M. Kaseris et al., "3D Scanning Technology for the Rapid Modelling of Fashion Clothing", Proc. of 3DBODY.TECH 2023 - 14th Int. Conf. and Exh. on 3D Body Scanning and Processing Technologies, Lugano, Switzerland, 17-18 Oct. 2023, #46, https://doi.org/10.15221/23.46.

Title:

3D Scanning Technology for the Rapid Modelling of Fashion Clothing

Authors:

Michail KASERIS 1, Apostolos BOUMPAKIS 1, Nikolaos KLADOVASILAKIS 1, Vasileios PISSAS 2, Paschalis CHARALAMPOUS 1, Ioannis KOSTAVELIS 1, Evridiki PAPACHRISTOU 2,3, Sotirios MALASSIOTIS 1, Nikolaos BILALIS 2, Dimitrios TZOVARAS 1

1 Information Technology Institute, Thessaloniki, Greece;
2 Technical University of Crete, Chania, Greece;
3 International Hellenic University, Greece

Abstract:

The present research study addresses the prevalent issues of inefficient and time consuming garment pattern design in the fashion industry despite the recent advances in 3D product design. Fashion designers often lack efficient tools and readily available templates, which hinders their productivity and limits creative exploration. In order to overcome these obstacles, a solution that aids in garment pattern design by providing a comprehensive resource for content-based retrieval of image and 3D point-cloud data is proposed. The introduced software tool leverages a curated database to offer pattern designers access to an extensive collection of diverse garment designs, encompassing various styles, cuts, and aesthetics. The developed 3D point cloud retrieval architecture was designed to learn a similarity metric tailored for garments represented as 3D point clouds allowing the efficient exploration as well as selection of design patterns based on structural and stylistic attributes. Via the exploitation of machine learning algorithms, the retrieval architecture significantly reduces the time and effort required for the design ideation phase. Additionally, a demonstration of the applied process concerning the digitizing physical garments using a 3D structural scanner was seamlessly integrated utilizing real-world garments into the presented system and storing them in a digital pattern database. This approach represents a pioneering solution for rapid garment prototyping from the designer's standpoint, providing a valuable aid that accelerates the design process and encourages creative exploration. In addition, this research contributes to the literature on retrieval and metric learning for 3D garment fashion retrieval, opening that way new avenues for research and development in garment design, prototyping, and digital fashion innovation. In conclusion, the introduced software serves as a comprehensive solution that addresses the productivity hindrance faced by fashion designers, offering a transformative approach to garment pattern design and contributing to advancements in the field of digital fashion.

Keywords:

3d garment scanning, content-based retrieval, garment prototyping

Details/PDF/VIDEO:

Full paper: PDF
Presentation: VIDEO
Proceedings: 3DBODY.TECH 2023, 17-18 Oct. 2023, Lugano, Switzerland
Paper id#: 46
DOI: 10.15221/23.46

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