three-view diagram, and cannot accomplish that details is watched, customer involvement degree is not high.
In order to improve the participation of client, simplify clothing flow process, a kind of plane model of current popular dressing system, its model is real, and clothes is also real.The advantage of this system is that cost is low, as long as every part clothes take a picture, by photo microtomy, model's photo is cut into some pieces of districts according to position, user changes each spot size of model, simulate effect of self wearing the clothes, the texture of clothes can be embodied to greatest extent.Shortcoming is that clothes upper body effect is not accurate enough, and some details fail to embody, as upper-arm circumference, leg enclose, and display effect also just two dimensional surface, can not give user's one intuitively multiaspect angled-view experience.
Summary of the invention
The technical matters that the present invention mainly solves is to provide a kind of automatic generation method of ready-made clothes, the size mated most can be found also to generate the most fit ready-made clothes for client.
In order to solve the problems of the technologies described above, the invention provides a kind of automatic generation method of ready-made clothes, comprise following steps: by body-scanner, body scans is carried out to client, according to scanning the human body model data obtained, determine the dead size data of this client, set up the manikin of this client;
Preserve the 3 d effect graph of clothes, and the large ting model that every part clothes comprise, and the range of size that each model is corresponding;
By the bone Point matching of the manikin of the size of the clothes of customer selecting point and this client, obtain the matching effect of clothes and manikin;
Each for these clothes range of size of model and the dead size of this client are matched, determines whether these clothes are applicable to this client, and find most suitable model, for client generates the ready-made clothes of this model.
Compared with prior art, the key distinction and effect thereof are embodiment of the present invention: carry out body scans by body-scanner to client, obtain the dead size data of this client, set up the manikin of this client; Preserve the 3 d effect graph of clothes, and the large ting model that every part clothes comprise, and the range of size that each model is corresponding; By the bone Point matching of the manikin of the size of the clothes of customer selecting point and this client, obtain the matching effect of clothes and manikin; Each for these clothes range of size of model and the dead size of this client are matched, determines whether these clothes are applicable to this client, and find most suitable model, thus the most fit ready-made clothes can be generated for client.
Accompanying drawing explanation
Fig. 1 is the automatic generation method process flow diagram of the ready-made clothes in first embodiment of the invention;
Fig. 2 is the method flow diagram setting up client's body Model in second embodiment of the invention;
Fig. 3 is the method flow diagram making clothes 3 d effect graph in third embodiment of the invention.
Embodiment
For making the object, technical solutions and advantages of the present invention clearly, below in conjunction with accompanying drawing, embodiments of the present invention are described in further detail.
First embodiment of the invention relates to a kind of automatic generation method of ready-made clothes.
In step 101, by body-scanner, client is scanned, according to scanning the human body model data obtained, determining the dead size data of this client, setting up the manikin of this client.
In step 102, it is every part clothing making 3 d effect graph.The form that the clothes 3 d effect graph produced is preserved can be .obj .adjpts .mtl .weight .jpeg etc.
In step 103, by backstage clothes 3 d effect graph imported in database and preserve, and the large ting model of imported every money clothes and range of size (comprising maximum to each model in minimum and range of size corresponding to each model) are input in database.Wherein, the model of every money clothes can the range of size at a corresponding position, also can the range of size at corresponding multiple position.The model of the clothes of different money can the range of size of corresponding varying number different parts.Position can comprise: waistline, chest measurement, neck circumference, shoulder across, hip circumference etc.Such as, the model of shirt can corresponding bust size scope and waist size scope (the corresponding chest measurement 80-88 of the shirt as S model, waistline 72-80); The model of T-shirt can only corresponding bust size scope; The model of Western-style trousers can corresponding waist size scope and hip circumference range of size; Etc..Equally, the maximum division to minimum model of every money clothes also can be different.Some styles only divide S, M, L third gear, and some styles are divided into XS, S, M, L, XL, XXL etc. many grades, or, other model dividing mode can also be had.
After the data of clothes are all input to database, select the fitting model (being called acquiescence model) that model size model placed in the middle is given tacit consent to as these clothes.
In customer selecting after certain a clothes, enter in step 104, by the bone Point matching of the manikin of garment dimension point and this client, obtain the matching effect of clothes and human body.Thus client according to the clothes effect of my manikin, can select the clothes liked.
In step 105, each for these clothes range of size of model and the dead size of this client are matched, determine whether these clothes are applicable to this client, if be applicable to, find most suitable model, for client generates the ready-made clothes of this model.
Specifically, the dead size of the range of size of the acquiescence model of clothes and this client's human body is matched, if coupling, then using this acquiescence model as most suitable model; If the dead size of this client is greater than range of size corresponding to this acquiescence model, then according to the difference of the range of size of this client's dead size and this acquiescence model, amplifies at least one model, find the model of mating with this dead size, as most suitable model; If the dead size of this client is less than range of size corresponding to this acquiescence model, then according to the difference of the range of size of this client's dead size and this acquiescence model, reduces at least one model, find the model of mating with this dead size, as most suitable model.To this most suitable model of lead referral.
Further refinement explanation, if the dead size of this client is less than range of size corresponding to this acquiescence model, then calculate the difference S between the full-size in the dead size of this client range of size corresponding with this acquiescence model, and determine the size delta of adjacent two models of these clothes, difference S is obtained business M divided by this size delta, amplifies M+1 model.If the dead size of this client is less than range of size corresponding to this acquiescence model, difference W between minimum dimension in the range of size that the dead size then calculating this client is corresponding with acquiescence model, and determine the size delta of adjacent two models of these clothes, difference W is obtained business N divided by this size delta, reduces N+1 model.
In present embodiment, adjacent two model waistline increments are generally 8cm-16cm; Adjacent two model chest measurement increments are generally 8cm-16cm; Adjacent two model neck circumference increments are generally 1cm-2cm; Adjacent two model shoulder across increments are generally 1.2cm-2.2cm; Adjacent two model hip circumference increments are generally 3cm-6cm.
For the situation of the range of size at the corresponding multiple position of a model, in this step, respectively the dead size of each for each model range of size at position and the corresponding site of this client is matched, find the model that each position is mated most, if the model of different parts coupling is different, then therefrom select a maximum model as optimal model; If identical, then the model of this coupling is optimal model.
In this step, if the dead size of this client is greater than range of size corresponding to the maximum model of these clothes, or be less than range of size corresponding to the minimum model of these clothes, then prompting does not have suitable size, cannot change this part clothes.For the situation of the range of size at the corresponding multiple position of a model, as long as client has the dead size at a position to be greater than the full-size at this position corresponding to the maximum model of these clothes, or there is the dead size at a position to be less than the minimum dimension at this position corresponding to the minimum model of these clothes, namely prompting does not have suitable size, cannot change this part clothes.Such as shirt, but waistline has suitable model chest measurement beyond the range of size of maximum model, then prompting does not have suitable size.
Second embodiment of the invention relates to a kind of automatic generation method of ready-made clothes equally, roughly the same with the first embodiment, its difference is, in present embodiment, be castrated dimensional data and the concrete mode of setting up client's body Model that obtain client are supplemented, specifically as shown in Figure 2:
In step 201, by each infrared camera in body-scanner, client place scanning space is scanned, according to the ultrared distance computer memory degree of depth of reflection, obtain the human body model data of client.Specifically, because scanning space is fixed space, each camera can launch infrared linear array when scanning, and can reflect back, by calculating the degree of depth in space to the ultrared distance reflected when infrared ray has been mapped to when object is obstructed.Obtain the whole model data of measurement person's human body.
In step 202, PC holds the human body model data scanned by camera to carry out the conversion of a cloud, obtains point cloud chart, and point cloud chart is all by a model formed, and in point cloud chart, each point is for defining the size positions point of human body.Such as the chest measurement of human body, the chest measurement of human body is different in the position that different company defines, and PC end can define the chest measurement of diverse location by the position of software change point.
In step 203, PC end selects the point of corresponding partes corporis humani position from point cloud chart, according to the position of the point of partes corporis humani position, determines the dimensional data of human body corresponding position, obtains the dead size data of client.Because point cloud chart is all by form, so the data of whole human body all can be extracted substantially.Can need by customer demand or design the point selecting corresponding partes corporis humani position, extract the dimensional data of corresponding position.The dimensional data of human body corresponding position at least comprises one of following or its combination in any: collar, shoulder breadth, chest measurement, sleeve length, clothing length, waistline, hip circumference, trousers length.
In step 204, PC end, according to the dimensional data of partes corporis humani position, is set up out the skeleton of human body, is transformed into the manikin that belongs to client oneself again.The actions such as this model can move, turn round.
By which, high-precision human parameters can be obtained, obtain accurate manikin, thus give client and to fit really impression.
Third embodiment of the invention relates to a kind of automatic generation method of ready-made clothes equally, roughly the same with the first embodiment, its difference is, in present embodiment, mode for entity clothing making clothes 3 d effect graph is supplemented, specifically as shown in Figure 3:
In step 301, obtain the two-dimentional garment image of same clothes different angles.Two dimension garment image generally can be taken by entity clothes and obtain.At least comprise with lower angle: dead ahead, dead astern, left side and right side.The shooting height of the two-dimentional garment image of different angles is consistent.
In step 302 open, sheet process is torn to the two-dimentional garment image of different angles.Specifically can pass through Photoshop software, the process such as sheet be torn to two-dimentional garment image open, to meet the operation of next step software.
In step 303, on above-mentioned two-dimentional garment image, be this garment definition vital point, suture line and static line.As shown in Figure 2, the suture line of shoulder and waist has been shown in Fig. 2.In practical operation, can be garment definition vital point, suture line and static line in Meshgen software.Above-mentioned vital point can comprise one of following or its combination in any: shoulder point, chest point, waist point, hip point point, wrist location point, ankle location point and/or neckline location point.
In step 304, according to the vital point of defined clothes, suture line and static line, in conjunction with the simulation model preset, stitchings making is carried out to clothes, converts two-dimentional garment image to three-dimensional garment design sketch.
In practical operation, iDressing software can be adopted, according to the Points And lines (i.e. vital point, suture line and static line) of the clothes defined in Meshgen software, the simulation model carried by system, clothes are carried out stitching to make, 2D picture converts 3D garment consumption to the most at last.
By the way, accurately and rapidly the two-dimension picture of clothes can be converted to 3 d effect graph.Give client more three-dimensional, real fitting impression.
Although by referring to some of the preferred embodiment of the invention, to invention has been diagram and describing, but those of ordinary skill in the art should be understood that and can do various change to it in the form and details, and without departing from the spirit and scope of the present invention.
Claims (10)
1. an automatic generation method for ready-made clothes, is characterized in that, comprises following steps:
A, by body-scanner, body scans is carried out to client, according to scanning the human body model data obtained, determining the dead size data of this client, setting up the manikin of this client;
The 3 d effect graph of B, preservation clothes, the large ting model that every part clothes comprise, and the range of size that each model is corresponding;
C, by the bone Point matching of the manikin of the size of the clothes of customer selecting point and this client, obtain the matching effect of clothes and manikin;
D, each for these clothes range of size of model and the dead size of this client to be matched, determine whether these clothes are applicable to this client, if be applicable to, find most suitable model, for client generates the ready-made clothes of this model.
2. the automatic generation method of ready-made clothes according to claim 1, is characterized in that, comprises following sub-step in described step D:
The dead size of the size and this client of clothes being given tacit consent to model matches, if coupling, then using this acquiescence model as most suitable model;
If the dead size of this client is greater than range of size corresponding to this acquiescence model, then according to the difference of the range of size of this client's dead size and this acquiescence model, amplifies at least one model, find the model of mating with this dead size;
If the dead size of this client is less than range of size corresponding to this acquiescence model, then according to the difference of the range of size of this client's dead size and this acquiescence model, reduces at least one model, find the model of mating with this dead size.
3. the automatic generation method of ready-made clothes according to claim 1, is characterized in that, comprises following sub-step in described step D:
If the dead size of this client is greater than range of size corresponding to the maximum model of these clothes, or be less than range of size corresponding to the minimum model of these clothes, then prompting does not have suitable size.
4. the automatic generation method of ready-made clothes according to claim 2, is characterized in that, described acquiescence model is model placed in the middle in the large ting model that comprises of described clothes.
5. the automatic generation method of ready-made clothes according to claim 2, it is characterized in that, if the dead size of this client described is greater than range of size corresponding to this acquiescence model, then according to the difference of the range of size of this client's dead size and this acquiescence model, amplify in the step of at least one model
Calculate the difference S between the full-size in the dead size of the described client range of size corresponding with described acquiescence model, and determine the size delta of adjacent two models of these clothes, described difference S is obtained business M divided by described size delta, amplifies M+1 model;
If the dead size of this client described is less than range of size corresponding to this acquiescence model, then according to the difference of the range of size of this client's dead size and this acquiescence model, reduce in the step of at least one model,
Calculate the difference W between the minimum dimension in the dead size of the described client range of size corresponding with described acquiescence model, and determine the size delta of adjacent two models of these clothes, described difference W is obtained business N divided by described size delta, reduces N+1 model.
6. the automatic generation method of ready-made clothes as claimed in any of claims 1 to 5, it is characterized in that, in described step B, the range of size at model at least one position corresponding of described clothes, the range of size of the corresponding varying number different parts of model of different clothes;
Described position at least comprises one of following or its combination in any: waistline, chest measurement, neck circumference, shoulder across and/or hip circumference.
7. the automatic generation method of ready-made clothes according to claim 6, is characterized in that, the size delta of adjacent two models of described clothes is one of following or its combination in any:
Adjacent two model waistline increments are 8cm-16cm;
Adjacent two model chest measurement increments are 8cm-16cm;
Adjacent two model neck circumference increments are 1cm-2cm;
Adjacent two model shoulder across increments are 1.2cm-2.2cm;
Adjacent two model hip circumference increments are 3cm-6cm.
8. the automatic generation method of ready-made clothes according to claim 1, it is characterized in that, describedly by body-scanner, body scans is carried out to client, according to scanning the human body model data obtained, set up in the manikin of client and the step of dead size data, comprise following sub-step:
Scanned by the scanning space of each infrared camera to client place in body-scanner, according to the ultrared distance computer memory degree of depth of reflection, obtain the human body model data of client;
PC holds the human body model data scanned by camera to carry out the conversion of a cloud, obtains point cloud chart, and point cloud chart is all by a model formed, and in point cloud chart, each point is for defining the size positions point of human body;
From point cloud chart, select the point of corresponding partes corporis humani position, according to the position of the point of partes corporis humani position, determine the dimensional data of human body corresponding position, obtain the dead size data of client, and set up the manikin of this client according to the dimensional data of partes corporis humani position.
9. the automatic generation method of ready-made clothes according to claim 1, is characterized in that, before the step of the 3 d effect graph of described preservation clothes, also comprises following steps:
For entity clothes generate 3 d effect graph.
10. the automatic generation method of ready-made clothes according to claim 9, is characterized in that, in the described step for entity clothes generation 3 d effect graph, comprises following sub-step further:
Obtain the two-dimentional garment image of same clothes different angles;
Sheet process is torn open to the two-dimentional garment image of described different angles;
On described two-dimentional garment image, be described garment definition vital point, suture line and/or static line;
According to the vital point of defined clothes, suture line and/or static line, in conjunction with the simulation model preset, stitchings making is carried out to clothes, converts described two-dimentional garment image to three-dimensional garment design sketch;
Described vital point at least comprises one of following or its combination in any:
Shoulder point, chest point, waist point, hip point point, wrist location point, ankle location point and/or neckline location point.
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