Evaluation of low-cost 3D scanner hardware for clothing industry
- 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.
Author of HS Reutlingen | Danner, Michael; Brake, Elena Alida; Decker, Christian; Rose, Katerina |
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URN: | urn:nbn:de:bsz:rt2-opus4-46737 |
DOI: | https://doi.org/10.5220/0012231800003543 |
ISBN: | 978-989-758-670-5 |
ISSN: | 2184-2809 |
Erschienen in: | Proceedings of the 20th International Conference on Informatics in Control, Automation and Robotics (ICINCO 2023) : Volume 1, 13-15 November 2023, Rome, Italy |
Publisher: | SciTePress |
Place of publication: | Setúbal, Portugal |
Document Type: | Conference proceeding |
Language: | English |
Publication year: | 2023 |
Tag: | 2D-3D reconstruction; 3D body scanner; garment fit; mental health; textile technology |
Page Number: | 9 |
First Page: | 727 |
Last Page: | 735 |
DDC classes: | 620 Ingenieurwissenschaften und Maschinenbau |
Open access?: | Ja |
Licence (German): | Creative Commons - CC BY-NC-ND - Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International |