Cloth Model Research Articles

Virtual draping by mapping

We propose a method of virtual draping by representing the actual draping process, i.e., a pattern is made a from cloth model by mapping. Additionally, the garment form is simulated from the obtained pattern. The process of making the pattern is as follows. A rectangular planar cloth model is made and slit for dart as needed. The slit cloth model is mapped to the surface of a dummy model. The shape of the cloth model under the condition of relaxation on the surface of the dummy model is obtained by mechanical calculation. A three-dimensional pattern shape is obtained to remove unnecessary part of the cloth model. Finally, a planar pattern shape is made by mapping the three-dimensional pattern inversely to a plane. A garment form is also simulated from the obtained pattern. The pattern for a pencil skirt can be made employing the proposed method. We make an actual pencil skirt and simulate its form using this pattern. Thus, the deformation of a cloth and the attaching process can be considered. The present study maps the cloth model to the dummy model to make the garment form and thus represents draping more closely.

PENGGUNAAN PAKAIAN DINAS HARIAN BERLENGAN PENDEK DAPAT MENINGKATKAN KENYAMANAN DAN KINERJA RADIOGRAFER DI RUMAH SAKIT UMUM PUSAT SANGLAH DENPASAR

Technological developments increase the clothing industry from a variety of materials, types of fabrics, clothing models used by various professions in the form of work uniforms or daily service clothing (PDH). The convenient use of PDH helps workers improve their performance. This study was conducted to determine the effect of long-sleeved and short-sleeved PDH on the comfort and performance of radiographers at Sanglah Hospital Denpasar. This research was carried out at radiology installation of Sanglah Denpasar Hospital, from May to June 2017. The design of this study was cross-design of two equal period subjects (treatment by subject and two period cross over pre and post-test group design) with a total sample of 16 people. The use of long-sleeved PDH as a control group, short-sleeved PDH as the treatment group. Measurements were performed pre and post on the comfort and performance of radiographers in terms of hand washing time and the number of patients that could be served. Comparison test on comfort and performance using Wilxocon Signed Ranks Test with p <0,05. The results showed that the application short-sleeved PDH increased the subjective comfort y 10.75 or 27.08% (p <0.05), improving the performance of decreasing the time duration score required by hand washing 0,87 or 34,12% p <0.05) and an increase in the number of patients who could be served by 6.31 or 53.98% (p <0.05).
 The applicastion of short-sleeved PDH compared to long-sleeved PDH showed a difference of comfort and radiographer performance at radiology installation of Sanglah Hospital Denpasar. The next PDH manufacturing process for radiographers is recommended using short-sleeved PDH.

Research on the Application of Personalized Customized Virtual Design Method in Clothing

In order to meet the different needs of customers at different stages of personalized customization of clothing, this paper analyzes the status quo of personalized customization of clothing under the "Internet +" environment, and puts forward the concept of ergonomics. Based on the dynamic holographic model of apparel 3D virtual design, real-time dynamic record of clothing modeling information in order to amend and improve. Based on the dynamic holographic product model of apparel products, the 3D virtual garment design method is applied in clothing personalized customization, and the clothing modeling based on physical-geometric mixed model is optimized; a skirt as an example of this study was analyzed. This paper summarizes the virtual design method, which makes the garment manufacturing industry realize the human-machine collaborative design on the basis of network technology, and the reality is stronger. This paper summarizes the virtual design method in the garment manufacturing industry based on the network technology to realize the humanmachine co-design of clothing, the reality is stronger.

Learning deep similarity models with focus ranking for fabric image retrieval

Fabric image retrieval is beneficial to many applications including clothing searching, online shopping and cloth modeling. Learning pairwise image similarity is of great importance to an image retrieval task. With the resurgence of Convolutional Neural Networks (CNNs), recent works have achieved significant progresses via deep representation learning with metric embedding, which drives similar examples close to each other in a feature space, and dissimilar ones apart from each other. In this paper, we propose a novel embedding method termed focus ranking that can be easily unified into a CNN for jointly learning image representations and metrics in the context of fine-grained fabric image retrieval. Focus ranking aims to rank similar examples higher than all dissimilar ones by penalizing ranking disorders via the minimization of the overall cost attributed to similar samples being ranked below dissimilar ones. At the training stage, training samples are organized into focus ranking units for efficient optimization. We build a large-scale fabric image retrieval dataset (FIRD) with about 25,000 images of 4300 fabrics, and test the proposed model on the FIRD dataset. Experimental results show the superiority of the proposed model over existing metric embedding models.

ФАКТОРИ ВПЛИВУ МОЛОДІЖНИХ СУБКУЛЬТУР НА СОЦІАЛЬНО-КОМУНІКАТИВНУ ФУНКЦІЮ КОСТЮМУ

Мета роботи. Стаття присвячена аналізу факторів впливу молодіжних субкультур на підвищення інформативності соціально-символьної складової комунікативної функції костюму. Методологія дослідження. Для визначення факторів впливу субкультур на символьну виразність молодіжного костюму застосовано системний підхід як базис до комбінування історико-культурологічного аналізу динаміки розвитку субкультур з контекстним аналізом аксіологічних критеріїв, семантичних кодів та методів символьної ідентифікації субкультур на кожному етапі життєвого циклу. Наукова новизна результатів дослідження полягає в деталізації ролі соціально-символьної складової комунікативної функції костюма в формуванні тенденцій молодіжної моди, що є актуальною проблемою гармонізації дизайнерських рішень моделей молодіжного костюму з особливостями сприйняття одягу споживачами молодшої вікової групи. Показано, що в певній стадії розвитку субкультура активно впливає на вуличну моду, формуючи новий напрямок «стріт-стайл».Висновки. Виразність символьно-візуального каналу комунікативної функції костюма – характерна особливість субкультур на кожному етапі розвитку, що особливо яскраво проявляється в формуванні позамежних течій певних напрямків «стріт-стайл». Аналіз субкультур як каталізаторів зростання виразності моделей одягу молодіжної моди підтверджує наявність їх впливу на посилення символічної функції костюма. У процесі трансферу семантичних кодів субкультур в фешн-середовище відбувається втрата їх автентичності, але зростає інформаційний потенціал соціально-символьної складової комунікативної функції костюма. У цьому полягає феномен впливу субкультур на соціально-комунікативну функцію молодіжного костюма.

Algoritma A* Dalam Peletakan Pola Pakaian Pada Kain

Strip Packing Problem (SPP) is a problem that appears in the laying of a pattern of regular or irregular objects in a container of a certain size. One of the cases in SPP is usually experienced by garment companies in mass-producing clothing. The problem that arises is how to lay the patterns of clothing on the fabric in order to obtain optimization in use of materials and to reduce excess fabric remnants. One of the methods used for this SPP problem is using A* Algorithm. Each pattern of the clothing model is calculated and measured from the smallest to the largest. Then the pattern is mapped on a cloth of a certain size. The process repeated until it reaches the specified quantity. In this research only focus of mapping to achieve the efficiency of material usage. Clothes model tested is women's clothing: long & short sleeveless shirts, long pants and long skirts. Patterns are made in the form of Scalable Vector Graphics (SVG). From the test result, the efficiency of material usage reaches 68%, it is influenced by the mapping factor from the smallest quantity to the largest iteratively so as to allow the existence of empty space between unused patterns.

Bayesian Nonparametric Learning of Cloth Models for Real-Time State Estimation

Robotic solutions to clothing assistance can significantly improve quality of life for the elderly and disabled. Real-time estimation of the human-cloth relationship is crucial for efficient learning of motor skills for robotic clothing assistance. The major challenge involved is cloth-state estimation due to inherent nonrigidity and occlusion. In this study, we present a novel framework for real-time estimation of the cloth state using a low-cost depth sensor, making it suitable for a feasible social implementation. The framework relies on the hypothesis that clothing articles are constrained to a low-dimensional latent manifold during clothing tasks. We propose the use of manifold relevance determination (MRD) to learn an offline cloth model that can be used to perform informed cloth-state estimation in real time. The cloth model is trained using observations from a motion capture system and depth sensor. MRD provides a principled probabilistic framework for inferring the accurate motion-capture state when only the noisy depth sensor feature state is available in real time. The experimental results demonstrate that our framework is capable of learning consistent task-specific latent features using few data samples and has the ability to generalize to unseen environmental settings. We further present several factors that affect the predictive performance of the learned cloth-state model.

Real-Time Cloth Rendering with Fiber-Level Detail.

Modeling cloth with fiber-level geometry can produce highly realistic details. However, rendering fiber-level cloth models not only has a high memory cost but it also has a high computation cost even for offline rendering applications. In this paper we present a real-time fiber-level cloth rendering method for current GPUs. Our method procedurally generates fiber-level geometric details on-the-fly using yarn-level control points for minimizing the data transfer to the GPU. We also reduce the rasterization operations by collectively representing the fibers near the center of each ply that form the yarn structure. Moreover, we employ a level-of-detail strategy to minimize or completely eliminate the generation of fiber-level geometry that would have little or no impact on the final rendered image. Furthermore, we introduce a simple self-shadow computation method that allows lighting with self-shadows using relatively low-resolution shadow maps. We also provide a simple distance-based ambient occlusion approximation as well as an ambient illumination precomputation approach, both of which account for fiber-level self-occlusion of yarn. Finally, we discuss how to use a physical-based shading model with our fiber-level cloth rendering method and how to handle cloth animations with temporal coherency. We demonstrate the effectiveness of our approach by comparing our simplified fiber geometry to procedurally generated references and display knitwear containing more than a hundred million individual fiber curves at real-time frame rates with shadows and ambient occlusion.

Fabric Reconstruction Based on Sustainable Development: Take the Type of Fabric Recycling as an Example

<p>Sustainable development is a very important concept of our time, it wants to do is to live in harmony with people, to protect the environment where our human survival. Fabric recycling refers to the use of a variety of traditional and high-tech means of the existing fabric fabric design and processing. So that the surface of a rich visual texture and tactile texture "through the fabric recycling approach. However, the fabric form and clothing design coordination between the clothing design is essential to the link! Garment fabric is not only the material basis of clothing modeling But also an important form of plastic arts. Fabric recycling art has gradually become a new breakthrough point of fashion design! And become an important means to increase the added value of clothing products. But at the same time fabric recycling also follow the concept of sustainable development. This paper analyzes the relationship between fabric reengineering and sustainable development. Combined with practice to explore the fabric processing technology and its creative ideas and some of its environmental performance.</p>

Integrating a human thermoregulatory model with a clothing model to predict core and skin temperatures

This paper aims to integrate a human thermoregulatory model with a clothing model to predict core and skin temperatures. The human thermoregulatory model, consisting of an active system and a passive system, was used to determine the thermoregulation and heat exchanges within the body. The clothing model simulated heat and moisture transfer from the human skin to the environment through the microenvironment and fabric. In this clothing model, the air gap between skin and clothing, as well as clothing properties such as thickness, thermal conductivity, density, porosity, and tortuosity were taken into consideration. The simulated core and mean skin temperatures were compared to the published experimental results of subject tests at three levels of ambient temperatures of 20 °C, 30 °C, and 40 °C. Although lower signal-to-noise-ratio was observed, the developed model demonstrated positive performance at predicting core temperatures with a maximum difference between the simulations and measurements of no more than 0.43 °C. Generally, the current model predicted the mean skin temperatures with reasonable accuracy. It could be applied to predict human physiological responses and assess thermal comfort and heat stress.

An integrated approach to develop, validate and operate thermo-physiological human simulator for the development of protective clothing.

Following the growing interest in the further development of manikins to simulate human thermal behaviour more adequately, thermo-physiological human simulators have been developed by coupling a thermal sweating manikin with a thermo-physiology model. Despite their availability and obvious advantages, the number of studies involving these devices is only marginal, which plausibly results from the high complexity of the development and evaluation process and need of multi-disciplinary expertise. The aim of this paper is to present an integrated approach to develop, validate and operate such devices including technical challenges and limitations of thermo-physiological human simulators, their application and measurement protocol, strategy for setting test scenarios, and the comparison to standard methods and human studies including details which have not been published so far. A physical manikin controlled by a human thermoregulation model overcame the limitations of mathematical clothing models and provided a complementary method to investigate thermal interactions between the human body, protective clothing, and its environment. The opportunities of these devices include not only realistic assessment of protective clothing assemblies and equipment but also potential application in many research fields ranging from biometeorology, automotive industry, environmental engineering, and urban climate to clinical and safety applications.

Dynamic Garment Simulation based on Hybrid Bounding Volume Hierarchy

Abstract In order to solve the computing speed and efficiency problem of existing dynamic clothing simulation, this paper presents a dynamic garment simulation based on a hybrid bounding volume hierarchy. It firstly uses MCASG graph theory to do the primary segmentation for a given three-dimensional human body model. And then it applies K-means cluster to do the secondary segmentation to collect the human body’s upper arms, lower arms, upper legs, lower legs, trunk, hip and woman’s chest as the elementary units of dynamic clothing simulation. According to different shapes of these elementary units, it chooses the closest and most efficient hybrid bounding box to specify these units, such as cylinder bounding box and elliptic cylinder bounding box. During the process of constructing these bounding boxes, it uses the least squares method and slices of the human body to get the related parameters. This approach makes it possible to use the least amount of bounding boxes to create close collision detection regions for the appearance of the human body. A spring-mass model based on a triangular mesh of the clothing model is finally constructed for dynamic simulation. The simulation result shows the feasibility and superiority of the method described.

آثر استخدام برنامج تدريبى مقترح على إکتساب مهارات رسم نماذج أکوال ملابس الأطفال وتجهيزها للترکيب

آثر استخدام برنامج تدريبى مقترح على إکتساب مهارات رسم نماذج أکوال ملابس الأطفال وتجهيزها للترکيب

Improving local ventilation prediction by accounting for inter-segmental ventilation

The inter-segmental ventilation rate at clothing inter-connection of arms and trunk affects the estimation of local ventilation rates of these clothed segments. The accurate estimation of the inter-segmental ventilation rate is based on the integration of a connected clothed cylinders model with a bio-heat model to predict a realistic segmental skin temperature. This integration is validated with experiments on a thermal manikin using the tracer gas method. The results show that accounting for the inter-segmental ventilation rate improves the estimation of the segmental ventilation of the arm and the trunk for different garment apertures at external wind velocities less than 4 m/s. For a wind velocity of 1 m/s, the inter-connection increased the trunk ventilation by up to 12% and heat loss by up to 5.46%. A statistical correlation is established for the inter-segmental ventilation rate in terms of the influencing parameters: air permeability, wind velocity, mean air gap size between skin and clothing, and the upper clothing aperture design. Furthermore, a local ventilation rate correction factor equation is developed as a function of the inter-segmental ventilation rate to correct for local ventilation rates when derived from values of isolated/unconnected clothed segments.

Garment Simulation and Collision Detection on a Mobile Device

This paper describes several techniques for accelerating a virtual try-on garment simulation on a mobile device (smartphone or tablet) using parallel computing on a multicore CPU, GPU computing or both depending on the mobile hardware. The system exploits a mass-spring cloth model with velocity modification approach to overcome the super-elasticity. The simulation starts from flat garment pattern meshes positioned around a 3D human body, then seaming forces are applied on the edges of the panels until the garment is seamed and several cloth draping steps are performed in the end. The cloth-body collision detection and response algorithm is based on image-space interference tests and the cloth-cloth collision detection uses entirely GPU based approach on the newer hardware or recursive parallel algorithm on the CPU. As the results section shows the average time of dressing a virtual body with a garment on a modern smart phone supporting OpenGL ES2.0 is 2 seconds and on a tablet supporting OpenGL ES3.0 or 3.1 is less than one second.

Mutli-resolution Cloth Simulation based on Particle Position Correction

This paper presents a multi-resolution cloth simulation based on first order finite element method. Previous works on multi-resolution cloth simulation used discrete cloth models like mass-spring in combination with one of subdivision schemes. The major drawback of such models is the difficulty of adjusting their parameters, which slow down the convergence of the model, especially when using different levels of details. Models based on first order finite element method can handle arbitrary triangle meshes, not necessarily regular ones. In order to contribute to solve the problem of the divergence of simulations, a method for correcting the positions of particles is proposed. And to improve the simulation, criteria such as the angle of subdivision, the shape of the fabric and the number of the level of detail are taken into account.

Imitação e Inovação na Moda: Mapeando o Processo Criativo no Segmento de "Modinha" em uma Feira Regional

Fashion is recognized by transience, resulting in its short life cycle, since the constant changes make what was previously considered "fashionable" obsolete (Emidio Sabione, 2010). In this market, innovate and act before competitors, accelerate the launch of products, reduce design time and the placement of new items on the market is a survival condition (Lipovetsky, 2007). A central factor in the fashion spread is imitation, as this promotes both innovation and obsolescence, forcing producers to set up periodically (Caulkins et al., 2007, Pesendorfer, 1995). The research object is the "modinha", women's clothing that follows media trends, is the copying, with or without changes, to the mass market (Avelar, 2009; Victor, 2007), in this study, "José Avelino Street Fair". This fair meets weekly hundreds of manufacturers in a metropolis of northeastern Brazil that has been established as a fashion hub. Thus, it was proposed to identify the process of innovation in companies that make “modinha” in this Fair. The research was conducted through a survey and data were obtained from a questionnaire administered with 78 stallholders. One descriptive and exploratory data analysis was performed. It was found that, contrary to expectation, a considerable formality, with 49 of the 78 respondents with CNPJ; its customers are small retailers; and their competitors are the stallholders. Regarding the creation of clothes models, the stallholders research in various sources and said imitating models from these sources, but they try to make changes.

An overview of interactive wet cloth simulation in virtual reality and serious games

Cloth simulation is an area of research in domain of computer graphics, that assists actors/actress to wear such clothes that seem real using animated techniques. In this paper, we discuss a panoramic overview on computer graphics cloth simulation and modelling techniques such as firstly geometrical methods which utilise geometrical equations to generate cloth-like visualisations without taking into account the cloth apparent characteristics, secondly these approaches in dynamic cloth simulation are connected to fabric engineering field including three types which are the mass-spring model, particle-based system and elastically deformable model and thirdly hybrid methods that combine physical and geometrical methods essentially to arrive at a more complex simulation model are highlighted. The advance cloth simulation which stated that the cloth simulation is a mixture of a many methods and strategies, which involves mechanical simulation, statistical integration, collision recognition, constraints, and rendering approaches for creating clothes is discussed. Physical modelling phase and collision handling phase are critically inspected. The interaction between fluids and rigid and elastic bodies that boosts the complexity of fluids’ motion is discussed..

Anisotropic Strain Limiting for Quadrilateral and Triangular Cloth Meshes

AbstractThe cloth simulation systems often suffer from excessive extension on the polygonal mesh, so an additional strain‐limiting process is typically used as a remedy in the simulation pipeline. A cloth model can be discretized as either a quadrilateral mesh or a triangular mesh, and their strains are measured differently. The edge‐based strain‐limiting method for a quadrilateral mesh creates anisotropic behaviour by nature, as discretization usually aligns the edges along the warp and weft directions. We improve this anisotropic technique by replacing the traditionally used equality constraints with inequality ones in the mathematical optimization, and achieve faster convergence. For a triangular mesh, the state‐of‐the‐art technique measures and constrains the strains along the two principal (and constantly changing) directions in a triangle, resulting in an isotropic behaviour which prohibits shearing. Based on the framework of inequality‐constrained optimization, we propose a warp and weft strain‐limiting formulation. This anisotropic model is more appropriate for textile materials that do not exhibit isotropic strain behaviour.

Virtual manipulations for draping

Purpose – Draping is one method used in clothing design. It is important to virtualize draping in real time, and virtual cloth handling is a key technology for this purpose. A mouse is often used for real-time cloth handling in many studies. However, gesture manipulation is more realistic than movements using the mouse. The purpose of this paper is to demonstrate virtual cloth manipulation using hand gestures in the real world. Design/methodology/approach – In this study, the authors demonstrate three types of manipulation: moving, cutting, and attaching. The user’s hand coordinates are obtained with a Kinect, and the cloth model is manipulated by them. The cloth model is moved based on the position of the hand coordinates. The cloth model is cut along a cut line calculated from the hand coordinates. In attaching the cloth model, it is mapped to a dummy model and then part of the cloth model is fixed and another part is released. Findings – This method can move the cloth model according to the motion of the hands. The authors have succeeded in cutting the cloth model based on the hand trajectory. The cloth model can be attached to the dummy model and its form is changed along the dummy model shape. Originality/value – Cloth handling in many studies is based on indirect manipulation using a mouse. In this study, the cloth model is manipulated according to hand motion in the real world in real time.