基于毫米波扫描技术的人体点云模型测量方法

三维扫描技术极大地促进了服装企业的现代化,通过三维扫描技术可以获取人体的三维信息,进而进行人体测量。相比其他三维扫描技术,毫米波扫描技术受人体着装的影响较小,避免了在扫描时被测人员必须穿着特定紧身衣的缺点,有效突破了现有三维扫描技术对着装的限制。在此基础上,对毫米波点云进行计算和测量,提出了基于投影和姿势修正的人体测量算法进行缺失数据的拟合,实现基于毫米波点云的人体特征参数测量与计算,并最终验证了基于毫米波扫描技术的人体测量可以在整体上较好地实现人体测量,具有重要的理论研究和实用价值。     

服用人体控制部位数据的分析方法及趋势

介绍了人体测量技术的发展历程和现状,讨论了传统手工测量和三维扫描精确度的比较、服装用人体控制部位数据分析的方法,提出进一步研究手工测量.通过查阅大量国内外的相关资料,提出建立层次分析模型,结合实验,研究服装用人体控制部位测量的难易度,分析影响人体尺寸数据精确度的原因,为手工人体测量工作者提供帮助,为完善三维人体测量技术提供参考.     

三维测量技术在服装领域的应用

服装设计与生产的重要依据之一就是人体的结构和尺寸。三维测量技术在服装领域的应用可以克服传统的人体测量方法的一些缺陷，有利于将数字化技术应用到服装领域，实现人体数据的即时采集、处理的舆。本文介绍了三维测量基本技术的原理、数据转换方法和服装三维人体测量系统等方面的内容。     

行业服装用三维人体扫描技术的可行性分析

为了探究三维人体扫描技术是否可以满足行业服装适体度的要求,按照相关标准先实际试穿后用三维人体扫描系统进行比对试验.试验结果表明,行业服装采用三维人体扫描技术既可得到测量结果,又可得到号型数据.     

服装工业中的三维人体测量技术

介绍了三维人体测量技术及三维人体扫描在服装度身定制和号型修改与制定方面的应用情况,对TELMAT三维人体测量仪和Virus smart三维人体测量仪的性能进行了比较。     

基于点云的青年男体尺寸优化算法研究综述

三维人体扫描技术在大规模服装定制中得到初步应用,并逐渐成为一种新的趋势。同时,三维人体测量技术也是量身定制的关键条件之一。目前,人体扫描技术已趋于成熟,后期的数据处理和服装用尺寸提取成为研究的热点。运用三维人体测量技术获得点云数据,并对其准确提取分析,得到人体尺寸优化算法,也已成为很多业内人士的研究方向。本文通过总结国内外专家的研究成果,而对数据分析和人体尺寸提取进行综合性探讨。     

三维扫描与手工测量的精度比较研究

为了比较三维扫描和手工测量两种测量方法的精度,采用ScanWorX仪器进行三维动态扫描,马丁测量仪进行手工测量,测量了200名年轻女性的人体数据,利用SPSS软件对数据进行正态分析、相关性分析等,得出手工测量的数据相对准确的结论。     

应用三维人体测量定制个性化服装

计算机和数字化等技术的快速发展,推动了三维人体测量技术水平的不断提升。三维人体测量技术在服装行业的应用和普及,满足了人们对个性化服装的需求,也带动了服装产业朝着数字化方向发展,这也是服装定制发展的必然趋势。基于此,文章围绕三维人体测量技术展开研究,通过对该技术的介绍,指出了三维人体测量对服装产业发展的影响,并对其在定制个性化服装中的应用和发展趋势进行了详细分析,以供参考。     

虚拟试衣系统关键技术研究

基于目前虚拟试衣系统国内外发展现状及应用,分析三维人体重建技术与三维着装模拟效果,并深入探究实现该功能的三维人体扫描与建模、建立服装库、模拟面料等技术;发现可通过对三维人体样本形态进行统计学习,帮助实现人体以及服装模型的快速构建,此外,系统的仿真性仍存在很大的提升空间,合理的数据存储与交换功能以及新增服装推荐搭配等服务可受益服装消费者与商家。     

三维人体测量技术在服装个性化定制中的应用及发展趋势分析

三维人体测量技术的应用是推动服装设计个性化定制发展的重要动力,也是定制服装生产的技术应用趋势,必将加速服装产业的数字化进程。文章通过对传统人体测量技术和三维人体测量技术的分析比较,从量身定制、三维数字化试衣和3D打印技术的角度阐述了三维人体测量技术在定制服装定制中的应用,并就该技术未来的发展趋势进行了分析。     

Comparison of different body measurement techniques: 3D stationary scanner, 3D handheld scanner,and tape measurement

Body measurements play an import role in pattern generation and size determination. Traditionally, body measurements were captured with tape measures. The tape measure technique is often time-consuming. Nowadays, three-dimensional (3D) stationary whole-body scanners are widely used in the apparel industry to collect body measurements. The stationary scanner has good performance on efficiency, validity, and reliability. However, it is not suitable for home use due to its high cost. Occipital’s Structure Sensor, as a representation for low-price handheld 3D scanners, is a 3D scanner for mobile devices. This research focused on studying whether the Structure Sensor could be used to capture body measurements for the apparel industry or not. Its performance was compared to a whole-body stationary scanner and the tape measurement. It was found that the Structure Sensor could be used to collect body measurements data with relatively low reliability if corresponding measurement extraction software was developed.     

青年男性颈部分类与尺寸规格分析

通过非接触式三维人体扫描仪对200名在校男大学生进行人体测量,结合服装领型结构设计所需尺寸,提取了青年男性8个颈部相关尺寸,提出相应的分类指标;利用SPSS统计软件通过分类指标对样本进行聚类分析,把青年男性颈部细分为7个类型,并计算出各类型颈部中间体数值和各部位的分档数值,组成青年男性颈部尺寸的规格系列,该规格系列可为男装领型的结构设计提供更多的尺寸参考,服务于服装规格制定和成衣生产。     

Study of optimum parameters for Chinese female underwire bra size system by 3D virtual anthropometric measurement

The aim of this paper is to explore the optimum parameters for Chinese female underwire bra size system. Raw data was collected for 275 subjects using a 3D scanner, and 108 measurement values were extracted by reverse engineering software Polyworks. Analysis of data was conducted by integrating the entropy weight method and Principal Component Analysis (PCA) methods. It was determined that the value of breast breadth (straight distance from inner most point to outer most point on the breast) should be added to the pivotal parameters and compared to previous research to classify the breast shape and to create a totally new size system for the underwire bra. This information can provide the value width for the pattern maker and help in choosing the right sized & shaped wire for the underwire bra. When compared to former research, more breast shapes were defined than when only the depth width ratio and under-bust girth were used as parameters.     

基于C/S模式的女子体型识别及应用

 采用C/S模式,建立女子体型的识别和应用系统。目的在于经过对三维人体数据的研究,生成符合人体尺寸的服装样板,应用于服装企业的生产中,以满足消费者的个性化需求。首先,通过三维人体扫描仪,采集江浙青年女子人体数据,构建人体数据库;再次,根据企业的服装款式,建立基本的样板数据库;最后,利用BP神经网络对个体特征参数进行识别分类,形成个性的服装样板图。这一系统通过VB.NET平台的自制软件得以实现,企业试用效果良好。     

Developing novel 3D measurement techniques and prediction method for food density determination

Density is a physical characteristic which depends on the experimental technique used and structural properties of food. True, apparent, and bulk are different types of densities based on the way volume is measured. For porous foods such as grain food products, accurate measurement of density is challenging. Current measurement techniques for food density are inconsistent and nutrient databases do not have sufficient density data. Computed tomography (CT) and magnetic resonance imaging (MRI), laser scanners are non-destructive diagnostic tools for characterizing food microstructure. The objectives of this study were to 1) optimize the parameters of CT, MRI, and laser scanner to determine food density and compare the corresponding values with other traditional techniques, and 2) to develop neural networks as a prediction method for apparent and bulk densities. MicroCT 40 (Scano Medical Inc.), Lightspeed QX/i clinical CT (GE Healthcare), and 3 Tesla Signa HDx MRI (GE Healthcare) were used to acquire 3D images of foods for true density. A 3D laser scanner (NextEngine, Inc) was used to scan the foods items for apparent density. Neural networks were used in conjunction with the data collected from laser scanner and using food composition and processing conditions to generate a black-box prediction scheme. The results of CT, MRI, and laser scanner showed great potential to estimate density in comparison to traditional techniques. Porosity was estimated from the CT and MRI scanned image data. Laser scanner was successful in acquiring 3D images and calculating apparent density. Neural networks provided reliable density prediction power and were comparable to the other empirical equations in terms of accuracy. The ability to predict food density based on composition and processing conditions is necessary to fill gaps in nutrient databases and account for new foods.     

OpenGL下的三维人体真实感显示技术

0penGL是目前在三维图形CAD领域应用最为广泛的API ,是开发三维服装CAD软件必备的底层技术之一 ,VC + +是开发Windows应用程序最为强大的工具 ,探讨了两者的联合编程技术 ,并应用Vitus三维人体扫描仪所得的数据在 0 penGL下实现了三维人体的真实感显示。     

Scanner colorimetric characterization for concentration estimation in single-component dyeing systems

Today, scanners are often promoted for color measurement applications. With a color scanner, it is possible, to some extent, to measure the color of objects if they are properly calibrated and characterized. The object of the present work is to study concentration estimation in single-component dyeing systems using a scanner. A new method is presented based on Cohen and Kappauf and single-constant Kubelka–Munk theories. The results showed a nonlinear transformation of the fundamental color stimulus that benefits from a good scalability could be applied for the aims of this study in specified illumination and viewing conditions with an adequate error range.     

基于Geomagic的三维人体建模技术

根据现代计算机辅助服装设计过程中对三维人体模型的要求,针对人体的结构特点,探索一种在非接触测量技术基础上快速构建个性化三维人体NURBS曲面模型的实用方法,即通过激光三维人体扫描设备获得的点云数据平台,利用逆向工程软件Geomagic Studio实现快速建模。较为详细地阐述了在人体曲面重构过程中人体点云数据的优化处理方法,介绍人体多边形和人体曲面片的实用编辑处理技术。此方法所构建的三维人体模型逼真、精美,能满足服装业对人体模型精度和利用效价的要求。     

电磁选针器实时检测系统

为满足电磁选针器的性能测试及其在长时间运行过程中的稳定性检测与故障数据保存的要求,利用可重新配置的嵌入式测控系统和配套的软件,设计了一种采用激光位移传感器实现选针摆动位移的检测系统。通过对电磁选针器选针刀的位移与选针驱动信号进行实时采集和处理,实现了选针刀摆动规律的测量和选针响应时间的计算。该检测系统还具有异常选针时间分析和记录功能,用于选针器的稳定性检测。本文系统为选针器的优化设计和性能标定提供了一种精确的测量分析方法,并为后续的电磁选针器故障分析提供了数据支持。     

扫描仪光电转换函数的测量及应用

光电转换函数体现扫描仪最基本的性能特征,是测量其他性能指标的基础.本文测量了平板扫描仪和平台式扫描仪的光电转换函数.测量数据表明,参与测试的扫描仪存在明显的非线性效应.考虑到扫描仪线性化处理的需要,在基于明度的光电转换函数的基础上得到了两种扫描仪的二次拟合曲线,可用于扫描仪非线性效应的补偿.