A mixed human body modeling method based on 3D body scanning for clothing industry

Abstract

Purpose The purpose of this paper is to propose a relatively simple and rapid method to create a digital human model (DHM) to serve clothing industry. Design/methodology/approach Human body’s point cloud is divided into hands, foots, head and torso. Then forward modeling method is used to model hands and foots, photo modeling method is used to model head and reverse modeling method is used to model torso. After that, hands, foots, head and torso are integrated together to get a static avatar. Next, virtual skeleton is bound to the avatar. Finally, a lifelike digital human body model is created by the mixed modeling method (MMM). Findings In allusion to the defect of the three-dimension original data of human body, this paper presented an MMM, with which we can get a realistic digital human body model with accurate body dimensions. The DHM can well meet the needs of fashion industry. Practical implications The DHM, which is got by the MMM, can be well applied in the field of virtual try on, virtual fashion design, virtual fashion show and so on. Originality/value The originality of the paper lies in the integration of forward modeling, reverse modeling and photo modeling to present a novel method of human body modeling.

Privacy paradox in 3D body scanning technology: the effect of 3D virtual try-on experience in the relationship between privacy concerns and mobile app adoption intention

“…Later, several researchers found that privacy concerns increased the perception of intrusiveness, in which consumers are required to share their body images (i.e., photorealistic avatar) with the VTO service provider (i.e., mobile photo-based VTO service app; Zhang et al, 2019;Ivanov et al, 2022b). Although many studies have focused on the Avatar-based service, discussion about consumers' responses toward potential integration of the VTO service with 3D body scanning technologies is omitted, especially regarding privacy concerns (e.g., Lin and Kang, 2019).…”

“…Even though the VTO service did not build an Avatar based on a 360-degree modeling process (i.e., front try-on image is only available; Zhang et al, 2019), scholars mentioned that consumers' privacy concerns would increase when posting their photo (Zhang et al, 2019). Given the great potential of 3D body scanning technologies incorporated into Avatar-based VTO with a 3D modeling process (Lin and Kang, 2019), it is timely to understand the effects of body information privacy concerns on future adoption of the VTO service that incorporates 3D body scanning technology, and the way to reduce its negative effects on future adoption.…”

“…Perceived personalization refers to a belief that received responses are appropriate and personally relevant to personal needs on the website (Davis, 1982). In the context of dyadic interaction between a customer and service provider, a higher level of VTO services' personalization increases service quality and customer satisfaction (Jin et al, 2020;Lin and Kang, 2019).…”

“…To close the gap, this study attempts to understand online consumers' adoption of the mobile 3D body scanning technology for the following reasons. First, although the privacy concern is implied, scholarly and industry professionals expect that VTO services integrated with 3D body scanning technology will be an emerging leading technology among online service sectors targeting personalized demands (Govisetech, 2021;Lin and Kang, 2019). Indeed, it is timely and necessary to understand the negative effect of consumers' body information privacy concerns on their future intention to adopt mobile 3D body scanning technology.…”

Prediction and categorization of fabric drapability for 3D garment virtualization

“…IT technologies used in the textile and fashion industry include 3D pattern making, anthropometry through 3D scanning, 3D virtualization, and 3D printing production (Arribas and Alfaro, 2018; Lim and Istook, 2011; Liu et al , 2017; Liu et al , 2018; Stylios and Wan, 1999). Such 3D fashion technologies are considered to be core technologies leading the fourth industrial revolution or “Industry 4.0” by improving manufacturing productivity, generating greater profits, and allowing more sharing of information, and they are ultimately expected to lead industry trends, such as manufacturing innovation, changes in values around consumption, and eco-friendly future business (Pundir, 2007).…”