Authors:
Michael Danner
1
;
Elena Brake
1
;
Christian Decker
1
;
Matthias Rätsch
1
;
Yordan Kyosev
2
and
Katerina Rose
1
Affiliations:
1
Reutlingen Research Institute, Reutlingen University, Alteburgstraße 150, Reutlingen, Germany
;
2
Institute of Textile Machinery and High-Performance Material Technology, Chair of Development and Assembly of Textile Products, Technische Universität Dresden, Dresden, Germany
Keyword(s):
3D Body Scanner, 2D-3D Reconstruction, Textile Technology, Garment Fit, Mental Health.
Abstract:
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.
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