TY  - CPAPER
U1  - Konferenzveröffentlichung
A1  - Danner, Michael
A1  - Brake, Elena
A1  - Decker, Christian
A1  - Rätsch, Matthias
A1  - Kyosev, Yordan
A1  - Rose, Katerina
T1  - Evaluation of low-cost 3D scanner hardware for clothing industry
T2  - Proceedings of the 20th International Conference on Informatics in Control, Automation and Robotics (ICINCO 2023) : Volume 1, 13-15 November 2023, Rome, Italy
N2  - In recent years, the demand for accurate and efficient 3D body scanning technologies has increased, driven by the growing interest in personalised textile development and health care. This position paper presents the implementation of a novel 3D body scanner that integrates multiple RGB cameras and image stitching techniques to generate detailed point clouds and 3D mesh models. Our system significantly enhances the scanning process, achieving higher resolution and fidelity while reducing the cost, time and effort required for data acquisition and processing. Furthermore, we evaluate the potential use cases and applications of our 3D body scanner, focusing on the textile technology and health sectors. In textile development, the 3D scanner contributes to bespoke clothing production, allowing designers to construct made-to-measure garments, thus minimising waste and enhancing customer satisfaction through fitting clothing. In mental health care, the 3D body scanner can be employed as a tool for body image analysis, providing valuable insights into the psychological and emotional aspects of self-perception. By exploring the synergy between the 3D body scanner and these fields, we aim to foster interdisciplinary collaborations that drive advancements in personalisation, sustainability, and well-being.
KW  - 3D body scanner
KW  - 2D-3D reconstruction
KW  - textile technology
KW  - garment fit
KW  - mental health
Y1  - 2023
UN  - https://nbn-resolving.org/urn:nbn:de:bsz:rt2-opus4-46737
SN  - 2184-2809
SS  - 2184-2809
SN  - 978-989-758-670-5
SB  - 978-989-758-670-5
U6  - https://doi.org/10.5220/0012231800003543
DO  - https://doi.org/10.5220/0012231800003543
SP  - 727
EP  - 735
S1  - 9
PB  - SciTePress
CY  - Setúbal, Portugal
ER  -