Results 1 to 10 of about 5,448 (259)
Combining protective clothes with human body models for finite element ballistic impact simulations
Communications in Development and Assembling of Textile Products, 2023 The ballistic deformation of an ultra-high-molecular-weight (UHMW) polyethylene (PE) composite has been subjected numerically to a multi-layered soft ballistic fabric package modelled upon the body contours of the Global Human Body Models Consortium ...
Matthias Boljen +3 more
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Point-Based Modeling of Human Clothing [PDF]
2021 IEEE/CVF International Conference on Computer Vision (ICCV), 2021 We propose a new approach to human clothing modeling based on point clouds. Within this approach, we learn a deep model that can predict point clouds of various outfits, for various human poses, and for various human body shapes. Notably, outfits of various types and topologies can be handled by the same model. Using the learned model, we can infer the
Ilya Zakharkin +3 more
openaire +5 more sources
Application of 3D technologies in modeling the design of clothes with elements of national décor
Алматы технологиялық университетінің хабаршысы, 2021 This article presents the results of modeling and designing modern clothing with national decorative elements using the program of three-dimensional modeling of Marvelous Designer, AutoCAD and CLO 3D.
Sh. G. Djurayeva +2 more
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Learning Users’ Visual Preferences for Improving Recommendations
IEEE Access, 2022 Sequential recommender systems (SRSs) aim to predict the next item interest to a user by learning the users’ dynamic preferences over items from the sequential user-item interactions.
Shoujin Wang +4 more
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Utilization of Digital Technology in Designing and Producing Zero Waste Clothes with Sustainability Approach [PDF]
Āmūzish-i Muḥīṭ-i Zīst va Tusi̒ah-i Pāydār, 2020 Consumerism is a new phenomenon created in the 21st century that can play a substantial role in the destruction of national resources of any country. Nowadays, concerning the ever-increasing improvement of fashion in the world, consumerism in the field ...
Farideh Talebpour +2 more
doaj +1 more source
Investigating Factors Affecting the Adoption of Virtual Fitting Room in Iranian Sportswear Stores: Application of CAT Theory [PDF]
Research in Sport Management and Marketing, 2023 Purpose: Trying on clothes in sportswear stores is a very time-consuming and tiring task. Virtual fitting rooms provides conditions where online consumers can try on the clothes they want before shopping.
Seyyed iman Ghaffarisadr +1 more
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Advances in Multimedia, 2022 In order to realize the popularization of customized clothing and augmented reality technology (AR), a design scheme of clothing customization system based on AR somatosensory interactive recognition imaging technology is proposed and studied.
Wenjuan Tao
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Parametrized shape models for clothing [PDF]
2011 IEEE International Conference on Robotics and Automation, 2011 We consider the problem of recognizing the configuration of clothing articles when crudely spread out on a flat surface, prior to and during folding. At the core of our approach are parametrized shape models for clothing articles. Each clothing category has its own shape model, and the variety in shapes for a given category is achieved through ...
Miller, Stephen +3 more
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Modeling desorption and adsorption kinetics of reactive red 195 in washing microenvironment
Journal of Engineered Fibers and Fabrics, 2022 The faded-on stains of cotton clothes are a common daily phenomenon. The desorption and adsorption of reactive dyes are theoretically responsible for the faded-on stains on cotton clothes in the washing microenvironment, especially when the light color ...
Xu Zhao +4 more
doaj +1 more source
A Generative Model of People in Clothing [PDF]
2017 IEEE International Conference on Computer Vision (ICCV), 2017 We present the first image-based generative model of people in clothing for the full body. We sidestep the commonly used complex graphics rendering pipeline and the need for high-quality 3D scans of dressed people. Instead, we learn generative models from a large image database.
Christoph Lassner +2 more
openaire +3 more sources