Virtual Fitting System Research Articles

증강현실 기반 가상피팅시스템 사용시 지각된 기술 속성의 다차원성 : 위계적 요인구조모델 분석

The purpose of this study was to identify the underlying dimensions of AR technological attributes (ARTA), and estimate the hierarchical factor models for using a virtual fitting system in fashion retailing. The sample in this study consisted of consumers in their 20s and 30s. A total of 173 usable responses were obtained from volunteers who agreed to participate in the lab experiments and a survey with a questionnaire. The first-order confirmatory factor analysis confirmed that perceived ARTA consisted of five factors: augmentation, vividness, visual comfort, responsiveness, and organized system in using the virtual fitting system. Also, the estimated second-order factor model showed that the five ARTA factors were predicted by higher-order two constructs: the first

Design and implementation of virtual fitting system based on gesture recognition and clothing transfer algorithm

Virtual fitting can bring fast and convenient fitting experience for people. The two core problems of virtual fitting system are human–computer interaction and clothing simulation. Interaction is an important factor in determining the fitting experience. The previous virtual fitting products usually use the mouse and keyboard interaction, and users rarely have a good sense of substitution and interaction. While, the method of using multiple cameras to take user images from different angles and then carry out posture recognition has the defect of low recognition accuracy. In view of clothing simulation and human–computer interaction of virtual fitting system, in order to achieve better customer immersion experience, this paper implemented a real-time interactive virtual fitting system based on Microsoft Kinect motion sensing device, and proposed a gesture determination algorithm based on finger recognition and an image transfer algorithm based on skeleton information matching. Using OpenNI development library and multi-threading technology, we have developed a motion-sensing capture module and a complete real-time virtual fitting system, and the system test results show that it has a good user experience.

3D 가상 피팅 기술을 활용한 한국 패션제품에 대한 구매의도 : 베트남, 인도네시아, 태국 소비자를 중심으로

Due to the rapid development of the internet and mobile devices, the trend of cross-border shopping is spreading to the global stage, and Southeast Asia is attracting attention as one of the fastest-growing e-commerce markets in the world. Southeast Asian consumers’ digital consumption accelerated after the pandemic. However, the inability to try on clothing products has long been recognized as a limitation of overseas online purchases. 3D virtual fitting technology allows consumers to better evaluate the size and shape of fashion products before purchasing, so as to reduce the difference between the physical and the online store. In this way, it can increase the realism of online shopping for global consumers and help them make better purchase decisions. The purpose of this study is to examine the sales potential of Korean fashion products through cross-border e-commerce. A survey was conducted among female consumers in their 20s and 30s in Vietnam, Indonesia, and Thailand. Respondents answered a questionnaire after watching a video using the 3D virtual fitting system. 200 sets of data from each country were used for the final analysis, and the results are as follows. In the case of Vietnamese consumers, their involvement in online shopping and the Korean wave influenced their online purchase intentions of Korean fashion products using the 3D virtual fitting system in the order. In the case of Indonesian consumers, the Korean wave had the greatest impact on purchase intention, followed by cognitive country image and online shopping involvement. Lastly, in the case of Thai consumers, and in order of significance, the Korean wave, online shopping involvement, innovativeness, and perceived severity of COVID-19 all had an impact. These results propose a global sales strategy for Korean fashion products by identifying factors affecting purchase intentions of Korean fashion products using 3D virtual fitting technology.

CLO3D-Based 3D Virtual Fitting Technology of Down Jacket and Simulation Research on Dynamic Effect of Cloth

A 3D virtual fitting system for down jackets based on CLO3D is proposed and implemented in this paper. CLO3D system realizes virtual fitting, including three-dimensional body modeling, parametric punching, three-dimensional virtual sewing fitting, fabric texture attribute setting, and dynamic display, which realizes the design and realization of display. The clothing deformation algorithm based on human input posture is used to deform the clothing model, which presents the physical characteristics of virtual clothing more truly. At the same time, the image acquisition equipment is used to obtain the real-life image, and the clothing image transfer algorithm is used to superimpose the virtual clothes and the real-life image. The position of human joints is obtained by feature extraction technology, and the scaling ratio of the virtual clothes is calculated so that the virtual clothes are closely combined with the real-life image. Compared with similar virtual fitting systems in the industry, the information processing process of this system is more intelligent, the interaction is more natural, and the fitting effect is more realistic. We make every effort to make the virtual fitting system reduce the gap between virtual and reality and tend to be more realistic and popular.

New Retail Marketing Strategy Combining Virtual Reality and 5G Mobile Communication

At present, Chinaʼs retail industry has been completely opened to the outside world, and it is exactly the same. The retail industry has become one of Chinaʼs most market-oriented and competitive industries. At the same time, the changes in consumer demand are becoming more and more diversified. In order to meet the diversified and personalized needs of consumers, retail companies must continue to increase investment in services, management, marketing, and branding. This paper combines virtual technology and 5G mobile communication technology to design and realize a set of 3D virtual fitting system. According to peopleʼs fitting needs, the research is carried out from two aspects: clothing style and body type matching degree and clothing fabric drape. In the comparison of body shape test results with conventional body shape judgment experience, the correct rate of the virtual fitting systemʼs body shape judgment was 86%, and the error rate was 14%. In the comparison of online shopping data of consumers on different communication networks, it was found that the speed of different networks is different. The shopping experience has a relatively large impact. As a newly developed network mobile communication technology, 5Gʼs ultra-high speed advantage has a great impact on the consumer experience; in the analysis and comparison of the traditional operation mode and the combination of online and offline operation modes, it is concluded that the traditional marketing model is far from meeting peopleʼs current life needs, and new retail is catering to the consumer needs of people in the new era.

3D garment model reconstruction based on scattered point cloud

We describe a method to quickly reconstruct 3D garment model. We first use a depth camera scanning device to quickly obtain 3D point cloud data on the surface of the clothing, pre-process the point cloud data. Then combining the region growth algorithm and Delaunay triangulation algorithm, we propose a surface reconstruction algorithm that takes undirected point clouds as input and generates interpolated surfaces in the form of triangulation to reconstruct the clothing model. We build this systematic 3D garment modeling program. Through our method we obtain a uniformly distributed grid, smooth patches, and also retain the original shape of the clothing point cloud. Our method increases the convenience of garment modelling, reduces the manpower and time for garment modeling, helps expand the garment database of the virtual fitting system, and provides ideas for garment electronic sales.

Study on 3D Clothing Color Application Based on Deep Learning-Enabled Macro-Micro Adversarial Network and Human Body Modeling.

In real life, people's life gradually tends to be simple, so the convenience of online shopping makes more and more research begin to explore the convenience optimization of shopping, in which the fitting system is the research product. However, due to the immaturity of the virtual fitting system, there are a lot of problems, such as the expression of clothing color is not clear or deviation. In view of this, this paper proposes a 3D clothing color display model based on deep learning to support human modeling-driven. Firstly, the macro-micro adversarial network (MMAN) based on deep learning is used to analyze the original image, and then, the results are preprocessed. Finally, the 3D model with the original image color is constructed by using UV mapping. The experimental results show that the accuracy of the MMAN algorithm reaches 0.972, the established three-dimensional model is emotional enough, the expression of the clothing color is clear, and the difference between the color difference and the original image is within 0.01, and the subjective evaluation of volunteers is more than 90 points. The above results show that it is effective to use deep learning to build a 3D model with the original picture clothing color, which has great guiding significance for the research of character model modeling and simulation.

Personalized customization system solution using augmented reality technology

This paper presents a personalized clothing customization system using Augmented Reality (AR) technology. The goal of this paper is creating a more interactive and immersive experience for tailor designer by bridging physical personalized clothing customization and digital resources. This system can make the traditional clothing customization process more convenient and efficient and has strong interaction and experience. At the same time, it reduces the time cost, labor cost and material cost of sample making in the traditional clothing customization process. This paper discusses the feasibility of the system, introduces the system development, testing, and application environment, the overall system design scheme and system workflow, and details the specific functions of each module. It also introduces the system detection methods and observation indicators. The system uses technologies such as augmented reality (AR) technology, Azure Kinect somatosensory technology, and OpenGL 3D rendering, combined with the functional advantages of the somatosensory virtual fitting system, focusing on the improvement and role of AR technology in the clothing customization process, effectively improving user satisfaction with clothing customization and saves production time and costs.

In-home application (App) for 3D virtual garment fitting dressing room

This work introduces a novel method for the creation of an in-home virtual dressing room for garment fitting using an integrated system consisting of personalized 3D body model reconstruction and garment fitting simulation. Our method gives saliency to and establishes a relational interconnection between the massive scatter points on the 3D generic model. Starting with a small set of anthropometric interconnected ordered intrinsic control points residing on the silhouette of the projections of the generic model, corresponding control points on two canonical images of the person are automatically found – hence importing equivalent saliency between the two sets. Further equivalent saliencies between the projected points from the generic model and the canonical images are established through a loop subdivision process. Human shape mesh personalization is done through morphing the points on the generic model to follow and be consistent with their equivalent points on the canonical images. The 3D reconstruction yields sub resolution errors (high level accuracy) when compared to the average resolution of the original model using the CAESAR dataset. The reconstructed model is then fitted with garments sized to the 3D personalized model given at least one frontal image of the garment with no requirement for a full 3D view of the garment. Our method can also be applied to virtual fitting system for online stores and/or for clothing design and personalized garment simulation. The method is convenient, simple, efficient, and requires no intervention from the user aside from taking two images with a camera or smart phone.

Research on the Reconstruction and Parameterization of Virtual Costume Draping Mannequin in OpenGL Environment

In the 3D virtual design of clothing, the accuracy of virtual mannequin will significantly affect the fitness of the final garment. At the same time, parameterized mannequin can also improve the efficiency and effect of virtual clothing design. The traditional mannequin modeling method has been improved and the reconstruction and parameterized deformation of virtual costume draping mannequin has been realized in OpenGL environment. The parameterized reconstruction process of mannequin is mainly divided into four parts, namely the establishment of the basic mannequin, the reading of the model data, the parameterized deformation of the grid model and the rendering and drawing of the modal data. Finally, the new parameterized virtual human platform is built and the interactive interface is developed. And the virtual human mannequin can be edited and previewed in real time. The modeling result shows that the parametric reconstruction of the virtual draping mannequin is effective and can be applied to virtual costume designing and virtual fitting system.

Automatic 3D virtual fitting system based on skeleton driving

To facilitate the input and improve the practicality of the existing virtual fitting systems, we propose a fully automatic 3D virtual fitting system to fit garment onto human models with various shapes and poses using a 2D full-body image and a 3D garment model. The proposed method constructs the 3D human model from the input 2D full-body image of the user by adopting the SMPLify method. To automatically position garment models onto human models with arbitrary postures, we present a 3D mesh segmentation method based on the discrete Reeb graph to accurately segment the different parts of a garment model, and a skeleton driving method based on mean curvature flow, which automatically adjusts the posture of the garment model according to the skeleton structural difference between the human model and the garment model. In addition, for the purpose of obtaining a more natural dress effect, we further adopt interpenetration removal and physical simulation for the deformed garment model. Compared to existing automatic 3D virtual fitting systems, the experimental results, we obtained based on the Leeds Sports Pose dataset, reveal that the proposed virtual fitting system is stable and effective.

Personalized Clothing Customization System Solution using Augmented Reality Technology

This paper presents a personalized clothing customization system using Augmented Reality (AR) technology. The goal of this paper is creating a more interactive and immersive experience for tailor designer by bridging physical personalized clothing customization and digital resources. This system can make the traditional clothing customization process more convenient and efficient and has strong interaction and experience. At the same time, it reduces the time cost, labor cost and material cost of sample making in the traditional clothing customization process. This paper discusses the feasibility of the system, introduces the system development, testing, and application environment, the overall system design scheme and system workflow, and details the specific functions of each module. It also introduces the system detection methods and observation indicators. The system uses technologies such as augmented reality (AR) technology, Azure Kinect somatosensory technology, and OpenGL 3D rendering, combined with the functional advantages of the somatosensory virtual fitting system, focusing on the improvement and role of AR technology in the clothing customization process, effectively improving user satisfaction with clothing customization and saves production time and costs.

A study on 3D virtual body formation and deformation by body shape analysis

Purpose The purpose of this paper is to use body shape analysis and develop a 3D virtual body formation and deformation model that can accurately express size and shape. Design/methodology/approach In this paper, 1,882 sets of direct measurement data of Korean women in their 20s (19–29 years) were analyzed. These data sets were sourced from the sixth and seventh “Size Korea” anthropometric survey data. Through body shape analysis, the authors classified them into seven body types and selected their representative bodies. A 2D image based on the height, breadth, depth and length was first formed, and the representative virtual body was modeled using the polygon technique. The authors calculated the grading ratios for each body type according to the clothing sizing system, and modified the virtual body size type by morphing technique. Findings In order to accurately evaluate the fit in a virtual fitting system, it is necessary to study the body size and shape of the target age; this makes it possible to form virtual body reflecting the size and shape. Originality/value In this paper, the authors propose a new 3D virtual body formation method that is more accurate in shape and size compared to the present system. Through this, it will be possible to grasp the accurate simulation state in the virtual fitting system, and thereby evaluate the accurate fit.

A Study on the Body Shape Analysis for an Avatar Generation of the Virtual Fitting System-Focusing on Korean Women in their 20's-

In the virtual fitting system, the use of a 3D avatar is not a simple garment model, but it should be able to reproduce the size and shape of the customer using a fitting system. Although various virtual fitting systems have their own 3D avatar sizing systems and provide 3D avatars that match the size of the customer, there are limitations in realizing the actual body shape in actual use by the consumer. The purpose of this study is to realize a 3D avatar with excellent size and conformity for customer use. Therefore, this study aims to provide basic data for the formation of a 3D standard avatar of Korean women aged in their 20's, by comparing and analyzing the degree of the consumer user friendly system change of a body type, and the consumer’s ability in selecting a consumer representative body type. Based on the survey data of 'Size Korea' conducted from 2004 to 2015 at three times, we examined the change of body shape over 10 years. Then, based on the results of 6th and 7th data, 4 factors of the concurrent body shape change of women of the consumer demographic studied were selected through the use of a factor analysis. Following this analysis, the 4 extracted factors were clustered again and finally released 7 representative body types, which were obtained based on height and weight. The size of each representative figure is derived by the use of a regression analysis, and it is used as a basic data for 3D avatar formation of the virtual fitting system.

3차원 가상바디 변형을 위한 체형연구 - 40대 여성을 대상으로 -

The aim of this study was to successfully reflect human body changes on the transformation of the virtual body within 3D virtual fitting spaces. For this purpose, existing problems of shape transformation of the virtual body were analyzed and regression equations which provides useful basic data for transformation of the virtual body that can be applied usefully to the 3D virtual fitting system was developed. Necessary data for the analyses were body measurement and 3D scan data of women with average physical form between the ages of 40 through 49. The reason that we used human body changes of the female subjects in their forties was based on the recognition that fundamental female body changes start to occur from age of forty. Body shapes were largely divided into 3 groups according to obesity which was found to be the biggest factor of shape change. Seven factors were extracted based on factor analysis of 47 body measurement categories and regression equations were created to extract specific measurements for each BMI group based on these seven factors. The major contribution of this paper can be summarized as follows. First, the regression equations to extract specific measurements based on the 7 representative variables remediated existing problem of virtual bodies as it increased the number of body shape transformation areas. Second, the regression equations helped to overcome the problem of current failing to reflecting changes in body cross-section shape based on simple girth measurements based on analysis of cross-section distances.

Domestic 3D Virtual Fitting System Analysis and Design of New System

3D virtual fitting technology utilizes 3D industry standard to provide all-round 3D stereo visual effect for users to learn garment information when they are purchasing garment on line. This article introduces the current situation of domestic virtual fitting system, analyses the problems exiting in the system according to the current situation, and proposes vision of the new fitting system and the technical problems during the developing process.

Analysis on Technology Framework of 3D Virtual Fitting Based on Network

This paper first introduced the demand situation and difficulties which virtual fitting technology met under the environment of network, then gave an discussion of how to realize the technology framework of virtual fitting system, and this paper Summarized that the technology can be mainly divided into several aspects: 3D body measurement technology, digital human model fitting and 3D virtual fitting simulation etc.

Research on Image Binding Mechanism Based on Kinect Skeletal Tracking in Virtual Fitting System

On the basis of kinect skeleton track data module, proposing a skeleton track-bound algorithm, you can implement static clothing pictures real time interaction with dynamic characters, combined with WPF in Visual Studio 2010, the corresponding hardware and software resources, a set of accessible and language programming in c# virtual fitting system. Kinect human key joint points coordinates of the corresponding parameter, a corresponding operation, bound to the clothes in the image, makes the image size can be based on different size fitting character change, achieving the desired effect of fitting.

소비자의 기술 준비성, 패션 혁신성 및 참여수준 지각이 3차원 가상 피팅 시스템 수용의도에 미치는 영향

This study investigates the influence of technology readiness, fashion innovativeness, and participation level perception on the acceptance intention of 3D virtual fitting systems. We presented a 3D virtual fitting system with detailed information that was watched by respondents who subsequently completed a research questionnaire. The data were collected from 300 subjects with an age range of 21 to 39 who have experienced Internet shopping. Descriptive statistics, Cronbach`s alpha, factor analysis, correlation analysis, and multiple regression analysis were conducted. The results were as follows. First, fashion innovativeness, technology innovativeness, participation level perception, and optimism significantly influenced the acceptance intention. Second, fashion innovativeness, technology innovativeness, participation level perception, and optimism positively influenced the acceptance intention in the male group; however, technology innovativeness, participation level perception, optimism, and insecurity significantly influenced the acceptance intention in the female group. The results indicated that a marketing strategy has to be designed that focuses on consumers with high technology, fashion innovativeness, and optimism to increase the acceptance intention. In addition, markers have to enhance a participation level perception that will contribute to the introduction of 3D virtual fitting systems. Another notable finding was the importance to differentiate marketing strategies according to gender.

Extracting Feature Points of the Human Body Using the Model of a 3D Human Body

The purpose of this research is to recognize 3D shape features of a human body automatically using a 3D laser-scanning machine. In order to recognize the 3D shape features, we selected the 23 feature points of a body and modeled its 3D features. The set of 23 feature points consists of the motion axis of a joint, the main point for the bone structure of a human body. For extracting feature points of object model, we made 2.5D templates neighbor for each feature points were extracted according to the feature points of the standard model of human body. And the feature points were extracted by the template matching. The extracted feature points can be applied as body measurement, the 3D virtual fitting system for apparel etc.