WO2024216693A1 - 一种服装衣下空间尺寸量化方法及系统 - Google Patents

一种服装衣下空间尺寸量化方法及系统 Download PDF

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WO2024216693A1
WO2024216693A1 PCT/CN2023/094490 CN2023094490W WO2024216693A1 WO 2024216693 A1 WO2024216693 A1 WO 2024216693A1 CN 2023094490 W CN2023094490 W CN 2023094490W WO 2024216693 A1 WO2024216693 A1 WO 2024216693A1
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clothing
human body
cross
thickness
air layer
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French (fr)
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何佳臻
彭燕飞
卢业虎
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Suzhou University
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Suzhou University
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    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T17/00—Three-dimensional [3D] modelling for computer graphics
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/60—Analysis of geometric attributes
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10004—Still image; Photographic image
    • G06T2207/10012—Stereo images
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30196—Human being; Person
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/30—Computing systems specially adapted for manufacturing

Definitions

  • the invention relates to a method and a system for quantifying the size of a garment under-clothing space, and belongs to the technical field of garment size quantification.
  • the size of the space under the clothing is also an important factor affecting the fit of clothing.
  • the larger the size of the space under the clothing the greater the distance between the clothing and the human body, and the looser the clothing.
  • the size of the space under the clothing is also very important for the heat and moisture transfer between clothing and the environment, which will affect the thermal and moisture comfort and thermal protective clothing of the clothing. Therefore, the quantification of the size of the space under the clothing between the clothing and the human body is of great significance for the judgment of clothing fit and the study of the mechanism of heat and moisture transfer of clothing.
  • the size of the space under clothing is mainly characterized by the thickness of the air layer under clothing, and is measured using the "section method point selection" method.
  • the existing method for quantifying the air layer under clothing based on clothing and human body cross-sections mainly uses three-dimensional scanning technology to obtain naked and dressed human body models, and then aligns the cross-section of the entire clothing or a certain part, and uses the distance between a discrete point on the clothing contour line of the cross-section and the human body to characterize the thickness of the air layer under clothing in the corresponding cross-section.
  • the accuracy of this method depends on whether the position of the discrete points is representative, and it cannot truly represent the thickness of the air layer in the cross-section corresponding to the closed curve formed by the discrete points.
  • the thickness of the air layer in a cross-section is to be quantified, a set of discrete points must be established with the help of the vector method, and the average distance between the set of discrete points on the clothing contour line and the human body is used to characterize the average thickness of the air layer under clothing in the cross-section.
  • this method requires a lot of discrete point data, and its accuracy depends on The number of discrete points is small, and the discrete points cannot fully represent the continuous contour of clothing. Therefore, it is necessary to establish a quantitative method for the thickness of the air layer under clothing to truly and effectively reflect the thickness of the air layer under clothing between clothing and the human body.
  • the purpose of the present invention is to provide a method and system for quantifying the size of the space under clothing, which can solve the problem that the existing "cross-section point selection" method cannot reflect the continuity of the cross-sectional contours of real clothing and human bodies and the amount of discrete point set data selected is huge.
  • the present invention provides the following technical solutions:
  • the present invention provides a method for quantifying the size of a space under a garment, comprising:
  • a circular ruler for measuring the thickness of the air layer under the clothing is constructed
  • the thickness of the air layer under the clothing is calculated and obtained, so as to realize the quantification of the size of the space under the clothing.
  • constructing a clothing-human cross-section graph according to the pre-acquired three-dimensional human body model and the dressed human body model includes:
  • a human body part is selected, a measurement cross section of the measurement model is obtained, and a clothing-human body cross section graph is formed by the clothing contour line and the human body contour line in the measurement cross section.
  • the circular scale for the thickness of the lower air layer includes:
  • obtaining the weight of the ring scale measurement area includes:
  • wi is the weight of the i-th layer circular scale measurement area ki
  • L is the total length of the clothing contour line
  • li is the distribution length of the clothing contour line in the i-th layer circular scale measurement area ki .
  • d i is the thickness of the air layer corresponding to the i-th ring scale measurement area k i .
  • the i-th layer annular scale measurement area k i is an annular area formed by the i-th layer annular scale and the (i-1)-th layer annular scale.
  • D is the thickness of the air layer under the clothing corresponding to the clothing-human cross-section graph.
  • the present invention provides a system for quantifying the size of the space under clothing, comprising:
  • Input terminal used to input the pre-acquired three-dimensional human body model and the dressed human body model, construct the acquired clothing-human body cross-sectional graph, and construct the acquired annular ruler for measuring the thickness of the air layer under the clothing according to the clothing-human body cross-sectional graph;
  • Image processing module used for extracting data from the clothing-human cross-section graph
  • Data processing module used to record, store and call the data extracted by the image processing module
  • Output end used to output the air layer thickness under the clothes calculated according to the weight of the measurement area of the annular scale and the air layer thickness corresponding to the measurement area, so as to realize the quantification of the space size under the clothes.
  • the present invention has the following beneficial effects:
  • the method for quantifying the size of the space under clothing adopts three-dimensional scanning technology to obtain a clothing-human cross-section figure, and then constructs a circular ruler.
  • the weight calculation is performed according to the distribution of the clothing contour line in each circular ruler measurement area.
  • the method can characterize the continuity of the clothing and the human body contour line, and effectively reflect the thickness of the air layer under the clothing at the cross-section part.
  • FIG1 is a flow chart of a method for quantifying the size of a garment under-clothing space provided by an embodiment of the present invention
  • FIG2 is a schematic diagram of a clothing-human cross-section diagram provided by an embodiment of the present invention.
  • FIG3 is a schematic diagram of a circular scale provided by an embodiment of the present invention.
  • FIG. 4 is a schematic diagram of a system for quantifying the size of the space under clothing provided by an embodiment of the present invention.
  • Embodiment 1 is a diagrammatic representation of Embodiment 1:
  • Figure 1 is a flow chart of a method for quantifying the size of the under-clothing space of a garment provided in Example 1 of the present invention. This flow chart only shows the logical order of the method of this embodiment. Under the premise of no conflict, in other possible embodiments of the present invention, the steps shown or described may be completed in an order different from that shown in Figure 1.
  • the method for quantifying the size of the space under clothing can be applied to a terminal and can be executed by a system for quantifying the size of the space under clothing.
  • the system can be implemented by software and/or hardware.
  • the system can be integrated in a terminal, for example, any tablet computer or computer device with communication function. Referring to FIG1 , the method of this embodiment specifically includes the following steps:
  • Step 1 construct clothing-human cross-section graphics based on the pre-acquired 3D human body model and the dressed human body model;
  • constructing the clothing-human body cross-section graph includes the following steps:
  • Step A Scan the nude model using a 3D scanner to obtain a 3D clean body model of the human body;
  • the three-dimensional net body model of the human body can be obtained by scanning a nude model with a three-dimensional scanner, or by establishing a parametric human body model based on the regularity of human body proportions using three-dimensional modeling software.
  • Step B Select the target clothing, perform 3D scanning of the human body wearing the clothing in the same posture, and obtain a human body model
  • Step C using 3D modeling software, aligning the 3D clean body model and the dressed body model to obtain a measurement model
  • Step D Select a human body part, obtain a measurement cross section of the measurement model, and form a clothing-human cross-section graph with the clothing contour line and the human body contour line in the measurement cross section.
  • the clothing-human cross-section graph is a transverse cross-section graph, and the clothing-human cross-section graph includes both closed human body contour lines and clothing contour lines.
  • Step 2 Based on the clothing-human cross-section graph, a circular ruler is constructed to measure the thickness of the air layer under the clothing;
  • the construction of a circular ruler for measuring the thickness of the air layer under clothing includes the following steps:
  • Step a Import the clothing-body cross-section graphics into the CAD software
  • Step b Taking the human body contour line in the clothing-human body cross-section graph as a reference, perform n equal-spaced expansions according to a preset distance ⁇ d;
  • Step c Ensure that the product of the number of equally spaced expansion times n and the preset distance ⁇ d is greater than or equal to the maximum distance d max between the garment contour line and the human body contour line in the garment-human body cross-section graph, thereby constructing a circular ruler with n layers of ruler rings for measuring the thickness of the air layer under the garment.
  • the center of the circular ruler is kept unchanged. As shown in FIG3 , it is ensured that the nth layer of the circular ruler finally constructed can include all the garment contour lines.
  • the size of the preset distance ⁇ d determines the measurement accuracy. The smaller the preset distance ⁇ d is, the higher the measurement accuracy is. The larger the preset distance ⁇ d is, the lower the measurement accuracy is.
  • Step 3 According to the weight of the circular scale measurement area and the thickness of the air layer corresponding to the measurement area, the thickness of the air layer under the clothes is calculated to achieve the quantification of the size of the space under the clothes;
  • Obtaining the weight of the ring scale measurement area includes the following steps:
  • Step i measuring the total length of the garment outline in the garment-body cross-section figure
  • Step ii measuring the distribution length of the garment contour line in the measurement area of each layer of the circular ruler
  • Step iii Calculate the weight of the circular scale measurement area according to the total length of the clothing outline and the distribution length of the clothing outline in each layer of the circular scale measurement area.
  • wi is the weight of the i-th layer circular scale measurement area ki
  • L is the total length of the clothing contour line
  • li is the distribution length of the clothing contour line in the i-th layer circular scale measurement area ki .
  • d i is the thickness of the air layer corresponding to the i-th ring scale measurement area k i .
  • the i-th layer circular scale measurement area k i is the annular area formed by the i-th layer circular scale and the (i-1)-th layer circular scale.
  • D is the thickness of the air layer under the clothing corresponding to the clothing-human cross-section graph.
  • the cross-sectional area is selected as the hip circumference
  • the preset distance ⁇ d is selected as 0.5 cm
  • the number of equally spaced expansions n is selected as 9
  • a circular ruler with 9 layers of ruler rings is constructed to obtain the thickness of the air layer under the clothes.
  • the cross-sectional air layer thickness result calculated by the circular ruler constructed by this embodiment is shown in Table 1.
  • the cross-sectional air layer thickness measured in this embodiment is 1.5983cm
  • the cross-sectional air layer thickness measured after 40 points in the "cross-sectional point selection” method is 1.5874cm. It can be seen that the data of the two methods are similar, indicating that this method can effectively measure the thickness of the air layer under the clothing and the human body surface. However, since this method uses the data of the clothing and human body contour lines, it characterizes the continuity of the clothing and human body contour lines; while the "cross-sectional point selection" method uses the data of the point set, its accuracy depends on the number of points. For example, when the number of points is 8, 16, 24, 32 and 40, the average distance is 1.3924cm, 1.5926cm, 1.5017cm, 1.5493cm and 1.5847cm respectively.
  • the method for quantifying the size of the space under clothing uses 3D scanning or 3D modeling to obtain a 3D clean body model of a human body and a dressed human body model of the same posture of the dressed object, and uses 3D modeling software to align the 3D clean body model of the human body and the dressed human body model to obtain a measurement model, and then performs 3D modeling on the measurement model.
  • 3D scanning or 3D modeling uses 3D modeling software to align the 3D clean body model of the human body and the dressed human body model to obtain a measurement model, and then performs 3D modeling on the measurement model.
  • the cross section we can obtain the clothing-body cross section graphics of the required human body parts.
  • graphics processing software we can build a circular ruler, measure the circumference of the clothing cross section and the length within each circular scale, and calculate the thickness of the cross section air layer, so that the cross section air layer measurement is more real and effective, and the calculation is more convenient and quick.
  • Embodiment 2 is a diagrammatic representation of Embodiment 1:
  • This embodiment provides a system for quantifying the size of the space under clothing.
  • the system for quantifying the size of the space under clothing includes an input end, a processor, and an output end.
  • the input end is used to input the pre-acquired three-dimensional human body model and the dressed human body model, construct the acquired clothing-human body cross-sectional graph, and construct the acquired circular ruler for measuring the thickness of the air layer under the clothes according to the clothing-human body cross-sectional graph, including the preset distance ⁇ d of the circular ruler and the number of equally spaced expansions n.
  • the processor comprises an image processing module and a data processing module.
  • the image processing module is used for extracting data from a clothing-human cross-section graph;
  • the data processing module is used for recording, storing and calling the data extracted by the image processing module;
  • the image processing module and the data processing module firstly judge the input graph with numerical values, ensuring that the product of the number of equal-spaced expansion times n and the preset distance ⁇ d is greater than or equal to the maximum distance d max between the clothing contour line and the human body contour line in the clothing-human cross-section graph, so as to ensure that the first layer of the constructed annular ruler can include all the clothing contour lines therein.
  • the output end is used to output the weight of the circular scale measurement area and the air layer thickness corresponding to the measurement area, calculate the thickness of the air layer under the clothes, and realize the quantification of the space size under the clothes.
  • the clothing under-clothing space size quantification system provided by the embodiment of the present invention can execute the clothing under-clothing space size quantification method provided by any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method.
  • the embodiments of the present application can be provided as methods, systems, or computer program products. Therefore, the present application can adopt a complete hardware embodiment, a complete software embodiment, or a combination of hardware and software embodiments. Furthermore, the present application may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes.
  • computer-usable storage media including but not limited to disk storage, CD-ROM, optical storage, etc.
  • 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 a manufactured product including an instruction device that implements the functions specified in one or more processes in the flowchart and/or one or more boxes in the block diagram.
  • These computer program instructions may 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, whereby the instructions executed on the computer or other programmable device provide steps for implementing the functions specified in one or more processes in the flowchart and/or one or more boxes in the block diagram.

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Abstract

本发明公开了一种服装衣下空间尺寸量化方法及系统，属于服装尺寸量化技术领域，方法包括：根据预获取的人体三维净体模型和着装人体模型，构建服装-人体截面图形；根据所述服装-人体截面图形，构建用于测量衣下空气层厚度的环形标尺；根据所述环形标尺度量区域的权重和度量区域对应的空气层厚度，计算获取衣下空气层厚度，实现服装衣下空间尺寸量化。该方法能够解决现有的"截面法取点"法不能反应真实服装及人体截面轮廓的连续性且离散点集合数据选取量庞大的问题。

Description

一种服装衣下空间尺寸量化方法及系统 技术领域
本发明涉及一种服装衣下空间尺寸量化方法及系统，属于服装尺寸量化技术领域。
背景技术
合体性作为影响服装穿着效果的重要因素，一直以来都是消费者判断是否购买服装的重要依据，而服装的衣下空间尺寸又是影响服装合体性的重要因素，衣下空间尺寸越大，服装与人体的间距越大，服装越宽松。除此之外，由于空气是自然界导热系数最小的介质，服装的衣下空间尺寸对于服装与环境间的热湿传递也十分重要，其会影响服装的热湿舒适性、热防护服性等。因此服装与人体间的服装衣下空间尺寸量化对于服装合体性判别、服装热湿传递机理研究均有重要意义。
目前服装的衣下空间尺寸主要采用衣下空气层厚度进行表征，利用“截面法取点”法进行测量。现有的基于服装与人体截面的衣下空气层量化方法主要是利用三维扫描技术获取裸体和着装状态的人体模型，进行对齐处理后通过截取服装整体或某个部位的截面，以该截面服装轮廓线上的某离散点与人体间的距离用于表征对应截面的衣下空气层厚度。然而，这种方式的精度取决于离散点的位置是否具有代表性，它并不能真正代表由离散点形成的封闭曲线所对应的截面的空气层厚度。若要量化截面的空气层厚度则必须借助向量法建立离散点集合，用服装轮廓线上的离散点集合与人体间的平均距离用于表征该截面的衣下空气层平均厚度。然而这种方式所需要的离散点数据非常多，其精度取决 于离散点的数量，且无论如何离散点并不能完全表征连续的服装轮廓线形态。因此，需要建立一种衣下空气层厚度的量化方法，来真实有效地反应服装和人体之间的衣下空气层厚度。
发明内容
本发明的目的在于提供一种服装衣下空间尺寸量化方法及系统，能够解决现有的“截面法取点”法不能反应真实服装及人体截面轮廓的连续性且离散点集合数据选取量庞大的问题。
为达到上述目的，本发明提供如下技术方案：
第一方面，本发明提供一种服装衣下空间尺寸量化方法，包括：
根据预获取的人体三维净体模型和着装人体模型，构建服装-人体截面图形；
根据所述服装-人体截面图形，构建用于测量衣下空气层厚度的环形标尺；
根据所述环形标尺度量区域的权重和度量区域对应的空气层厚度，计算获取衣下空气层厚度，实现服装衣下空间尺寸量化。
结合第一方面，进一步的，根据预获取的人体三维净体模型和着装人体模型，构建服装-人体截面图形包括：
采用三维扫描仪，扫描裸体模特，获取人体三维净体模型；
选定目标服装，进行相同姿势的着装人体三维扫描，获取着装人体模型；
利用三维建模软件，将所述人体三维净体模型和着装人体模型进行对齐，获取测量模型；
选定人体部位，获取所述测量模型的测量横截面，并由所述测量横截面中的服装轮廓线和人体轮廓线共同构成服装-人体截面图形。
结合第一方面，进一步的，根据所述服装-人体截面图形，构建用于测量衣 下空气层厚度的环形标尺包括：
将所述服装-人体截面图形导入CAD软件中；
以所述服装-人体截面图形中的人体轮廓线为基准，按照预设距离Δd进行n次等间距外扩；
确保等间距外扩次数n和预设距离Δd的乘积大于或等于所述服装-人体截面图形中的服装轮廓线和人体轮廓线之间的最大距离dmax，以此构建获取用于测量衣下空气层厚度的具有n层尺环的环形标尺。
结合第一方面，进一步的，获取环形标尺度量区域的权重包括：
测量所述服装-人体截面图形中服装轮廓线的总长度；
测量所述服装轮廓线在各层环形标尺度量区域内的分布长度；
根据所述服装轮廓线的总长度和服装轮廓线在各层环形标尺度量区域内的分布长度，计算获取环形标尺度量区域的权重；
所述环形标尺度量区域的权重的计算公式如公式(1)所示：
公式(1)中，wi为第i层环形标尺度量区域ki的权重，L为服装轮廓线的总长度，li为服装轮廓线在第i层环形标尺度量区域ki内的分布长度。
结合第一方面，进一步的，所述环形标尺度量区域对应的空气层厚度的计算公式如公式(2)所示：
公式(2)中，di为第i层环形标尺度量区域ki对应的空气层厚度。
结合第一方面，进一步的，所述第i层环形标尺度量区域ki为第i层环形标尺与第i-1层环形标尺形成的环状区域。
结合第一方面，进一步的，所述衣下空气层厚度的计算公式如公式(3)所示：
公式(3)中，D为服装-人体截面图形对应的服装的衣下空气层厚度。
第二方面，本发明提供一种服装衣下空间尺寸量化系统，包括：
输入端：用于输入根据预获取的人体三维净体模型和着装人体模型，构建获取的服装-人体截面图形，以及根据所述服装-人体截面图形，构建获取的用于测量衣下空气层厚度的环形标尺；
图像处理模块：用于对所述服装-人体截面图形进行数据提取；
数据处理模块：用于对所述图像处理模块提取的数据进行记录存储和调用；
输出端：用于输出根据所述环形标尺度量区域的权重和度量区域对应的空气层厚度，计算获取的衣下空气层厚度，实现服装衣下空间尺寸量化。
与现有技术相比，本发明的有益效果是：
本发明提供的服装衣下空间尺寸量化方法，采用三维扫描技术，获取服装-人体截面图形，进而构建环形标尺，根据服装轮廓线在各环形标尺度量区域内的分布情况进行权重计算，能够表征服装与人体轮廓线的连续性，有效反应截面部位的衣下空气层厚度。
附图说明
图1是本发明实施例提供的服装衣下空间尺寸量化方法流程图；
图2是本发明实施例提供的服装-人体截面图形示意图；
图3是本发明实施例提供的环形标尺示意图；
图4是本发明实施例提供的服装衣下空间尺寸量化系统示意图。
具体实施方式
下面结合具体实施方式对本专利的技术方案作进一步详细地说明。
下面详细描述本专利的实施例，实施例的示例在附图中示出，其中自始至终相同或类似的标号表示相同或类似的元件或具有相同或类似功能的元件。下面通过参考附图描述的实施例是示例性的，仅用于解释本专利，而不能理解为对本专利的限制。在不冲突的情况下，本申请实施例以及实施例中的技术特征可以相互组合。
实施例一：
图1是本发明实施例一提供的一种服装衣下空间尺寸量化方法流程图，本流程图仅仅示出了本实施例方法的逻辑顺序，在互不冲突的前提下，在本发明其它可能的实施例中，可以以不同于图1所示的顺序完成所示出或描述的步骤。
本实施例提供的服装衣下空间尺寸量化方法可应用于终端，可以由服装衣下空间尺寸量化系统来执行，该系统可以由软件和/或硬件的方式实现，该系统可以集成在终端中，例如：任一具备通信功能的平板电脑或计算机设备。参见图1，本实施例的方法具体包括如下步骤：
步骤一：根据预获取的人体三维净体模型和着装人体模型，构建服装-人体截面图形；
根据预获取的人体三维净体模型和着装人体模型，构建服装-人体截面图形包括如下步骤：
步骤A：采用三维扫描仪，扫描裸体模特，获取人体三维净体模型；
人体三维净体模型可以是通过三维扫描仪对裸体模特进行扫描获取的，也可以是通过三维建模软件依据人体比例规律性建立参数化人体模型获取的。
步骤B：选定目标服装，进行相同姿势的着装人体三维扫描，获取着装人体模型；
步骤C：利用三维建模软件，将人体三维净体模型和着装人体模型进行对齐，获取测量模型；
步骤D：选定人体部位，获取测量模型的测量横截面，并由测量横截面中的服装轮廓线和人体轮廓线共同构成服装-人体截面图形。
如图2所示，服装-人体截面图形是横向截面图，服装-人体截面图形同时包含封闭的人体轮廓线和服装轮廓线。
步骤二：根据服装-人体截面图形，构建用于测量衣下空气层厚度的环形标尺；
根据服装-人体截面图形，构建用于测量衣下空气层厚度的环形标尺包括如下步骤：
步骤a：将服装-人体截面图形导入CAD软件中；
步骤b：以服装-人体截面图形中的人体轮廓线为基准，按照预设距离Δd进行n次等间距外扩；
步骤c：确保等间距外扩次数n和预设距离Δd的乘积大于或等于服装-人体截面图形中的服装轮廓线和人体轮廓线之间的最大距离dmax，以此构建获取用于测量衣下空气层厚度的具有n层尺环的环形标尺。
等间距外扩时，保持环形标尺的中心不变。如图3所示，确保最终构建获取的环形标尺的第n层尺环能够将服装轮廓线全部纳入其中。
预设距离Δd的大小决定测量的精度，预设距离Δd越小，测量的精度越高，预设距离Δd越大，测量的精度越低。
步骤三：根据环形标尺度量区域的权重和度量区域对应的空气层厚度，计算获取衣下空气层厚度，实现服装衣下空间尺寸量化；
获取环形标尺度量区域的权重包括如下步骤：
步骤i：测量服装-人体截面图形中服装轮廓线的总长度；
步骤ii：测量服装轮廓线在各层环形标尺度量区域内的分布长度；
步骤iii：根据服装轮廓线的总长度和服装轮廓线在各层环形标尺度量区域内的分布长度，计算获取环形标尺度量区域的权重。
环形标尺度量区域的权重的计算公式如公式(1)所示：
公式(1)中，wi为第i层环形标尺度量区域ki的权重，L为服装轮廓线的总长度，li为服装轮廓线在第i层环形标尺度量区域ki内的分布长度。
环形标尺度量区域对应的空气层厚度的计算公式如公式(2)所示：
公式(2)中，di为第i层环形标尺度量区域ki对应的空气层厚度。
第i层环形标尺度量区域ki为第i层环形标尺与第i-1层环形标尺形成的环状区域。
衣下空气层厚度的计算公式如公式(3)所示：
公式(3)中，D为服装-人体截面图形对应的服装的衣下空气层厚度。
本实施例中，选择截面部位为臀围，选择预设距离Δd为0.5cm，选择等间距外扩次数n为9，构建获取用于测量衣下空气层厚度的具有9层尺环的环形标尺，利用本实施例构建获取的环形标尺计算获取的截面空气层厚度结果如表1所示。
表1截面空气层厚度计算结果
利用三维人体扫描的“截面法取点”法获取的截面点向量数据如表2所示。
表2截面点向量数据
本实施例所测得的截面空气层厚度为1.5983cm，“截面法取点”法中40个取点后测得的截面空气层厚度为1.5874cm，可以看出两种方法数据相近，说明本方法能够有效地测定服装与人体表面的衣下空气层厚度。然而，由于本方法是利用服装与人体轮廓线的数据，表征了服装与人体轮廓线的连续性；而“截面法取点”法是利用点集合的数据，其精度取决于取点的数量，例如取点数量分别为8个、16个、24个、32个和40个时，平均距离分别为1.3924cm、1.5926cm、1.5017cm、1.5493cm和1.5847cm。
本实施例提供的服装衣下空间尺寸量化方法，利用三维扫描或三维建模获取着装对象相同姿势的人体三维净体模型和着装人体模型，利用三维建模软件将人体三维净体模型和着装人体模型对齐得到测量模型，通过对测量模型进行 截面选取，得到所需人体部位的服装-人体截面图形，借助图形处理软件，构建环形标尺，测量服装截面的周长及各环形尺度内的长度，进行截面空气层厚度的计算，从而使截面的空气层度量更加真实有效，计算更加方便快捷。
实施例二：
本实施例提供一种服装衣下空间尺寸量化系统，如图4所示，该服装衣下空间尺寸量化系统包括输入端、处理器和输出端。
输入端用于输入根据预获取的人体三维净体模型和着装人体模型，构建获取的服装-人体截面图形，以及根据服装-人体截面图形，构建获取的用于测量衣下空气层厚度的环形标尺，包括环形标尺的预设距离Δd和等间距外扩次数n。
处理器包括图像处理模块和数据处理模块，图像处理模块用于对服装-人体截面图形进行数据提取；数据处理模块用于对图像处理模块提取的数据进行记录存储和调用；图像处理模块和数据处理模块首先对输入的图形以数值进行判定，确保等间距外扩次数n和预设距离Δd的乘积大于或等于服装-人体截面图形中的服装轮廓线和人体轮廓线之间的最大距离dmax，以确保所构建的环形标尺的第层尺环能够将服装轮廓线全部纳入其中。
输出端用于输出根据环形标尺度量区域的权重和度量区域对应的空气层厚度，计算获取的衣下空气层厚度，实现服装衣下空间尺寸量化。
本发明实施例所提供的服装衣下空间尺寸量化系统可执行本发明任意实施例所提供的服装衣下空间尺寸量化方法，具备执行方法相应的功能模块和有益效果。
本领域内的技术人员应明白，本申请的实施例可提供为方法、系统、或计算机程序产品。因此，本申请可采用完全硬件实施例、完全软件实施例、或结 合软件和硬件方面的实施例的形式。而且，本申请可采用在一个或多个其中包含有计算机可用程序代码的计算机可用存储介质(包括但不限于磁盘存储器、CD-ROM、光学存储器等)上实施的计算机程序产品的形式。
本申请是参照根据本申请实施例的方法、设备(系统)、和计算机程序产品的流程图和/或方框图来描述的。应理解可由计算机程序指令实现流程图和/或方框图中的每一流程和/或方框、以及流程图和/或方框图中的流程和/或方框的结合。可提供这些计算机程序指令到通用计算机、专用计算机、嵌入式处理机或其他可编程数据处理设备的处理器以产生一个机器，使得通过计算机或其他可编程数据处理设备的处理器执行的指令产生用于实现在流程图一个流程或多个流程和/或方框图一个方框或多个方框中指定的功能的装置。
这些计算机程序指令也可存储在能引导计算机或其他可编程数据处理设备以特定方式工作的计算机可读存储器中，使得存储在该计算机可读存储器中的指令产生包括指令装置的制造品，该指令装置实现在流程图一个流程或多个流程和/或方框图一个方框或多个方框中指定的功能。
这些计算机程序指令也可装载到计算机或其他可编程数据处理设备上，使得在计算机或其他可编程设备上执行一系列操作步骤以产生计算机实现的处理，从而在计算机或其他可编程设备上执行的指令提供用于实现在流程图一个流程或多个流程和/或方框图一个方框或多个方框中指定的功能的步骤。
以上仅是本发明的优选实施方式，应当指出，对于本技术领域的普通技术人员来说，在不脱离本发明技术原理的前提下，还可以做出若干改进和变形，这些改进和变形也应视为本发明的保护范围。

Claims (8)

  1. 一种服装衣下空间尺寸量化方法，其特征在于，包括：
    根据预获取的人体三维净体模型和着装人体模型，构建服装-人体截面图形；
    根据所述服装-人体截面图形，构建用于测量衣下空气层厚度的环形标尺；
    根据所述环形标尺度量区域的权重和度量区域对应的空气层厚度，计算获取衣下空气层厚度，实现服装衣下空间尺寸量化。
  2. 根据权利要求1所述的服装衣下空间尺寸量化方法，其特征在于，根据预获取的人体三维净体模型和着装人体模型，构建服装-人体截面图形包括：
    采用三维扫描仪，扫描裸体模特，获取人体三维净体模型；
    选定目标服装，进行相同姿势的着装人体三维扫描，获取着装人体模型；
    利用三维建模软件，将所述人体三维净体模型和着装人体模型进行对齐，获取测量模型；
    选定人体部位，获取所述测量模型的测量横截面，并由所述测量横截面中的服装轮廓线和人体轮廓线共同构成服装-人体截面图形。
  3. 根据权利要求1所述的服装衣下空间尺寸量化方法，其特征在于，根据所述服装-人体截面图形，构建用于测量衣下空气层厚度的环形标尺包括：
    将所述服装-人体截面图形导入CAD软件中；
    以所述服装-人体截面图形中的人体轮廓线为基准，按照预设距离Δd进行n次等间距外扩；
    确保等间距外扩次数n和预设距离Δd的乘积大于或等于所述服装-人体截面图形中的服装轮廓线和人体轮廓线之间的最大距离dmax，以此构建获取用于测量衣下空气层厚度的具有n层尺环的环形标尺。
  4. 根据权利要求1所述的服装衣下空间尺寸量化方法，其特征在于，获取环形标尺度量区域的权重包括：
    测量所述服装-人体截面图形中服装轮廓线的总长度；
    测量所述服装轮廓线在各层环形标尺度量区域内的分布长度；
    根据所述服装轮廓线的总长度和服装轮廓线在各层环形标尺度量区域内的分布长度，计算获取环形标尺度量区域的权重；
    所述环形标尺度量区域的权重的计算公式如公式(1)所示：
    公式(1)中，wi为第i层环形标尺度量区域ki的权重，L为服装轮廓线的总长度，li为服装轮廓线在第i层环形标尺度量区域ki内的分布长度。
  5. 根据权利要求1所述的服装衣下空间尺寸量化方法，其特征在于，所述环形标尺度量区域对应的空气层厚度的计算公式如公式(2)所示：
    公式(2)中，di为第i层环形标尺度量区域ki对应的空气层厚度。
  6. 根据权利要求4或5任一项所述的服装衣下空间尺寸量化方法，其特征在于，所述第i层环形标尺度量区域ki为第i层环形标尺与第i-1层环形标尺形成的环状区域，其中，第0层环形标尺为人体轮廓线。
  7. 根据权利要求1所述的服装衣下空间尺寸量化方法，其特征在于，所述衣下空气层厚度的计算公式如公式(3)所示：
    公式(3)中，D为服装-人体截面图形对应的服装的衣下空气层厚度。
  8. 一种服装衣下空间尺寸量化系统，其特征在于，包括：
    输入端：用于输入根据预获取的人体三维净体模型和着装人体模型，构建获取的服装-人体截面图形，以及根据所述服装-人体截面图形，构建获取的用于测量衣下空气层厚度的环形标尺；
    图像处理模块：用于对所述服装-人体截面图形进行数据提取；
    数据处理模块：用于对所述图像处理模块提取的数据进行记录存储和调用；
    输出端：用于输出根据所述环形标尺度量区域的权重和度量区域对应的空气层厚度，计算获取的衣下空气层厚度，实现服装衣下空间尺寸量化。
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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN120688285A (zh) * 2025-08-26 2025-09-23 苏州大学 一种服装宽松度均匀性评估方法

Families Citing this family (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN118587265B (zh) * 2024-08-06 2024-10-25 苏州大学 一种运动姿势下服装衣下空气层厚度量化方法
CN118691751B (zh) * 2024-08-26 2024-11-22 苏州大学 一种多层服装衣下空间尺寸量化方法
CN119197687B (zh) * 2024-11-28 2025-05-02 苏州大学 一种被子贴合度量化方法
CN120707754B (zh) * 2025-08-26 2025-11-04 苏州大学 一种服装合体性预测方法

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104766083A (zh) * 2015-04-02 2015-07-08 天脉聚源(北京)传媒科技有限公司 一种获取人体服装尺寸的方法及装置
CN106502399A (zh) * 2016-10-31 2017-03-15 江西服装学院 虚拟试衣方法、装置及系统和三维面料材质库建立方法及装置
CN108010134A (zh) * 2017-11-29 2018-05-08 湘潭大学 一种基于移动终端的实时三维虚拟试衣方法
CN108053480A (zh) * 2017-12-08 2018-05-18 东华大学 基于逆向工程技术的三维全尺度着装人体网格构建方法
US20190274384A1 (en) * 2014-07-02 2019-09-12 Konstantin A. Karavaev Method and System for Virtually Selecting Clothing
CN110276121A (zh) * 2019-06-18 2019-09-24 浙江理工大学 一种动态着装间隙量的测量方法

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20190274384A1 (en) * 2014-07-02 2019-09-12 Konstantin A. Karavaev Method and System for Virtually Selecting Clothing
CN104766083A (zh) * 2015-04-02 2015-07-08 天脉聚源(北京)传媒科技有限公司 一种获取人体服装尺寸的方法及装置
CN106502399A (zh) * 2016-10-31 2017-03-15 江西服装学院 虚拟试衣方法、装置及系统和三维面料材质库建立方法及装置
CN108010134A (zh) * 2017-11-29 2018-05-08 湘潭大学 一种基于移动终端的实时三维虚拟试衣方法
CN108053480A (zh) * 2017-12-08 2018-05-18 东华大学 基于逆向工程技术的三维全尺度着装人体网格构建方法
CN110276121A (zh) * 2019-06-18 2019-09-24 浙江理工大学 一种动态着装间隙量的测量方法

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN120688285A (zh) * 2025-08-26 2025-09-23 苏州大学 一种服装宽松度均匀性评估方法

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