Method for quickly generating three-dimensional to two-dimensional combined clothing pattern
Through the rapid generation method of three-dimensional scanning data to two-dimensional clothing paper samples, the problem of difficult to meet personalized needs and low plate making accuracy in the prior art is solved, and the generation of clothing paper samples with high blending and comfort is achieved.
Patent Information
- Application Number
- CN202411607430.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-12
- Publication Date
- 2025-03-04
AI Technical Summary
The existing automatic garment pattern generation technology is difficult to meet personalized needs, and the plate making accuracy and stability are poor, especially in clothing designs with high requirements for fitting.
The three-dimensional model is obtained by scanning the data for three-dimensional scanning, converting it into a three-dimensional virtual model using virtual fitting software, establishing a parameterized structural model, and using the principle of particle-spring algorithm to generate 2D clothing paper samples.
It realizes the rapid generation of personalized paper samples that are most suitable for human characteristics based on the individual body shape, improves the stability and accuracy of plate making, and meets the needs of high fitting and comfort.
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Figure CN119559037A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to a method for quickly generating a three-dimensional to two-dimensional fitted clothing pattern, and belongs to the technical field of clothing customization. Background Art
[0002] The automatic generation technology of clothing patterns is to quickly generate two-dimensional (2D) plane drawings of clothing with the help of computer technology, thereby replacing traditional manual drawing. This technology can greatly improve the efficiency of clothing design and production, and reduce the time and cost of manual operation. Faced with the growing demand of consumers for personalization and diversification, the automatic generation technology of patterns is facing more tests and challenges. The existing automatic generation technology of clothing patterns mainly includes two-dimensional parametric pattern generation technology, clothing pattern generation technology based on fuzzy logic and neural network, and three-dimensional (3D) surface pattern flattening technology based on human body. Among them, the two-dimensional parametric pattern generation technology is to construct a clothing pattern generation model through a series of parameters, and realize the automation of the drawing process according to the input parameter values. The three-dimensional surface pattern flattening technology refers to the direct construction of a three-dimensional clothing virtual entity using surface modeling technology, and the three-dimensional model is directly converted into a two-dimensional clothing pattern through a flattening algorithm. Although compared with the three-dimensional surface pattern flattening technology, the two-dimensional parametric pattern generation technology has higher plate making accuracy, more stability, and less calculation, but the parametric pattern generation lacks intuitive visualization effect, and the three-dimensional concept integration is not enough. For personalized human bodies of different shapes and sizes, two-dimensional parameter mapping can only generate clothing patterns on middle-sized templates by modifying several sets of key parameters. This makes it difficult to achieve an effect of matching the human body shape for clothing with high requirements for fit. Summary of the invention
[0003] In view of this, the present application provides a method for quickly generating fitted clothing patterns from three-dimensional to two-dimensional, which effectively overcomes the problems of the current automatic pattern generation technology, such as high difficulty in plate making, poor stability, and inability to fully meet personalized needs.
[0004] Specifically, the present application is implemented through the following scheme:
[0005] A method for quickly generating a three-dimensional to two-dimensional fitted garment pattern, characterized by the following steps:
[0006] Step 1: Scanning to obtain three-dimensional scanning data of the object to be customized and obtain a three-dimensional model of the object to be customized;
[0007] Step 2: Convert the 3D model into a 3D virtual model through virtual fitting software;
[0008] Step 3, obtaining a 3D clothing basic model from a 3D virtual model;
[0009] Step 4: Establish a parametric structural model;
[0010] Step 5: Generate 2D clothing pattern.
[0011] Further, as a preference:
[0012] In step one, the point cloud processing software Geomagic Wrap is used to fill holes, reconstruct meshes, and smooth the scanned surface. The resulting digitized human body uses the layer cutting method to obtain the characteristic curves of the key parts of the digitized object to be customized. The size of the object to be customized is further measured to obtain accurate data, and the three-dimensional model is completed based on this.
[0013] In step 2, the virtual fitting software uses CLO3D software, and the three-dimensional model is imported into the CLO3D software to perform free conversion of the virtual model to obtain a three-dimensional virtual model.
[0014] In step three, with the help of the 3D pen tool in the CLO 3D software, 3D clothing is drawn on the surface of the converted 3D virtual model to obtain a 3D clothing basic model.
[0015] In step 4, with the help of the parameter constraint function of Auto CAD software, a parametric constraint model of clothing is constructed, the looseness parameters are designed as variables for adjusting the looseness of clothing, and a parametric structural model is established.
[0016] In step 5, a 2D garment pattern is generated according to the principle of the mass-spring algorithm. More preferably, in the model obtained by the spring-mass algorithm principle, both the 2D plate and the 3D garment are discretely expressed as a spring-mass system composed of regular triangular meshes, where the vertices of the mesh are mass points, the edges are springs, there are n mass points, and the position of each mass point is L i (where i = 1, 2, ..., n), the pair of masses connected by the spring is (i, j), and the natural length of the spring is L ij , the spring constant is k, P i and P j Represents the mass m i and m j The position vector of
[0017] 1) For the connected mass pair (i, j), the force F generated by the spring is ij Calculated using Hooke's law:
[0018]
[0019]
[0020] In this way, the forces on mass point i and mass point j are:
[0021] 2) The equation of motion of the particle is described by Newton's second law:
[0022] Among them, m i is the mass of particle i, d represents the distance between two particles, and t is the time variable;
[0023] 3) Calculate the force on each particle and update the position of the particle to satisfy:
[0024] Δt is the time interval, update speed V i satisfy:
[0025]
[0026] 4) After the convergence check, the results are output to obtain the positions of each particle in the grid of the 2D garment pattern.
[0027] Taking a jumpsuit as the object to be customized, the parametric structure model of the jumpsuit includes:
[0028] 1) Analyze the 3D clothing basic model curve and translate it into appropriate arcs and spline curves;
[0029] 2) Analyze the characteristic parameters of the 3D clothing basic model and set the relevant parameter constraint marker map;
[0030] 3) Import the 3D clothing basic model into Auto CAD in DXF format;
[0031] 4) Use parameter constraints, parameter constraint tools and parametric expressions to establish a parametric structural model of the jumpsuit.
[0032] Wherein, in step 4),
[0033] Parameter constraints use geometric constraints and / or size constraints. According to the structure diagram of the jumpsuit, the straight part uses X+Δa for size constraints, where X represents the direct variables of the clothing sample, such as height, waist circumference, chest circumference and other parameters, and Δa represents the variable for detail adjustment of certain parts of the sample; then, according to the state of the straight line, the constraint is a vertical or horizontal geometric constraint; the arc part uses unit arcs, double arcs and triple arcs for constraints. The unit arc is geometrically constrained by determining the center point and radius, and the double arc and triple arc are geometrically and size constrained by determining the tangent point and arc radius as well as the starting point and end point.
[0034] The specific operation process of establishing the parametric structural model of jumpsuit trousers is as follows:
[0035] First, the positional relationship between the objects in the graphic is defined through geometric constraints, and the length, angle or radius between the objects in the graphic is assigned through dimension constraints or dimension constraints are performed using function expressions;
[0036] Secondly, the positional relationship of the graphic segments is identified through the automatic constraint program and the graphic position is constrained by itself;
[0037] Finally, digital mapping is performed in conjunction with drawing tools;
[0038] When modifying the initial data, geometric constraints, dimension constraints, and automatic constraints enable the original graphics to change quickly and simultaneously, facilitating the standard and instantaneous automatic generation of garment patterns.
[0039] The present invention studies the rapid generation of three-dimensional to two-dimensional clothing patterns, and can quickly obtain personalized patterns that best meet human characteristics based on individual body shape. The pattern generation method proposed in the present invention is stable and fast, with good effects; virtual fitting and pressure simulation results show that the parameter-generated samples can meet the requirements of different fits and have good comfort. The present invention provides a new parameter pattern generation method for fitted clothing, which can complete the generation and production of patterns more efficiently and intelligently. BRIEF DESCRIPTION OF THE DRAWINGS
[0040] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.
[0041] Figure 1 The digitized human body processed by Geomagic Wrap, a point cloud processing software in this application, (a) digitized human body, (b) characteristic curve;
[0042] Figure 2 The process of obtaining the personalized human model in this application, (a) is a three-dimensional scanned human body, (b) a CLO3D virtual model, (c) is an aligned scanned human body, and (d) is a personalized human model;
[0043] Figure 3 This is the basic sample of personalized jumpsuit pants in this application;
[0044] Figure 4 This is the arc planning diagram for the jumpsuit model;
[0045] Figure 5 Create a parameter constraint marker diagram for the jumpsuit basic pattern;
[0046] Figure 6 It is the geometric constraint information of the jumpsuit;
[0047] Figure 7These are personalized jumpsuit samples with different looseness, (a) is the personalized parameter 1 clothing sample, (b) is the personalized parameter 2 clothing sample, and (c) is the personalized parameter 3 clothing sample;
[0048] Figure 8 It is a pressure value table;
[0049] Fig. 9 Virtual fitting effect and pressure display color analysis of jumpsuits with different personalized looseness parameters.
[0050] (a) is the virtual fitting effect of personalized parameter 1, (b) is the virtual fitting effect of personalized parameter 2, and (c) is the virtual fitting effect of personalized parameter 3. DETAILED DESCRIPTION
[0051] In order to make the technical problems, technical solutions and beneficial effects to be solved by this application clearer, the technical solutions in the embodiments of this application will be further described in detail below in conjunction with the drawings in the embodiments of this application. It should be understood that the specific embodiments described herein are only used to explain this application and are not used to limit the technical solutions of this application. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application.
[0052] Example 1
[0053] This embodiment takes women's one-piece trousers as the object to be treated and introduces the present application scheme.
[0054] (1) 3D human body scanning and building a 3D human body model:
[0055] Using a 3D scanner to obtain complex human body surfaces and accurate human body data is the basis for personalized clothing customization. First, a young woman was randomly selected. The test subject was 166.2cm tall, 22 years old, and weighed 55.6kg. The body was scanned with a non-contact 3D human body scanner to quickly obtain 3D human body information.
[0056] In order to ensure the accuracy of the data, the point cloud processing software Geomagic Wrap is used to fill holes, reconstruct meshes, and smooth the scanned human body surface. The processed digitized human body is sliced using the layer cutting method to obtain the characteristic curves of the key parts of the digitized human body, and the human body size is further measured to obtain accurate human body data. Figure 1 shown.
[0057] Table 1: Dimensions of key parts of the digitized human body
[0058] Location Size / cm Back length 38.4 shoulder width 39.0 chest circumference 88.5 waistline 69.5 Hips 96.9 Knee circumference 33.2 Ankle circumference 21.2 Crotch length 20.4 Thigh circumference 53.9 .
[0059] (2) Virtual model conversion to obtain personalized virtual models
[0060] CLO 3D has a "virtual model free conversion" function since version 5.0, which can convert any 3D human body into a CLO3D virtual model. Designers can not only adjust the size with the help of the "model editor", but also transform the digital human body into a personalized human model, which provides conditions for the generation of high-precision and personalized clothing patterns.
[0061] Figure 2 The process of obtaining a personalized human body model shows that the difference before and after the conversion is small and the conversion accuracy is high. The converted personalized human body model can represent the three-dimensional scanned human body for parametric pattern making of women's jumpsuit.
[0062] (3) Generating basic clothing samples for women’s jumpsuit pants
[0063] With the help of CLO 3D virtual model conversion function, the model is customized according to the user's real body characteristics, and the obtained sample is used as the basic sample of the jumpsuit to establish a parametric structural model later. The jumpsuit is a sleeveless body-fitting jumpsuit. With the help of the 3D pen (virtual model) tool in the CLO 3D software, the jumpsuit sample is constructed on the surface of the personalized human model. The sample is flattened using the principle of the mass-spring algorithm, and the details are repeatedly modified and adjusted to finally obtain the basic sample of the personalized jumpsuit, such as Figure 3 As shown, the 3D clothing fits the human body precisely and can clearly show the basic clothing structure under the human body shape characteristics.
[0064] The virtual model conversion function can convert any human body into a CLO3D virtual model, which provides the conditions for the generation of high-precision, personalized clothing patterns. The comparison before and after the conversion shows that the difference is small and the conversion accuracy is high. The converted personalized human model can represent the 3D scanned human body for parametric pattern making of women's jumpsuits.
[0065] The mass-spring algorithm is widely used in modeling and simulation due to its simple structure and high efficiency. The idea of the mass-spring model flattening algorithm is to regard the system as a network composed of a series of mass points and spring connections, and to realize the behavior of the model by solving the forces between these mass points.
[0066] In the model obtained by the spring-mass algorithm principle, both the 2D plate and the 3D clothing are discretized into a spring-mass system composed of regular triangular meshes. The vertices of the mesh are masses, the edges are springs, and there are n masses. The position of each mass is L i (where i = 1, 2, ..., n), the pair of masses connected by the spring is (i, j), and the natural length of the spring is L ij, the spring constant is k, P i and P j Represents the mass m i and m j The position vector of
[0067] 1) Calculation of force
[0068] For the connected mass pair (i, j), the force F generated by the spring is ij Calculated using Hooke's law:
[0069]
[0070]
[0071] In this way, the forces on mass point i and mass point j are:
[0072] 2) Equations of motion
[0073] The equation of motion for the particle is described by Newton's second law:
[0074] Among them, m i is the mass of particle i, d represents the distance between two particles, t is the time variable,
[0075] The mass-spring based flattening algorithm arranges the mass points in the system into a reasonable structure, which is usually implemented using a force-directed algorithm. The process includes:
[0076] 1) Initialization: Set the position of the mass point and the length of the spring.
[0077] 2) Iterative calculation: calculate the force of each particle and update the position of the particle:
[0078] Δt is the time interval,
[0079] Update speed V i :
[0080]
[0081] 3) Convergence check: As the system iterates, after the model converges, if the maximum displacement of all particles is less than the specified threshold, the model can be considered to have reached equilibrium and the algorithm is stopped.
[0082] 4) Output result: Output the position of each particle in the grid of the 3D garment flattened into a two-dimensional sample, i.e., a 2D garment pattern.
[0083] From a three-dimensional perspective, with the help of the virtual model conversion function, the three-dimensional human body is converted into a personalized human body model, and then a 3D basic clothing sample is obtained. Based on the mass-spring algorithm, the 3D clothing is flattened into a two-dimensional basic clothing plate. The basic clothing sample is highly compatible with the human body, pays attention to the difference in human body shape, emphasizes personalization, and is comfortable to wear. Through the parameter constraint function of AutoCAD software, a parametric structural constraint model of the clothing sample is constructed. Once the parametric clothing sample is established, it only needs to adjust the parameters and function expressions to drive the original sample to quickly generate a personalized clothing sample.
[0084] The basic model of the 3D jumpsuit includes: using the 3D pen tool in the CLO 3D software, drawing 3D clothing on the surface of the converted personalized human model. The 3D clothing fits the human body accurately and can clearly show the basic clothing structure under the human body shape characteristics. According to the principle of the mass-spring algorithm, the 3D basic clothing is flattened into a two-dimensional clothing plate.
[0085] The parametric structural model of jumpsuit pants includes: 1) analyzing the basic pattern curves of personalized jumpsuit pants and translating them into appropriate arcs and spline curves; 2) analyzing the characteristic parameters of the basic pattern and setting relevant parameter constraint marking diagrams; 3) importing the basic pattern of personalized jumpsuit pants into Auto CAD in DXF format; and using geometric constraint and dimensional constraint tools and parametric expressions to establish an automatic generation model for women's jumpsuit pants patterns.
[0086] Parametric constraint marking is performed according to the flattened two-dimensional jumpsuit template, and the parameter type and writing information of the jumpsuit are designed.
[0087] The clothing parameter types are set to size constraint parameters and user parameters. User parameter X is a direct variable that affects the clothing sample. It refers to the variable that makes a large adjustment to the size of the part that needs to be changed, such as height, waist circumference, chest circumference, etc. After the initial parameter model is established, the clothing sample can be quickly adjusted or a new sample can be generated by changing this parameter. Size constraint parameters are based on user parameters as basic variables. By introducing a new variable Δt, it is expressed in the form of X+Δt in the function expression, and the details of certain parts of the sample can be adjusted by changing the new variable (Δt).
[0088] There are two types of parameter constraints: geometric constraints and size constraints. Taking women's jumpsuits as an example, according to the jumpsuit clothing structure diagram, the straight line part uses a formula to constrain the size, and then according to the state of the straight line, the constraint is a vertical or horizontal geometric constraint. The arc part uses unit arcs, double arcs and triple arcs for constraints. The unit arc is geometrically constrained by determining the center point and radius, and the double arc and triple arc are geometrically and size constrained by determining the tangent point and arc radius as well as the starting point and end point.
[0089] Through the parametric principle, garment patterns can be quickly adjusted or new patterns can be generated. The parametric principle steps are as follows: first, the positional relationship between the objects of the graphics is defined through geometric constraints, and the length, angle or radius between the objects of the graphics is assigned through dimension constraints or size constraints are performed using function expressions. Secondly, the positional relationship of the graphic segments is identified through the automatic constraint program and the graphic position is constrained by itself. Finally, digital mapping is performed in combination with drawing tools. When the initial data is modified, these three constraints will cause the original graphics to change quickly and simultaneously, which helps to standardize and instantly automatically generate clothing patterns.
[0090] (4) Automatic generation of women's jumpsuit pattern
[0091] In view of Auto CAD's excellent parametric functions and its ability to quickly respond to design changes and demand adjustments, the basic units of geometry and annotation (dimension) constraints in the Auto CAD parametric toolbar are used to constrain the straight lines and arcs in the jumpsuit template and construct a parametric template structure constraint model.
[0092] ① Arc fitting of the jumpsuit pattern curve
[0093] The curve of the jumpsuit trousers template is mainly divided into C-shaped curve and S-shaped curve, among which the S-shaped curve can be obtained by two segments of C-shaped curve. Since Auto CAD software can only constrain the parameters of arcs and straight lines, the C-shaped curve in the jumpsuit trousers template is mainly fitted by single arc, double arc, triple arc and other methods. The curve is segmented according to the curvature change of the template curve, and the arc planning diagram of the jumpsuit trousers template is established, as shown in Figure 4 shown.
[0094] ②Establishment of constraint marking diagram for jumpsuit pants
[0095] A parameter constraint markup diagram is created on the basic pattern of the jumpsuit pants to design clothing parameter information. Figure 5 shown.
[0096] ③Establishment of automatic generation model of jumpsuit pattern
[0097] First, according to the parametric constraint marking diagram of the jumpsuit, the straight line part of the diagram is dimensionally constrained using formulas, and then the constraints are vertical or horizontal geometric constraints according to the state of the straight line. The unit arc is geometrically constrained by determining the center point and radius, and the double arc and triple arc are geometrically and dimensionally constrained by determining the tangent point and arc radius as well as the starting point and end point.
[0098] Table 2: Dimensional constraints of the parametric structural model of the jumpsuit
[0099]
[0100] Secondly, import the personalized basic pattern of the jumpsuit into Auto CAD, and complete the geometric and dimensional constraints of the clothing pattern in the software according to the designed parameter information. Figure 6 After the parametric structure model is completed, the user parameters can be changed to quickly generate clothing samples that meet the user's needs, ultimately achieving the goal of improving efficiency, saving costs and meeting personalized needs.
[0101] ④Personalized verification
[0102] After the automatic generation model of personalized paper pattern of women's jumpsuit is established, by changing the corresponding user parameters as shown in Table 3, the corresponding personalized jumpsuit samples with different looseness are generated. Figure 7 As shown. In order to verify the rationality of the parametric sample and evaluate the wearing effect of the jumpsuit with different looseness generated by the parameter method, the clothing sample generated by the parametric structure model of the jumpsuit is virtually stitched based on the CLO3D virtual modeling software to verify the appearance of the personalized jumpsuit sample with different looseness, and then analyze its pressure, evaluate the comfort of the clothing, and help users understand the size and style that suits them more accurately. The model used in CLO3D is still the personalized human model converted and generated in step (2).
[0103] Table 3: User parameters
[0104] User size Original parameters Personalized parameters 1 Personalized parameters 2 Personalized parameters 3 Chest / cm 88.52 92.00 96.00 100.00 Waist circumference / cm 69.50 72.00 74.00 76.00 Hips / cm 96.96 100.0. 104.00 108.00 Back length / cm 38.40 39.00 39.00 39.50 Shoulder width / cm 39.00 39.00 39.00 39.00 Crotch length / cm 20.40 20.40 21.40 21.40 Height / cm 166.20 166.20 168.0 168.0 .
[0105] The virtual fitting effects of jumpsuits with three different sets of personalized looseness parameters based on original parameters are shown below. Fig. 9 As shown in the figure, the fabric properties are set to the default fabric with a thickness of 0.5mm. By comparing the front, back and side effects of wearing, it can be observed that the personalized jumpsuit has a suitable amount of looseness, a flat surface without looseness, and the curvature of the sample curve can perfectly fit the human body curve. In addition, from the semi-transparent fitting effect diagram of the fabric, it can be seen that the gap between the clothing and the human body is consistent with the personalized looseness debugging parameter settings, and the looseness distribution of various parts of the human body is reasonable. Users can choose the jumpsuit that suits their own looseness according to their own body feeling and preferences.
[0106] according to Figure 8 Pressure value table and Fig. 9 From the color analysis of the pressure display of virtual clothing, the pressure values of various personalized jumpsuits are within the range of 12Kpa to 16Kpa. The pressure is reasonable and the distribution is relatively uniform, which meets the requirements of people's daily wear.
[0107] In summary, it can be proved that the parametric pattern generation method based on the three-dimensional concept can achieve a high degree of fit for fitted clothing. It is different from the parametric clothing pattern generation method that changes several sets of parameters based on the middle size. Instead, it establishes a basic pattern of jumpsuit pants based on the user's own body characteristics, ensuring a high degree of fit while being highly personalized. In addition, the parametric method can quickly generate a variety of clothing patterns with different ranges of looseness for users to choose from, meeting the user's requirements for body feel and comfort.
[0108] After the above-mentioned model for automatically generating personalized paper patterns of women's jumpsuits is established, personalized jumpsuit samples with different looseness are generated by changing the corresponding user parameters. Based on the CLO3D virtual modeling software, the clothing samples generated by the parametric structural model of the jumpsuits are virtually stitched to verify the appearance effects of personalized jumpsuit samples with different looseness, and then analyze their pressure, evaluate the comfort of clothing, and help users understand the size and style that suits them more accurately. The verification results show that the parametric pattern generation method based on the three-dimensional concept can achieve a high fit effect for fitted clothing, which is different from the parametric clothing pattern generation method that changes several groups of parameters based on the middle size. Instead, it establishes a basic pattern of jumpsuits based on the user's own body characteristics, ensuring a high fit and being highly personalized. In addition, the clothing pattern generation method proposed in the present invention can quickly generate a variety of clothing samples with different looseness ranges for users to choose from, meeting the user's requirements for body feeling and comfort.
[0109] The above-mentioned embodiments only express several feasible implementation methods of the present invention, and the description is relatively specific and detailed, but it cannot be understood as limiting the scope of the patent of the present invention, and the embodiments are not used to limit the scope of protection in the claims of the present invention. For ordinary technicians in this field, several modifications and improvements can be made without departing from the concept of the present invention, and all equivalent implementations or changes that do not depart from the present invention should be included in the technology of the present invention.
Claims
1. A method for quickly generating a three-dimensional to two-dimensional fitted garment pattern, characterized in that: Here are the steps: Step 1: Scanning to obtain three-dimensional scanning data of the object to be customized and obtain a three-dimensional model of the object to be customized; Step 2: Convert the 3D model into a 3D virtual model through virtual fitting software; Step 3, obtaining a 3D clothing basic model from a 3D virtual model; Step 4: Establish a parametric structural model; Step 5: Generate 2D clothing pattern.
2. The method for quickly generating a three-dimensional to two-dimensional fitted garment pattern according to claim 1, characterized in that: In step one, the point cloud processing software Geomagic Wrap is used to fill holes, reconstruct meshes, and smooth the scanned surface. The resulting digitized human body uses the layer cutting method to obtain the characteristic curves of the key parts of the digitized object to be customized. The size of the object to be customized is further measured to obtain accurate data, and the three-dimensional model is completed based on this.
3. The method for quickly generating a three-dimensional to two-dimensional fitted garment pattern according to claim 1, characterized in that: In step 2, the virtual fitting software uses CLO3D software, and the three-dimensional model is imported into the CLO3D software to perform free conversion of the virtual model to obtain a three-dimensional virtual model.
4. The method for quickly generating a three-dimensional to two-dimensional fitted garment pattern according to claim 1, characterized in that: In step three, with the help of the 3D pen tool in the CLO 3D software, 3D clothing is drawn on the surface of the converted 3D virtual model to obtain a 3D clothing basic model.
5. The method for quickly generating a three-dimensional to two-dimensional fitted garment pattern according to claim 1, characterized in that: In step 4, with the help of the parameter constraint function of Auto CAD software, a clothing parametric constraint model is constructed, the looseness parameters are designed as variables for adjusting the looseness of clothing, and a parametric structural model is established.
6. The method for quickly generating a three-dimensional to two-dimensional fitted garment pattern according to claim 1, characterized in that: In step five, a 2D garment pattern is generated according to the principle of mass-spring algorithm.
7. The method for quickly generating a three-dimensional to two-dimensional fitted garment pattern according to claim 6, characterized in that: In the model obtained by the spring-mass algorithm principle, both the 2D plate and the 3D clothing are discretized into a spring-mass system composed of regular triangular meshes. The vertices of the mesh are masses, the edges are springs, and there are n masses. The position of each mass is L i (where i = 1, 2, ..., n), the pair of masses connected by the spring is (i, j), and the natural length of the spring is L ij , the spring constant is k, P i and P j Represents the mass m i and m j The position vector of 1) For the connected mass pair (i, j), the force F generated by the spring is ij Calculated using Hooke's law: In this way, the forces on particles i and j are: 2) The equation of motion of the particle is described by Newton's second law: Among them, m i is the mass of particle i, d represents the distance between two particles, and t is the time variable; 3) Calculate the force on each particle and update the position of the particle to satisfy: Δt is the time interval, update speed V i satisfy: 4) Convergence check: As the system iterates, after the model converges, if the maximum displacement of all particles is less than the specified threshold, the model is considered to have reached equilibrium and the algorithm is stopped; 5) After the convergence check, the results are output to obtain the positions of each particle in the grid of the 2D garment pattern.
8. A method for quickly generating a three-dimensional to two-dimensional fitted garment pattern according to any one of claims 1 to 7, characterized in that: The object to be customized is a jumpsuit, and the parametric structure model of the jumpsuit includes: 1) analyzing the 3D clothing basic model curve and translating it into appropriate arcs and spline curves; 2) analyzing the characteristic parameters of the 3D clothing basic model and setting relevant parameter constraint marking diagrams; 3) importing the 3D clothing basic model into Auto CAD in DXF format; 4) using parameter constraints, parameter constraint tools and parametric expressions to establish the parametric structure model of the jumpsuit.
9. The method for quickly generating a three-dimensional to two-dimensional fitted garment pattern according to claim 8, characterized in that: Parameter constraints use geometric constraints and / or size constraints. According to the structure diagram of the jumpsuit, the straight part uses X+Δa for size constraints, where X represents the direct variables of the clothing sample, such as height, waist circumference, chest circumference and other parameters, and Δa represents the variable for detail adjustment of certain parts of the sample; then, according to the state of the straight line, the constraint is a vertical or horizontal geometric constraint; the arc part uses unit arcs, double arcs and triple arcs for constraints. The unit arc is geometrically constrained by determining the center point and radius, and the double arc and triple arc are geometrically and size constrained by determining the tangent point and arc radius as well as the starting point and end point.
10. The method for quickly generating a three-dimensional to two-dimensional fitted garment pattern according to claim 8, characterized in that: In step 4), First, the positional relationship between the objects in the graphic is defined through geometric constraints, and the length, angle or radius between the objects in the graphic is assigned through dimension constraints or dimension constraints are performed using function expressions; Secondly, the positional relationship of the graphic segments is identified through the automatic constraint program and the graphic position is constrained by itself; Finally, digital mapping is performed in conjunction with drawing tools; When modifying the initial data, geometric constraints, dimension constraints, and automatic constraints enable the original graphics to change quickly and simultaneously, facilitating the standard and instantaneous automatic generation of garment patterns.
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