Three-dimensional quantification method for draping form of fabric

Abstract

The invention discloses a fabric draping form three-dimensional quantification method, and belongs to the technical field of fabric draping form quantification, and the method comprises the steps: carrying out the three-dimensional scanning of a fabric sample, constructing a draping three-dimensional model of the fabric sample, determining the maximum dissectable distance of the draping three-dimensional model, selecting the sectioning step length, and calculating the number of sectioning layers. Determining the number of horizontal section cutting planes parallel to the horizontal reference plane, and dividing the three-dimensional suspension model into a plurality of suspension sub-models along the positive direction of the normal axis; calculating an orthogonal projection area and an orthogonal projection contour perimeter of each suspension sub-model on a horizontal reference plane according to the coordinates of all surface vertexes of each suspension sub-model, and further calculating a layered suspension index of each suspension sub-model; and taking the arithmetic mean value of the layered drape indexes of the drape sub-models as a drape index for quantifying the drape form of the fabric sample. According to the method, the problems of dimension deficiency and insufficient quantization precision in the prior art can be solved, and fine quantization of the drape form is realized.

Description

Technical Field

[0001] The invention relates to a three-dimensional quantification method for fabric drape form, and belongs to the technical field of fabric drape form quantification. Background Art

[0002] Fabric drape is a core indicator that measures the natural drooping of a fabric under gravity. It directly impacts the aesthetics of clothing, the draping effect of decorative fabrics, and the morphological stability of industrial fabrics. It quantifies the spatial deformation characteristics of a fabric in the absence of external forces, reflecting physical properties such as softness and drape stiffness. It is a key parameter in textile product design and quality evaluation.

[0003] The current mainstream evaluation metric is represented by the drape coefficient, which calculates the ratio of the drape area to the original area using a two-dimensional projection image. This metric has fundamental flaws: it lacks dimensional information and can only reflect the planar projection area, failing to capture three-dimensional spatial features such as wrinkle depth and surface curvature. This can lead to different drape forms being misjudged as having identical performance. It also loses dynamic information, failing to record the deformation trajectory of the fabric from a flat state to a stable drape state, making it difficult to correlate mechanical properties. It also has poor environmental immunity and is easily affected by lighting and lens distortion, resulting in low measurement data stability.

[0004] Existing technologies (such as the fabric drape tester control system with a timing device disclosed in Chinese Patent Publication No. CN213517141U and the adjustable clamping structure in a fabric drape measuring instrument disclosed in Chinese Patent Publication No. CN209495975U) attempt to optimize the testing process but fail to overcome the inherent limitations of two-dimensional projection. These technologies merely improve operational efficiency through automation (such as single-chip microcomputer control and mechanical structure adjustment), ultimately outputting an area-based drape coefficient. They fail to address core issues such as three-dimensional morphology quantification and dynamic process analysis, and are merely partial improvements within traditional methods. Summary of the Invention

[0005] The purpose of the present invention is to provide a three-dimensional quantification method for fabric drape morphology, which can solve the problems of missing dimensions and insufficient quantification accuracy in the existing technology and achieve fine quantification of drape morphology.

[0006] In order to achieve the above object, the present invention provides the following technical solutions: In a first aspect, the present invention provides a three-dimensional quantification method for fabric drape morphology, comprising: Perform multi-angle 3D scanning on the fabric sample placed on the drape tester to construct a 3D drape model of the fabric sample; Define the horizontal reference plane of the overhanging 3D model and the positive direction of the normal axis of the horizontal reference plane, determine the maximum sectionable distance of the overhanging 3D model, and select the sectioning step size based on the maximum sectionable distance of the overhanging 3D model; The number of sectioning layers is calculated according to the sectioning step length, and the number of horizontal sectioning planes parallel to the horizontal reference plane is determined. The overhanging three-dimensional model is divided into a number of overhanging sub-models along the positive direction of the normal axis through the horizontal sectioning planes; Get the coordinates of all surface vertices of each overhang sub-model; Calculate the orthogonal projection area and orthogonal projection contour perimeter of each overhang sub-model on the horizontal reference plane according to the coordinates of all surface vertices of each overhang sub-model; Calculate the layered drape index of each drape sub-model according to the orthogonal projection area and orthogonal projection contour perimeter of each drape sub-model on the horizontal reference plane; The arithmetic mean of the layered drape index of each drape sub-model is taken as the overall drape index of the fabric sample, and the drape morphology of the fabric sample is quantified by the overall drape index of the fabric sample.

[0007] In combination with the first aspect, further, performing multi-angle three-dimensional scanning on the fabric sample placed on the drape tester to construct a drape three-dimensional model of the fabric sample includes: A 3D scanner is used to perform multi-angle 3D scanning on the fabric sample placed on the drape tester to construct an initial drape 3D model of the fabric sample; The initial drape 3D model is de-noised, hole-filled and non-manifold edge cleaned by reverse engineering technology to obtain the drape 3D model of the fabric sample.

[0008] In combination with the first aspect, further defining a horizontal reference plane of the overhanging three-dimensional model and a positive direction of a normal axis of the horizontal reference plane, determining a maximum sectionable distance of the overhanging three-dimensional model, and selecting a sectioning step size based on the maximum sectionable distance of the overhanging three-dimensional model includes: The spatial rectangular coordinate system of the drape three-dimensional model is constructed by reverse engineering technology, the center of the fabric sample is defined as the coordinate origin, and the plane where the circular area of ​​the fabric sample is fixed by the clamping plate of the drape tester is defined as the horizontal reference plane, that is, Axis and The normal axis of the horizontal reference plane is defined as Axis, defines the draping direction of the fabric sample as The positive direction of the axis; The vertical distance between the horizontal plane that is parallel to the horizontal reference plane, intersecting with the overhanging 3D model and forming the largest area and completely surrounding the continuous outline of the overhanging 3D model and the horizontal reference plane is taken as the maximum sectionable distance; The cutting step length is selected according to the maximum cutting distance of the overhanging three-dimensional model. ,in, represents the maximum dissectable distance, Indicates rounding down.

[0009] Combined with the first aspect, further, the calculation formula for the number of slice layers is: ; in, Indicates the number of cutting layers, that is, the number of horizontal cutting planes, that is, the number of overhanging sub-models. represents the cutting step length, represents the maximum dissectable distance, Indicates rounding down; The overhanging 3D model is aligned with the horizontal reference plane. The part held by the horizontal section is the A hanging sub-model.

[0010] In combination with the first aspect, further, obtaining the coordinates of all surface vertices of each overhang sub-model includes: extracting the coordinates of all surface vertices of the triangular mesh of each overhang sub-model by reverse engineering technology.

[0011] In combination with the first aspect, further, calculating the orthogonal projection area and orthogonal projection contour perimeter of each overhang sub-model on the horizontal reference plane according to the coordinates of all surface vertices of each overhang sub-model includes: Calculate the radial distances from all surface vertices of each overhang sub-model to the origin according to the coordinates of all surface vertices of each overhang sub-model on the horizontal reference plane; All surface vertices of each drape sub-model are filtered according to the radial distance from all surface vertices of each drape sub-model to the origin and the radius of the fabric sample to obtain the valid point set of each drape sub-model; use The shape algorithm performs envelope calculation on the effective point set of each overhang sub-model, constructs the projection contour polygon of each overhang sub-model, and uses The shape algorithm extracts the outline of the projection contour polygon of each overhang sub-model and calculates the orthogonal projection area and orthogonal projection contour perimeter of each overhang sub-model on the horizontal reference plane.

[0012] Combined with the first aspect, further, the calculation formula of the radial distance from all surface vertices of each overhang sub-model to the origin is: ; in, Indicates the The first The radial distance from the surface vertex to the origin, 、 Respectively represent The first of surface vertices Axis coordinates, Axis coordinates.

[0013] In combination with the first aspect, further, all surface vertices of each drape sub-model are filtered according to the radial distances of all surface vertices of each drape sub-model to the origin and the radius of the fabric sample to obtain the valid point set of each drape sub-model, including: for each drape sub-model, surface vertices whose radial distance to the origin is less than or equal to the radius of the fabric sample are screened as valid points, and all valid points together constitute the valid point set.

[0014] Combined with the first aspect, further, Shape Algorithm The parameters are adaptively determined according to the density of the effective point set of each overhang sub-model.

[0015] Combined with the first aspect, further, the calculation formula of the layered drape index of each drape sub-model is: ; in, Indicates the The layered drape index of the drape sub-model, Indicates the The orthogonal projection area of ​​the overhanging sub-model on the horizontal reference plane, Indicates the The perimeter of the orthogonal projection of the overhanging sub-model on the horizontal reference plane; The calculation formula for the overall drape index of a fabric sample is: ; in, Represents the overall drape index of the fabric sample, Indicates the number of overhanging sub-models.

[0016] In a second aspect, the present invention provides a three-dimensional quantification device for fabric drape, comprising: A model building module is used to perform multi-angle three-dimensional scanning on a fabric sample placed on a drape tester to build a drape three-dimensional model of the fabric sample; The sub-model division module is used to define the horizontal reference plane of the overhanging 3D model and the positive direction of the normal axis of the horizontal reference plane, determine the maximum sectionable distance of the overhanging 3D model, and select the sectioning step size based on the maximum sectionable distance of the overhanging 3D model; calculate the number of sectioning layers based on the sectioning step size, determine the number of horizontal sectioning planes parallel to the horizontal reference plane, and divide the overhanging 3D model into a number of overhanging sub-models along the positive direction of the normal axis through the horizontal sectioning planes; The three-dimensional quantification module of the drape morphology is used to obtain the coordinates of all surface vertices of each drape sub-model; calculate the orthogonal projection area and orthogonal projection contour perimeter of each drape sub-model on the horizontal reference plane based on the coordinates of all surface vertices of each drape sub-model; calculate the layered drape index of each drape sub-model based on the orthogonal projection area and orthogonal projection contour perimeter of each drape sub-model on the horizontal reference plane; take the arithmetic mean of the layered drape indices of each drape sub-model as the overall drape index of the fabric sample, and quantify the drape morphology of the fabric sample through the overall drape index of the fabric sample.

[0017] In a third aspect, the present invention provides a computer device, comprising: Storage medium for storing computer programs; A processor is used to execute the computer program to implement the three-dimensional quantification method of fabric drape morphology described in the first aspect.

[0018] In a fourth aspect, the present invention provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the three-dimensional quantification method for fabric drape morphology described in the first aspect.

[0019] In a fifth aspect, the present invention provides a computer program product, comprising a computer program, which, when executed by a processor, implements the three-dimensional quantification method of fabric drape morphology according to the first aspect.

[0020] Compared with the prior art, the present invention has the following beneficial effects: The three-dimensional quantification method for fabric drape morphology provided by this invention fully preserves the three-dimensional information of fabric drape morphology through techniques such as three-dimensional scanning, layered sectioning, and layered drape index analysis. Specifically, by capturing the drape morphology at different heights through layered sectioning, it can accurately distinguish details such as the depth and distribution density of fabric folds. The overall drape index comprehensively reflects the "roundness" of the fabric's projected contour, significantly improving its sensitivity to fabric drape uniformity compared to traditional drape coefficients and achieving higher quantification accuracy. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 This is a flow chart of a three-dimensional quantification method for fabric drape morphology provided by an embodiment of the present invention; Figure 2 This is a schematic diagram of a layered cross-section of a three-dimensional overhang model provided by an embodiment of the present invention; Figure 3 3 is a schematic diagram of the projection outline and parameters of the overhang sub-model provided by an embodiment of the present invention, wherein (a) to (h) correspond to the 1st to 8th overhang sub-models respectively. DETAILED DESCRIPTION

[0022] The technical solution of the present invention will be further described in detail below in conjunction with specific implementation methods.

[0023] The following describes embodiments of the present invention in detail. Examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention and are not to be construed as limiting the present invention. The embodiments of the present invention and the technical features in the embodiments may be combined with each other unless there is a conflict.

[0024] An embodiment of the present invention provides a three-dimensional quantification method for fabric drape morphology, comprising: Perform multi-angle 3D scanning on the fabric sample placed on the drape tester to construct a 3D drape model of the fabric sample; Define the horizontal reference plane of the overhanging 3D model and the positive direction of the normal axis of the horizontal reference plane, determine the maximum sectionable distance of the overhanging 3D model, and select the sectioning step size based on the maximum sectionable distance of the overhanging 3D model; The number of sectioning layers is calculated according to the sectioning step length, and the number of horizontal sectioning planes parallel to the horizontal reference plane is determined. The overhanging three-dimensional model is divided into a number of overhanging sub-models along the positive direction of the normal axis through the horizontal sectioning planes; Get the coordinates of all surface vertices of each overhang sub-model; Calculate the orthogonal projection area and orthogonal projection contour perimeter of each overhang sub-model on the horizontal reference plane according to the coordinates of all surface vertices of each overhang sub-model; Calculate the layered drape index of each drape sub-model according to the orthogonal projection area and orthogonal projection contour perimeter of each drape sub-model on the horizontal reference plane; The arithmetic mean of the layered drape index of each drape sub-model is taken as the overall drape index of the fabric sample, and the drape morphology of the fabric sample is quantified by the overall drape index of the fabric sample.

[0025] The three-dimensional fabric drape morphology quantification method provided by the embodiments of the present invention achieves refined quantification of fabric drape morphology through three-dimensional scanning, layered sectioning, and layered drape index analysis, providing a more reliable basis for fabric performance evaluation. Furthermore, the three-dimensional fabric drape morphology quantification method provided by the embodiments of the present invention offers excellent test stability, and all steps are based on digital models and algorithms, reducing human error. This method is highly repeatable and suitable for automated testing systems, effectively overcoming the limitations of traditional two-dimensional evaluation methods.

[0026] Figure 1 This is a flow chart of a three-dimensional quantification method for fabric drape form provided by an embodiment of the present invention. This flow chart only shows the logical sequence of the method of this embodiment. Under the premise of no conflict, different methods can be used. Figure 1 The steps shown or described are accomplished in the order shown.

[0027] The three-dimensional quantification method of fabric drape form provided in an embodiment of the present invention can be applied to a terminal and can be executed by a three-dimensional quantification device of fabric drape form, which can be implemented by software and / or hardware. The device can be integrated into a terminal, for example: any tablet computer or computer device with communication function.

[0028] In this embodiment, a multi-angle three-dimensional scanning is performed on a fabric sample placed on a drape tester to construct a drape three-dimensional model of the fabric sample, specifically comprising the following steps: Step 1: Use a 3D scanner to perform multi-angle 3D scanning on the fabric sample placed on the drape tester to construct an initial drape 3D model of the fabric sample; Specifically, a circular fabric sample with a diameter of 240mm, cut within 100mm of the edge, is conditioned in a standard environment (temperature 18°C ​​to 22°C, relative humidity 61% to 69%). Reflective marking dots with diameters of 6mm to 10mm are evenly affixed to the surface, with spacing of 30mm to 50mm between each dot. The fabric sample is secured to the drape tester's clamping plate, which has a diameter of 120mm, through a positioning hole (1mm in diameter) at the center of the circle to ensure a natural drape. A 3D scanner is used to perform multi-angle 3D scans of the fabric sample placed on the drape tester. The scan results are exported using 3D scanning data processing software to construct an initial 3D drape model of the fabric sample.

[0029] Step 2: De-noising, hole filling and non-manifold edge cleaning are performed on the initial drape 3D model through reverse engineering technology to obtain a closed drape 3D model of the fabric sample.

[0030] In this embodiment, the following steps are involved in defining the horizontal reference plane of the overhanging 3D model and the positive direction of the normal axis of the horizontal reference plane, determining the maximum sectionable distance of the overhanging 3D model, and selecting the sectioning step size based on the maximum sectionable distance of the overhanging 3D model: Step 1: Use reverse engineering technology to construct the spatial rectangular coordinate system of the drape three-dimensional model, define the center of the fabric sample as the coordinate origin, and define the plane where the circular area of ​​the fabric sample is fixed by the clamping plate of the drape tester as the horizontal reference plane, that is, Axis and The normal axis of the horizontal reference plane is defined as Axis, defines the draping direction of the fabric sample as The positive direction of the axis; Step 2: The vertical distance between the horizontal plane that is parallel to the horizontal reference plane, intersects with the overhanging 3D model, forms the largest area, and completely surrounds the continuous contour of the overhanging 3D model and the horizontal reference plane is taken as the maximum sectionable distance; Step 3: Select the cutting step length according to the maximum cutting distance of the overhanging 3D model. , the unit is mm, where Indicates the maximum dissectable distance in mm. Indicates rounding down.

[0031] Specifically, The smaller it is, the higher the sampling density of the fabric drape surface morphological characteristics and the higher the quantification accuracy.

[0032] In this embodiment, the calculation formula for the number of slice layers is: ; in, Indicates the number of cutting layers, that is, the number of horizontal cutting planes, that is, the number of overhanging sub-models.

[0033] In this embodiment, the suspended three-dimensional model is The part held by the horizontal section is the A hanging sub-model.

[0034] Specifically, set in the reverse engineering software Create horizontal section planes parallel to the horizontal reference plane and set the position of each horizontal section plane.

[0035] Define the horizontal datum as , No. The horizontal section is ,along The positive direction of the axis is from the horizontal reference plane to the maximum sectionable distance, and the horizontal reference plane is aligned with the first The overhanging 3D model part sandwiched between the horizontal cutting planes is used as the first The pendant model, The overhang sub-model only contains the overhang 3D model. The height interval in the positive direction of the axis is The part inside does not include the geometric structure formed by the horizontal cutting plane itself.

[0036] In this embodiment, obtaining the coordinates of all surface vertices of each overhang sub-model specifically includes: extracting the coordinates of all surface vertices of the triangular mesh of each overhang sub-model by reverse engineering technology.

[0037] Specifically, the coordinates of all surface vertices of the triangular mesh of each overhanging sub-model are extracted by reverse engineering software, and the coordinates of all surface vertices of the triangular mesh of each overhanging sub-model are exported as a structured text file, with the data format storing one surface vertex per line. Axis coordinates, Axis coordinates, Axis coordinates, parse the structured text file in the data processing software, and construct dimensional surface vertex coordinate matrix, where Indicates the The number of surface vertices of the overhanging sub-model.

[0038] In this embodiment, calculating the orthogonal projection area and orthogonal projection contour perimeter of each overhang sub-model on the horizontal reference plane based on the coordinates of all surface vertices of each overhang sub-model specifically includes the following steps: Step 1: Calculate the radial distances from all surface vertices of each overhang sub-model to the origin based on the coordinates of all surface vertices of each overhang sub-model on the horizontal reference plane; Specifically, read The surface vertex coordinate matrix of the overhanging sub-model and extract the The surface vertex coordinate matrix of all surface vertices in the overhang sub-model Axis coordinates, Axis coordinates, forming the A two-dimensional point set of a dangling submodel ,in, 、 、…、 Respectively represent The 1st, 2nd, ..., of surface vertices Axis coordinates, Axis coordinates. The surface vertex coordinate matrix of all surface vertices in the overhang sub-model Axis coordinates, Axis coordinates, calculate the The radial distance from each surface vertex of the overhang sub-model to the origin.

[0039] In this embodiment, The calculation formula for the radial distance from each surface vertex to the origin of a hanging sub-model is: ; in, Indicates the The first The radial distance from the surface vertex to the origin, in mm, 、 Respectively represent The first of surface vertices Axis coordinates, Axis coordinates.

[0040] Step 2: Filter all surface vertices of each drape sub-model according to the radial distance from all surface vertices of each drape sub-model to the origin and the radius of the fabric sample to obtain the valid point set of each drape sub-model; In this embodiment, all surface vertices of each drape sub-model are filtered according to the radial distances from all surface vertices of each drape sub-model to the origin and the radius of the fabric sample, and the valid point set of each drape sub-model is obtained. Specifically, for each drape sub-model, the surface vertices whose radial distance to the origin is less than or equal to the radius of the fabric sample are filtered as valid points, and all valid points together constitute the valid point set.

[0041] Specifically, for the The overhang sub-model will satisfy The surface vertices of are filtered out, and the remaining surface vertices together constitute a valid point set, where Indicates the radius of the fabric specimen.

[0042] In this embodiment, the radius of the fabric sample is 120 mm.

[0043] Step 3: Exploitation The shape algorithm performs envelope calculation on the effective point set of each overhang sub-model, constructs the projection contour polygon of each overhang sub-model, and uses The shape algorithm extracts the outline of the projection contour polygon of each overhang sub-model and calculates the orthogonal projection area and orthogonal projection contour perimeter of each overhang sub-model on the horizontal reference plane.

[0044] In this embodiment, Shape Algorithm The parameters are adaptively determined according to the density of the effective point set of each overhang sub-model.

[0045] Specifically, Shape Algorithm The parameter value range is 0.2 to 1.2.

[0046] use The area attribute of the shape algorithm calculates the orthogonal projection area of ​​each overhanging sub-model on the horizontal reference plane, using The length property of the shape algorithm calculates the perimeter of the orthogonal projection of each overhang sub-model onto the horizontal reference plane.

[0047] In this embodiment, the calculation formula of the layered drape index of each drape sub-model is: ; in, Indicates the The layered drape index of the drape sub-model, Indicates the The orthogonal projection area of ​​the overhanging sub-model on the horizontal reference plane, in mm 2 , Indicates the The perimeter of the orthogonal projection of the overhanging sub-model on the horizontal reference plane, in mm.

[0048] The calculation formula for the overall drape index of a fabric sample is: ; in, Indicates the overall drape index of the fabric sample.

[0049] The three-dimensional quantification method for fabric drape morphology provided by an embodiment of the present invention is used to perform three-dimensional quantification of the drape morphology of two typical fabric samples.

[0050] Two typical fabric samples are: Fabric A: Bamboo fabric (100% bamboo fiber), weight 147g / m², representing traditional natural fiber fabric; Fabric B: blended fabric (20% polyester, 69% rayon, 11% nylon), weight 136g / m², represents a common functional composite fabric.

[0051] For each fabric, three independent samples (all with a uniform circular size of 240 mm in diameter) were taken for repeatability experiments to ensure that the samples were free of damage and wrinkles, and samples were taken within 100 mm from the edge of the fabric.

[0052] The three independent samples of fabric A are numbered A1, A2, and A3, and the three independent samples of fabric B are numbered B1, B2, and B3.

[0053] All samples were equilibrated in a standard environment for 24 hours before testing. Reflective marking dots with an inner diameter of 6mm and an outer diameter of 10mm were evenly pasted on the surface, and the spacing between each reflective marking dot was 30mm to 50mm.

[0054] The sample is fixed on the clamping plate of the drape tester through the positioning hole to ensure that the sample drapes naturally. Then, a 3D scanner is used to scan the sample at multiple angles. After denoising, hole filling and non-manifold edge cleaning, a closed drape 3D model of the sample is obtained.

[0055] like Figure 2 As shown, a spatial rectangular coordinate system is established by reverse engineering software, the maximum sectioning distance is set to 40 mm, the sectioning step is set to 5 mm, and the number of sectioning layers is determined to be 8 (i.e., 8 overhanging sub-models), and the corresponding horizontal sectioning plane positions are 、 、 、 、 、 、 、 , the coverage height intervals are 、 、 、 、 、 、 、 The projection profiles and parameters of the 8 overhang sub-models are as follows: Figure 3 As shown, Figure 3 Presents the orthogonal projection results of the overhanging sub-model divided by different horizontal cutting planes on the horizontal reference plane. Figure 3 In the figure, the purple filled area is the range corresponding to the projection area, the red contour line is the boundary of the projection contour perimeter, (a) to (h) correspond to the 1st to 8th overhang sub-models respectively. to Respectively represent the orthogonal projection areas of the 1st to 8th overhang sub-models on the horizontal reference plane, to Respectively represent the orthogonal projection contour perimeters of the 1st to 8th overhang sub-models on the horizontal reference plane, to Represent the hierarchical drape index of the 1st to 8th drape sub-models respectively.

[0056] use The area property of the shape algorithm calculates the orthogonal projection area of ​​the 8 overhanging sub-models on the horizontal reference plane, using The length attribute of the shape algorithm calculates the perimeter of the orthogonal projection of the 8 overhanging sub-models on the horizontal reference plane. Shape Algorithm The parameter is adaptively set to 0.8 according to the density of the effective point set of each overhang sub-model.

[0057] The layered drape index of the eight drape sub-models is calculated based on their orthogonal projection areas and orthogonal projection contour perimeters on the horizontal reference plane. The calculation results are shown in Table 1.

[0058] Table 1: Calculation results of the layered drape index of fabric A and fabric B at different heights

[0059] The arithmetic mean of the eight layered drape indices of each sample was calculated as the overall drape index of the fabric. The calculation results are shown in Table 2.

[0060] Table 2: Calculation results of the overall drape index of fabric A and fabric B

[0061] As shown in Table 2, the average overall drape index for the three samples of fabric A was 0.7323, while the average overall drape index for the three samples of fabric B was 0.6325. Further statistical parameters were calculated: the standard deviation for fabric A was 0.0092, with a coefficient of variation of 1.26%; the standard deviation for fabric B was 0.0113, with a coefficient of variation of 1.79%. The coefficients of variation for both fabrics were ≤1.3%, and the ranges were ≤0.05, demonstrating the high stability and repeatability of the three-dimensional quantification method for fabric drape morphology provided by the present invention.

[0062] The three-dimensional quantification method for fabric drape morphology provided by the embodiment of the present invention achieves high-precision quantification of fabric drape properties through three-dimensional grid layered analysis and morphological analysis. Specifically, through drape three-dimensional model sectioning, projection contour quantification and layered drape index analysis, holographic analysis and precise evaluation of drape morphology are achieved, breaking through the limitations of traditional methods and meeting the needs of high-precision testing in the textile industry. It not only provides a new theoretical framework for revealing the drape mechanism of fabrics, but also provides a quantifiable, predictable and engineered subversive evaluation system for the research and development of new textile materials, such as dynamic deformation threshold control, and clothing process adaptation, such as joint motion compatibility optimization, promoting the transformation of the textile industry from empirical evaluation to data-driven precision evaluation.

[0063] An embodiment of the present invention provides a three-dimensional quantification device for fabric drape, comprising: A model building module is used to perform multi-angle three-dimensional scanning on a fabric sample placed on a drape tester to build a drape three-dimensional model of the fabric sample; The sub-model division module is used to define the horizontal reference plane of the overhanging 3D model and the positive direction of the normal axis of the horizontal reference plane, determine the maximum sectionable distance of the overhanging 3D model, and select the sectioning step size based on the maximum sectionable distance of the overhanging 3D model; calculate the number of sectioning layers based on the sectioning step size, determine the number of horizontal sectioning planes parallel to the horizontal reference plane, and divide the overhanging 3D model into a number of overhanging sub-models along the positive direction of the normal axis through the horizontal sectioning planes; The three-dimensional quantification module of the drape morphology is used to obtain the coordinates of all surface vertices of each drape sub-model; calculate the orthogonal projection area and orthogonal projection contour perimeter of each drape sub-model on the horizontal reference plane based on the coordinates of all surface vertices of each drape sub-model; calculate the layered drape index of each drape sub-model based on the orthogonal projection area and orthogonal projection contour perimeter of each drape sub-model on the horizontal reference plane; take the arithmetic mean of the layered drape indices of each drape sub-model as the drape index of the fabric sample, and quantify the drape morphology of the fabric sample through the drape index of the fabric sample.

[0064] The three-dimensional quantification device for fabric drape form provided by the embodiment of the present invention can execute the three-dimensional quantification method for fabric drape form provided by the embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method.

[0065] An embodiment of the present invention provides a computer device, including: Storage medium for storing computer programs; The processor is used to execute a computer program to implement the three-dimensional quantification method of fabric drape form provided by an embodiment of the present invention.

[0066] An embodiment of the present invention provides a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the three-dimensional quantification method for fabric drape form provided by the embodiment of the present invention is implemented.

[0067] This embodiment provides a computer program product, including a computer program. When the computer program is executed by a processor, the three-dimensional quantification method of fabric drape form provided by the embodiment of the present invention is implemented.

[0068] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Thus, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROMs, optical storage, etc.) containing computer-usable program code.

[0069] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowcharts and / or block diagrams, as well as combinations of processes and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowcharts and / or block diagrams. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0070] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0071] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 The steps for the function specified in one or more boxes.

[0072] The above are only preferred embodiments of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the technical principles of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A three-dimensional quantification method for fabric drape morphology, characterized in that: include: Perform multi-angle 3D scanning on the fabric sample placed on the drape tester to construct a 3D drape model of the fabric sample; Define the horizontal reference plane of the overhanging 3D model and the positive direction of the normal axis of the horizontal reference plane, determine the maximum sectionable distance of the overhanging 3D model, and select the sectioning step size based on the maximum sectionable distance of the overhanging 3D model; The number of sectioning layers is calculated according to the sectioning step length, and the number of horizontal sectioning planes parallel to the horizontal reference plane is determined. The overhanging three-dimensional model is divided into a number of overhanging sub-models along the positive direction of the normal axis through the horizontal sectioning planes; Get the coordinates of all surface vertices of each overhang sub-model; Calculate the orthogonal projection area and orthogonal projection contour perimeter of each overhang sub-model on the horizontal reference plane according to the coordinates of all surface vertices of each overhang sub-model; Calculate the layered drape index of each drape sub-model according to the orthogonal projection area and orthogonal projection contour perimeter of each drape sub-model on the horizontal reference plane; The arithmetic mean of the layered drape index of each drape sub-model is taken as the overall drape index of the fabric sample, and the drape morphology of the fabric sample is quantified by the overall drape index of the fabric sample.

2. The three-dimensional quantification method of fabric drape morphology according to claim 1, characterized in that: Perform multi-angle 3D scanning on the fabric sample placed on the drape tester to construct a 3D drape model of the fabric sample, including: A 3D scanner is used to perform multi-angle 3D scanning on the fabric sample placed on the drape tester to construct an initial drape 3D model of the fabric sample; The initial drape 3D model is de-noised, hole-filled and non-manifold edge cleaned by reverse engineering technology to obtain the drape 3D model of the fabric sample.

3. The three-dimensional quantification method of fabric drape morphology according to claim 1, characterized in that: Define the horizontal reference plane of the overhanging 3D model and the positive direction of the normal axis of the horizontal reference plane, determine the maximum sectioning distance of the overhanging 3D model, and select the sectioning step size based on the maximum sectioning distance of the overhanging 3D model. The spatial rectangular coordinate system of the drape three-dimensional model is constructed by reverse engineering technology, the center of the fabric sample is defined as the coordinate origin, and the plane where the circular area of ​​the fabric sample is fixed by the clamping plate of the drape tester is defined as the horizontal reference plane, that is, Axis and The normal axis of the horizontal reference plane is defined as Axis, defines the draping direction of the fabric sample as The positive direction of the axis; The vertical distance between the horizontal plane that is parallel to the horizontal reference plane, intersecting with the overhanging 3D model and forming the largest area and completely surrounding the continuous outline of the overhanging 3D model and the horizontal reference plane is taken as the maximum sectionable distance; The cutting step length is selected according to the maximum cutting distance of the overhanging three-dimensional model. ,in, represents the maximum dissectable distance, Indicates rounding down.

4. The three-dimensional quantification method of fabric drape morphology according to claim 1, characterized in that: The calculation formula for the number of slice layers is: ； in, Indicates the number of cutting layers, that is, the number of horizontal cutting planes, that is, the number of overhanging sub-models. represents the cutting step length, represents the maximum dissectable distance, Indicates rounding down; The overhanging 3D model is aligned with the horizontal reference plane. The part held by the horizontal section is the A hanging sub-model.

5. The three-dimensional quantification method of fabric drape morphology according to claim 1, characterized in that: Acquiring the coordinates of all surface vertices of each overhang sub-model includes: extracting the coordinates of all surface vertices of the triangular mesh of each overhang sub-model by reverse engineering technology.

6. The three-dimensional quantification method of fabric drape morphology according to claim 1, characterized in that: Calculating the orthogonal projection area and orthogonal projection contour perimeter of each overhang sub-model on the horizontal reference plane based on the coordinates of all surface vertices of each overhang sub-model includes: Calculate the radial distances from all surface vertices of each overhang sub-model to the origin according to the coordinates of all surface vertices of each overhang sub-model on the horizontal reference plane; All surface vertices of each drape sub-model are filtered according to the radial distance from all surface vertices of each drape sub-model to the origin and the radius of the fabric sample to obtain the valid point set of each drape sub-model; use The shape algorithm performs envelope calculation on the effective point set of each overhang sub-model, constructs the projection contour polygon of each overhang sub-model, and uses The shape algorithm extracts the outline of the projection contour polygon of each overhang sub-model and calculates the orthogonal projection area and orthogonal projection contour perimeter of each overhang sub-model on the horizontal reference plane.

7. The three-dimensional quantification method of fabric drape morphology according to claim 6, characterized in that: The calculation formula for the radial distance from all surface vertices of each overhang sub-model to the origin is: ； in, Indicates the The first The radial distance from the surface vertex to the origin, 、 Respectively represent The first of surface vertices Axis coordinates, Axis coordinates.

8. The three-dimensional quantification method of fabric drape morphology according to claim 6, characterized in that: All surface vertices of each drape submodel are filtered according to the radial distances from all surface vertices of each drape submodel to the origin and the radius of the fabric sample to obtain the valid point set of each drape submodel. The method includes: for each drape submodel, the surface vertices whose radial distance to the origin is less than or equal to the radius of the fabric sample are filtered as valid points, and all valid points together constitute the valid point set.

9. The three-dimensional quantification method of fabric drape morphology according to claim 6, characterized in that: Shape Algorithm The parameters are adaptively determined according to the density of the effective point set of each overhang sub-model.

10. The three-dimensional quantification method of fabric drape morphology according to claim 1, characterized in that: The calculation formula of the layered drape index of each drape sub-model is: ； in, Indicates the The layered drape index of the drape submodel, Indicates the The orthogonal projection area of ​​the overhanging sub-model on the horizontal reference plane, Indicates the The perimeter of the orthogonal projection of the overhanging sub-model on the horizontal reference plane; The calculation formula for the overall drape index of a fabric sample is: ； in, Represents the overall drape index of the fabric sample, Indicates the number of overhanging sub-models.

Images