Digital wrinkled costume design system and garment virtual imaging setting thereof

Abstract

The invention discloses a digital pleated costume design system and garment virtual imaging setting thereof, and relates to the technical field of pleated costume design, and the digital pleated costume design system comprises a standard body type modeling module, a pleat design module, a body type data adaptation module, a common action library module and a virtual imaging display module. According to the invention, real body shape data is imported through the body shape data adaptation module, and the model and wrinkle parameter adjustment of the initial wrinkle clothing model is automatically completed in combination with the preset model adaptation algorithm, so that manual modification by a designer is not needed, and the customization adaptation efficiency is remarkably improved; meanwhile, the wrinkle form is adjusted in combination with the fabric attribute parameters in the adaptation process, it is ensured that the customized wrinkle garment still conforms to the original design intention, the customization precision is improved, a user can check the fitting degree, wrinkle distribution and other effects of the garment on the body shape in advance, and the user experience is improved. The problem that the wearing effect is not consistent due to the difference between the standard body shape design and the individual body shape is avoided, and the difference between the buyer show and the seller show is greatly reduced.

Description

Technical Field

[0001] This invention relates to the field of pleated garment design technology, specifically to a digital pleated garment design system and its virtual imaging settings for finished garments. Background Technology

[0002] Pleats are an important element in clothing design, enhancing the artistry and personalization of garments. However, the existing design and production processes for pleated clothing suffer from the following pain points: existing digital clothing design systems are mostly based on standard body types. When customizing for consumers with different body types, designers need to manually adjust the pattern and pleat shape, resulting in low adaptation efficiency and poor consistency of the adjusted effect. This can lead to a huge gap between the buyer's photos and the seller's photos, affecting the consumer's purchasing experience. Furthermore, in existing technologies, virtual imaging of clothing mostly only displays the static wearing effect. However, the shape of pleats in pleated clothing changes significantly with human movement during human activity. Existing systems cannot simulate and display the pleat effect under different movement states in advance, making it difficult for consumers to predict the suitability of clothing in daily activities and increasing the cost of trying on and adjusting clothing after production. Summary of the Invention

[0003] The purpose of this invention is to provide a digital pleated clothing design system and its virtual imaging settings for finished garments, in order to solve the problems mentioned in the background art.

[0004] To achieve the above objectives, the present invention provides the following technical solution: a digital pleated clothing design system, comprising a standard body modeling module, a pleated design module, a body data adaptation module, a common motion library module, and a virtual imaging display module; The standard body modeling module is used to build standardized virtual human body models. These virtual human body models have editable human body structure parameters and support fitted modeling of pleated clothing. The pleat design module is mounted on the virtual human body model constructed by the standard body modeling module. It is used by designers to complete the digital design of the style, fabric parameters and pleat shape of pleated clothing, and generate an initial digital model of pleated clothing. The body shape data adaptation module is used to import body shape and size data of different individuals in reality. Based on the preset pattern adaptation algorithm, it automatically adjusts the pattern size, pleat distribution density and pleat extension parameters of the initial pleated clothing digital model to generate a customized pleated clothing digital model that adapts to the target body shape. The common motion library module pre-stores standard motion data for daily human activities, including motion posture parameters, joint range of motion, and motion trajectory. The virtual imaging display module is communicatively connected to the body shape data adaptation module and the common action library module, respectively. It is used to load the customized pleated clothing digital model into the virtual human body model of the corresponding body shape, and drive the virtual human body model to perform the standard actions in the common action library module to generate static and dynamic virtual imaging effects of the garment.

[0005] Furthermore, the virtual human body model constructed by the standard body modeling module covers the three-dimensional structural data of key parts of the human body, including the head, neck, torso, limbs and joints, and supports parametric adjustments based on anthropometry standards.

[0006] Furthermore, the pleat design module includes a fabric attribute editing unit and a pleat shape design unit; the fabric attribute editing unit is used to set the elastic coefficient, thickness, drape and wrinkle resistance parameters of the fabric; the pleat shape design unit supports three design modes: manually drawing pleats, template calling pleats and parametric generation of pleats, and the generated pleat shape is associated with the fabric attribute parameters.

[0007] Furthermore, the body shape data adaptation module includes a data import unit and a parameter adaptation unit; the data import unit supports the import of body shape data in multiple formats, including 3D scan data, 2D size measurement data, and standard body shape coding data; the pattern adaptation algorithm built into the parameter adaptation unit is based on the pattern structure of the initial pleated garment digital model, and combines the size differences between the target body shape and the standard body shape to adaptively adjust the garment length, bust, waist, hip circumference, and the wrinkle initiation point and wrinkle depth of key parts of the garment.

[0008] Furthermore, the specific process of the pattern adaptation algorithm in the body shape data adaptation module is as follows: The dimensional differences between the target body shape and the standard body shape at key locations are calculated using the following model: in, For the first Dimensional differences of key components For the target body type The dimensions of key components For standard body type Dimensions of key components; Based on the size difference, the basic pattern of the initial digital model of the pleated garment is adjusted proportionally or non-proportionally. The pattern adjustment model is as follows: in, For the first The scaling factor for key areas is adjusted proportionally, with separate correction factors set for areas requiring a high degree of fit, such as the waist and hips. The corrected scaling factor is: This ensures a good fit between the clothing and the body; Based on fabric property parameters and size differences, adjust the distribution density, depth, and extension direction of the pleats to ensure that the pleat shape still conforms to the original design intent after customization. The formula for adjusting the pleat distribution density is as follows: The formula for adjusting wrinkle depth is: in Adjusted fold distribution density, Initial fold distribution density, The adjusted fold depth This represents the initial fold depth.

[0009] Furthermore, the commonly used motion library module pre-stores standard motions including standing, walking, sitting, raising arms, bending over, and squatting, and supports the expansion and updating of motion data; the motion data also includes force parameters of various parts of the human body under different motion states, used to simulate the shape changes of wrinkled clothing under force.

[0010] Furthermore, the virtual imaging display module includes a static imaging unit and a dynamic imaging unit; the static imaging unit is used to display the imaging effects of the customized pleated clothing in the static pose of the virtual human body, including the front, side, back, and details; the dynamic imaging unit is used to generate continuous frame imaging of the virtual human body when performing common actions, forming a dynamic video, and supports magnifying the pleat shape of key action frames.

[0011] A virtual imaging setup for garments, which is applied to the aforementioned digital pleated garment design system, includes the following steps: S1: Construct a standard virtual human body model using the standard body modeling module and determine the basic human body structure parameters of the model; S2: Designers use the pleat design module to complete the digital design of pleated clothing on a standard virtual human body model, set fabric properties and pleat shape parameters, and generate an initial digital model of pleated clothing. S3: Import the target user's body size data through the body data adaptation module, call the pattern adaptation algorithm to automatically adapt and adjust the initial pleated clothing digital model, and generate a customized pleated clothing digital model. S4: The virtual imaging display module loads a customized digital model of pleated clothing onto a virtual human body model of the corresponding body type to generate a static imaging effect; S5: Call the target action data from the common action library module, drive the virtual human body model to perform the corresponding action, and the virtual imaging display module generates dynamic imaging effects in real time to complete the virtual imaging display of the garment.

[0012] Furthermore, in step S5, after the dynamic imaging effect is generated, users can also adjust the motion speed, display angle, and detail magnification ratio.

[0013] This invention provides a digital pleated garment design system and its virtual imaging settings for finished garments, which have the following beneficial effects: 1. The digital pleated clothing design system and its virtual imaging settings for finished garments import real-world body shape data through a body shape data adaptation module. Combined with a preset pattern adaptation algorithm, it automatically adjusts the pattern and pleat parameters of the initial pleated clothing model without requiring manual modifications by designers, significantly improving customization efficiency and reducing their workload. Simultaneously, during the adaptation process, it adjusts the pleat shape based on fabric attribute parameters to ensure that the customized pleated clothing still conforms to the original design intent, improving customization accuracy. Furthermore, it generates customized clothing models based on the target user's real body shape data and presents the static wearing effect through a virtual imaging display module. Users can preview the fit and pleat distribution of the clothing on their own body shape, avoiding discrepancies between standard body shape designs and individual body shape differences, significantly reducing the gap between buyer and seller photos and enhancing the user's purchasing experience.

[0014] 2. The digital pleated clothing design system and its virtual imaging settings for finished garments introduce a commonly used motion library module to simulate the changes in pleated shape during daily movements of users with different body types wearing pleated clothing. The dynamic imaging effect provides an intuitive display, allowing users and designers to predict the suitability of the clothing during activities in advance. This avoids problems such as pleat accumulation and stretching deformation caused by movements, and reduces the cost of fitting and adjusting the clothing after production. Attached Figure Description

[0015] Figure 1 This is a schematic diagram illustrating the steps involved in setting up virtual imaging for garments according to the present invention. Detailed Implementation

[0016] The embodiments of the present invention will be described in further detail below with reference to the accompanying drawings and examples. The following examples are for illustrative purposes only and should not be construed as limiting the scope of the invention.

[0017] like Figure 1 As shown, a digital pleated clothing design system includes a standard body modeling module, a pleated design module, a body data adaptation module, a common motion library module, and a virtual imaging display module. A standard body modeling module is used to construct standardized virtual human body models. These models possess editable human structural parameters and support conformal modeling of pleated clothing. The virtual human body models are based on anthropometry standards and are constructed using a parametric human body modeling Blend-Shape model. The model expression is as follows: in For the final generated virtual human body model, Based on the human body template model, It is a vector of human body structural parameters (including key dimensional parameters such as height, chest circumference, and waist circumference). For the first The values ​​of each structural parameter, For the first The basic model deformation increment corresponds to each structural parameter; the model covers the three-dimensional structural data of key parts such as the head, neck, torso, limbs and joints, ensuring consistency with the real human body structure; the pleat design module, mounted on the virtual human body model constructed by the standard body modeling module, is used by designers to complete the digital design of the style, fabric parameters and pleat shape of pleated clothing, and generate an initial digital model of pleated clothing; the pleat design module includes a fabric attribute editing unit and a pleat shape design unit. The fabric attribute editing unit can set key parameters such as the elastic coefficient, thickness, drape and wrinkle resistance of the fabric, which will directly affect the shape change of the pleats; the pleat shape design unit supports three design modes, namely manual pleat drawing (the designer draws pleat lines on the clothing digital model using hand-drawing tools), template pleat calling (the system has built-in a variety of classic pleat templates, which the designer can directly call and adjust), and parametric pleat generation (the system automatically generates pleat shape by setting parameters such as the pleat initiation point, depth, and spacing), and the generated pleat shape is linked to the fabric attribute parameters in real time to ensure the realism of the design; The body shape data adaptation module is used to import body shape and size data of different individuals in reality. Based on a preset pattern adaptation algorithm, it automatically adjusts the pattern size, pleat distribution density, and pleat extension parameters of the initial pleated garment digital model to generate a customized pleated garment digital model adapted to the target body shape. The body shape data adaptation module includes a data import unit and a parameter adaptation unit. The data import unit supports the import of body shape data in various formats, including 3D point cloud data obtained by 3D scanning equipment, manually measured 2D size data (such as chest circumference, waist circumference, hip circumference, shoulder width, etc.), and industry standard body shape coding data, improving the compatibility of data import. The core logic of the pattern adaptation algorithm built into the parameter adaptation unit is as follows: First, the size difference between the target body shape and the standard body shape at various key parts is calculated through a size difference calculation model. The size difference calculation model is as follows: in, For the first Dimensional differences of key components For the target body type The dimensions of key components For standard body type The dimensions of key parts are then used; based on the size differences, the basic pattern of the initial digital model of the pleated garment is adjusted proportionally or non-proportionally using a pattern scaling model. The pattern adjustment model is as follows: in, For the first The scaling factor for key areas is adjusted proportionally, with separate correction factors set for areas requiring a high degree of fit, such as the waist and hips. The corrected scaling factor is: This ensures a good fit between the clothing and the body; Finally, the pleat parameter adjustment model adjusts the pleat distribution density, depth, and extension direction based on fabric attribute parameters and size differences. The formula for adjusting pleat distribution density is as follows: The formula for adjusting wrinkle depth is: in Adjusted fold distribution density, Initial fold distribution density, The adjusted fold depth The initial pleat depth is set as follows: For example, for areas with large size differences, the pleat distribution density can be appropriately reduced using the above formula to avoid pleat accumulation affecting the wearing effect and to ensure that the pleat shape still meets the original design intention after customization; the commonly used motion library module pre-stores standard motion data of daily human activities. The standard motion data includes motion posture parameters, joint range of motion, motion trajectory, and force parameters of various parts of the human body under different motion states; the pre-stored standard motions include high-frequency daily motions such as standing, walking, sitting, raising arms, bending over, and squatting, and also supports designers or users to expand and update motion data according to their needs; the force parameters are used to simulate the changes in pleat shape caused by the stretching and compression of the human body during the movement of pleated clothing, improving the realism of the simulation effect; The virtual imaging display module is communicatively connected to the body shape data adaptation module and the common action library module. It is used to load the customized pleated clothing digital model into the corresponding virtual human body model and drive the virtual human body model to perform standard actions in the common action library module, generating static and dynamic virtual imaging effects of the garment. The virtual imaging display module includes a static imaging unit and a dynamic imaging unit. The static imaging unit can display the imaging effects of the customized pleated clothing in the front, side, back, and details such as the collar, cuffs, and hem of the virtual human body in a static posture, and supports high-definition magnification. The dynamic imaging unit can generate continuous frame imaging when the virtual human body performs common actions, forming a smooth dynamic video. It supports adjustment of the action speed (such as slow motion, fast motion), display angle, and detail magnification ratio, so that users can clearly observe the changes in pleats under different action states. The virtual imaging setup for garments based on the above system includes the following steps: S1: Construct a standard virtual human body model through the standard body modeling module, determine the basic human body structure parameters of the model, and ensure that the model conforms to anthropometry standards; S2: Designers use the pleat design module to complete the digital design of pleated clothing on a standard virtual human body model, set fabric properties (such as elastic coefficient, thickness, drape) and pleat shape parameters (such as wrinkle initiation point, depth, spacing) to generate an initial digital model of pleated clothing. S3: Import the target user's body size data through the body shape data adaptation module, and call the pattern adaptation algorithm to automatically adapt and adjust the initial pleated garment digital model, generating a customized pleated garment digital model; the specific adjustment process is as follows: S31 calculates the dimensional differences between the target body shape and the standard body shape at key locations; S32 adjusts the basic pattern of the initial digital model of the pleated garment proportionally or non-proportionally based on the size difference. S33 adjusts the distribution density, depth, and extension direction of pleats based on fabric attribute parameters and size differences; S4: The virtual imaging display module loads the customized digital model of the pleated clothing onto the corresponding virtual human body model to generate a static imaging effect, allowing users to view the static wearing details of the clothing. S5: Calls target action data (such as walking, raising an arm) from the common action library module, drives the virtual human body model to perform the corresponding action, and the virtual imaging display module generates dynamic imaging effects in real time based on the action data and force parameters to form a dynamic video; users can adjust the action speed, display angle and detail magnification ratio to complete the virtual imaging display of the garment.

[0018] Example 1: Standard Body Modeling Module: Based on GB / T1335.1-2008 "Clothing Sizes for Men" and GB / T1335.2-2008 "Clothing Sizes for Women", a standard virtual human body model is constructed, covering different standard sizes for men and women (such as men 175 / 92A and women 165 / 84A). The model contains three-dimensional structural data of more than 200 key parts such as head, neck, torso, limbs and joints. It supports adjusting the size of each part through parameter editing to ensure consistency with the real human body structure. The pleat design module includes a fabric attribute editing unit that supports setting parameters for common fabrics such as cotton, linen, silk, and synthetic fibers, including elasticity (range 0.1-0.9), thickness (range 0.1-5mm), drape (range 1-10), and wrinkle resistance (range 1-5). The pleat shape design unit provides hand-drawing tools (supporting pencil, curve, and other drawing modes), over 100 classic pleat templates (such as natural pleats, pressed pleats, and live pleats), and a parametric settings interface (allowing setting of pleat initiation coordinates and pleat depth from 0.5-5cm). (Spacing 1-10cm) The designer selected a standard female virtual human body model of 165 / 84A, set the fabric to mulberry silk (elasticity coefficient 0.3, thickness 0.8mm, drape level 8, wrinkle resistance level 2), and generated natural folds at the chest through parametric settings to create an initial digital model of a pleated dress; Body shape data adaptation module: The data import unit imports the target user's body shape data (female, bust 90cm, waist 72cm, hip 95cm, corresponding to the standard body shape 165 / 84A size difference through...) The calculations yielded: bust +6cm, waist -2cm, hips +11cm; the parameter adaptation unit invoked the pattern adaptation algorithm, first obtaining the size differences of each key part based on the above size difference calculation model, and then calculating the scaling factor of each part through the pattern scaling model: bust scaling factor. Waist scaling factor Hip circumference scaling factor A correction coefficient is set for the lower back and hip area. The corrected scaling factors are respectively , Based on this, the initial dress pattern was adjusted non-proportionally: the bust area was expanded by 6cm, the waist area was reduced by 2cm, and the hip area was expanded by 11cm. Simultaneously, the adjustment parameters for the bust folds were calculated using a fold parameter adjustment model: initial fold distribution density... After adjustment Initial fold depth After adjustment Generates a customized digital model of a pleated dress adapted to the target user's body shape; Common motion library module: Pre-stores data for 6 standard motions: standing, walking, sitting, raising arms, bending over, and squatting. Among them, the joint range of motion for walking is: hip flexion 30°, knee flexion 25°, and ankle dorsiflexion 15°, and the force parameters are: 20N force on the front of the thigh and 15N force on the back of the thigh; It also supports users to add "turning" motion data, supplementing the corresponding posture parameters, joint angles, and force parameters; Virtual Imaging Display Module: The static imaging unit generates high-definition images of the front, side, and back of the customized dress in the standing posture of the virtual human body of the target body shape, and magnifies to show the details of the folds on the chest; the dynamic imaging unit calls the walking motion data to drive the virtual human body to perform walking motions and generate a 10-second dynamic video, which supports slow motion at 2x to view the stretching and drooping changes of the folds as the walking motions.

[0019] Example 2: Providing a virtual garment imaging setup based on the above system, the specific steps are as follows: S1: Construct a standard virtual human body model of a male with a height of 180 / 96A using the standard body modeling module, and determine the basic human body structure parameters of the model, including height of 180cm, chest circumference of 96cm, waist circumference of 82cm, hip circumference of 98cm, etc. S2: The designer designs a men's pleated shirt on the standard virtual human body model using the pleat design module. The fabric is set to cotton-linen blend (elasticity coefficient 0.2, thickness 1.2mm, drape level 6, wrinkle resistance level 3). The designer selects the "shoulder pleat" template through template call, adjusts the number of pleats to 4 and the depth to 2cm, and generates the initial digital model of the pleated shirt. S3: Import the target user's body shape data (male, height 182cm, chest 102cm, waist 85cm, hip 103cm) through the body shape data adaptation module, and call the pattern adaptation algorithm for adjustment: S31 Calculate the size difference: height +2cm, chest +6cm, waist +3cm, hip +5cm; S32 Adjust the initial shirt pattern, increasing the length by 2cm, expanding the chest by 6cm, expanding the waist by 3cm, expanding the hip by 5cm, and increasing the shoulder width by 1cm; S33 Based on the properties of the cotton-linen blend fabric, adjust the depth of the shoulder pleats to 2.2cm to ensure a natural pleat shape; generate a customized pleated shirt digital model; S4: The virtual imaging display module loads a customized shirt onto the target body shape virtual human model, generates static images of the front, side, and back in a standing posture, and magnifies the details of the shoulder pleats. S5: Call the "raising hand" action data (shoulder joint flexion 90°, elbow joint extension, shoulder force 25N) from the common action library module, drive the virtual human body to perform the raising hand action, the virtual imaging display module generates a 5-second dynamic video, adjust the playback speed to slow motion 1.5 times, magnify and display the stretching effect of the shoulder pleats when raising the hand, and complete the virtual imaging display of the garment.

[0020] Based on the above description, this invention imports real-world body shape data through a body shape data adaptation module and, combined with a preset pattern adaptation algorithm, automatically adjusts the pattern and pleat parameters of the initial pleated clothing model. This eliminates the need for manual modifications by designers, significantly improving customization efficiency and reducing their workload. Simultaneously, the pleat shape is adjusted based on fabric attribute parameters during the adaptation process, ensuring that the customized pleated clothing still conforms to the original design intent, thus improving customization accuracy. Furthermore, a customized clothing model is generated based on the target user's real body shape data, and a static wearing effect is presented through a virtual imaging display module. Users can preview the fit, pleat distribution, and other effects of the clothing on their own body shape, avoiding discrepancies between standard body shape design and individual body shape differences. This significantly reduces the gap between buyer's and seller's photos, enhancing the user's purchasing experience. This invention introduces a common motion library module to simulate the changes in the shape of folds in daily movements of users with different body types wearing folded clothing. The dynamic imaging effect provides an intuitive display, allowing users and designers to predict the suitability of the clothing during activities in advance. This avoids problems such as fold accumulation and stretching deformation caused by movements, and reduces the cost of fitting and adjusting the clothing after production.

[0021] The embodiments of the present invention are given for illustrative and descriptive purposes only, and are not intended to be exhaustive or to limit the invention to the forms disclosed. Many modifications and variations will be apparent to those skilled in the art. The embodiments were chosen and described in order to better illustrate the principles and practical application of the invention, and to enable those skilled in the art to understand the invention and to design various embodiments with various modifications suitable for a particular purpose.

Claims

1. A digital pleated garment design system, characterized in that, It includes a standard body modeling module, a wrinkle design module, a body data adaptation module, a common motion library module, and a virtual imaging display module; The standard body modeling module is used to build standardized virtual human body models. These virtual human body models have editable human body structure parameters and support fitted modeling of pleated clothing. The pleat design module is mounted on the virtual human body model constructed by the standard body modeling module. It is used by designers to complete the digital design of the style, fabric parameters and pleat shape of pleated clothing, and generate an initial digital model of pleated clothing. The body shape data adaptation module is used to import body shape and size data of different individuals in reality. Based on the preset pattern adaptation algorithm, it automatically adjusts the pattern size, pleat distribution density and pleat extension parameters of the initial pleated clothing digital model to generate a customized pleated clothing digital model that adapts to the target body shape. The common motion library module pre-stores standard motion data for daily human activities, including motion posture parameters, joint range of motion, and motion trajectory. The virtual imaging display module is communicatively connected to the body shape data adaptation module and the common action library module, respectively. It is used to load the customized pleated clothing digital model into the virtual human body model of the corresponding body shape, and drive the virtual human body model to perform the standard actions in the common action library module to generate static and dynamic virtual imaging effects of the garment.

2. The digital pleated garment design system according to claim 1, characterized in that, The virtual human body model constructed by the standard body modeling module covers the three-dimensional structural data of key parts of the human body, including the head, neck, torso, limbs and joints, and supports parametric adjustments based on anthropometry standards.

3. The digital pleated garment design system according to claim 1, characterized in that, The pleat design module includes a fabric attribute editing unit and a pleat shape design unit. The fabric attribute editing unit is used to set the elastic coefficient, thickness, drape, and wrinkle resistance parameters of the fabric. The pleat shape design unit supports three design modes: manual pleat drawing, template-based pleat calling, and parametric pleat generation. The generated pleat shape is associated with the fabric attribute parameters.

4. The digital pleated garment design system according to claim 1, characterized in that, The body shape data adaptation module includes a data import unit and a parameter adaptation unit. The data import unit supports the import of body shape data in multiple formats, including 3D scan data, 2D size measurement data, and standard body shape coding data. The pattern adaptation algorithm built into the parameter adaptation unit is based on the pattern structure of the initial pleated garment digital model. It combines the size differences between the target body shape and the standard body shape to adaptively adjust the garment length, bust, waist, hip circumference, and the wrinkle initiation point and wrinkle depth of key parts of the garment.

5. The digital pleated garment design system according to claim 1, characterized in that, The specific process of the pattern adaptation algorithm in the body shape data adaptation module is as follows: The dimensional differences between the target body shape and the standard body shape at key locations are calculated using the following model: in, For the first Dimensional differences of key components For the target body type The dimensions of key components For standard body type Dimensions of key components; Based on the size difference, the basic pattern of the initial digital model of the pleated garment is adjusted proportionally or non-proportionally. The pattern adjustment model is as follows: in, For the first The scaling factor for key areas is adjusted proportionally, with separate correction factors set for areas requiring a high degree of fit, such as the waist and hips. The corrected scaling factor is: This ensures a good fit between the clothing and the body; Based on fabric property parameters and size differences, adjust the distribution density, depth, and extension direction of the pleats to ensure that the pleat shape still conforms to the original design intent after customization. The formula for adjusting the pleat distribution density is as follows: The formula for adjusting fold depth is: in Adjusted fold distribution density, Initial fold distribution density, The adjusted fold depth This represents the initial fold depth.

6. The digital pleated garment design system according to claim 1, characterized in that, The commonly used motion library module pre-stores standard motions including standing, walking, sitting, raising arms, bending over, and squatting, and supports the expansion and updating of motion data; the motion data also includes force parameters of various parts of the human body under different motion states, used to simulate the shape changes of wrinkled clothing under force.

7. The digital pleated garment design system according to claim 1, characterized in that, The virtual imaging display module includes a static imaging unit and a dynamic imaging unit. The static imaging unit is used to display the imaging effects of customized pleated clothing in the front, side, back and details of the virtual human body in a static pose. The dynamic imaging unit is used to generate continuous frame imaging of the virtual human body when performing common actions, forming a dynamic video, and supports magnifying the pleat shape of key action frames.

8. A virtual imaging setup for garments, which is applied to the digital pleated garment design system according to any one of claims 1-7, characterized in that, The virtual imaging setup for garments includes the following steps: S1: Construct a standard virtual human body model using the standard body modeling module and determine the basic human body structure parameters of the model; S2: Designers use the pleat design module to complete the digital design of pleated clothing on a standard virtual human body model, set fabric properties and pleat shape parameters, and generate an initial digital model of pleated clothing. S3: Import the target user's body size data through the body data adaptation module, call the pattern adaptation algorithm to automatically adapt and adjust the initial pleated clothing digital model, and generate a customized pleated clothing digital model. S4: The virtual imaging display module loads a customized digital model of pleated clothing onto a virtual human body model of the corresponding body type to generate a static imaging effect; S5: Call the target action data from the common action library module, drive the virtual human body model to perform the corresponding action, and the virtual imaging display module generates dynamic imaging effects in real time to complete the virtual imaging display of the garment.

9. A virtual imaging setup for garments according to claim 8, characterized in that, In step S5, after the dynamic imaging effect is generated, users can also adjust the motion speed, display angle, and detail magnification ratio.

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