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    Advanced virtual tools for digital acquisition and visual/haptic XR interaction for textile industry

    STATUS

    Completed

    DATE

    2023 / 2025

    PROJECT SCALE

    IT

    RESEARCH UNIT(S)
    Advanced Design Unit / Dipartimento di Architettura, Università di Bolgona / Dipartimento di Matematica, Università di Bologna
    FUNDINGS

    PE 11 3A-Italy Partenariato Made in Italy Circolare Sostenibile (MICS)

    TIPOLOGIA
    RESEARCH FACILITIES


    HEAD of PROJECT

    Michele Zannoni

    RESEARCH TEAM
    Carolina Beccari / Paolo Cignoni / Riccardo Foschi / Martin Huska / Serena Morigi
    COLLABORATORS
    Gaeta Benedetta / Ghidoni Gaia / Ponchio Federico / Pucci Diego / Saponelli Roberto
    PARTNERS

    CNR - ISTI / Sacmi

    DESCRIZIONE

    The project aims to exploit digital tools to reproduce dematerialized textiles without loss of quality. The project stems from the need to develop a virtual system that supports sharing and collaboration in design processes, even at a distance. The intended output is an initial archive of virtual materials that can be rendered both visually and tactilely.
    The research action was conducted through three main directions, the first one involves the material acquisition workflow, the second one regards the mathematical manipulation of the virtual textile sample suppling solutions to the 2d to 3d texture transformation, the third one treats the haptic characterization of the textile virtual counterparts, and the last one is the proposed workflow experimentation. 

    IMPATTI E RISULTATI

    The first proof of concept consists in the acquisition workflow and transformation of the physical sample into virtual counterpart. The second one, concerns the workflow of setting and haptic perception of tissues. Regarding impacts, it leverages the simplicity of the designed processes to make the developed virtual approaches economical and within the reach of non-digitally skilled technicians and to SMEs with limited investment resources.
    The virtual fabric archive aims to condense the know-how acquired during the project into a comprehensive architecture that is easy and intuitive to navigate, enabling SMEs and other stakeholders to dialogue about materials, including innovative ones, reducing transfer and sampling volumes, containing raw material waste and making the early stages of the design process more sustainable, both economically and environmentally. 
    - Main results: 
    - Virtual acquisition of different textile samples
    - High-quality acquisition validated by a comparison test with similar acquisition made with a commercial solution 
    - Good impact of combining visual and haptic stimuli in the association of digital textile to its real counterpart
    - Specific innovations: 
    - Elaboration and extraction of micro and macro structure from the textile sample
    - Normal map elaboration thanks to Relight software implementation
    - Development of “SALA frame”, a tool used as reference in the picture acquisition phase, useful to optimize the software calculation 

    + LINKS & DOWNLOAD

    https://resource.mics.tech/project-detail/112

    PUBBLICAZIONI

    Foschi, R., Ponchio, F., & Cignoni, P. (2025). A reliable, affordable, low-cost, and open-source tool for fabric surface acquisition for the textile industry. In Digital Advanced Design (pp. 141–154). ITA. https://cris.unibo.it/handle/11585/1020857

    Ghidoni, G., Foschi, R., Huska, M., & Morigi, S. (2025). Next-Gen Textile Industry: From Digital Acquisition to Displacement Mapping. In Digital Advanced Design (pp. 141–154). ITA. https://cris.unibo.it/handle/11585/1020857

    Girometti, L., Huska, M., Lanza, A., & Morigi, S. (s.d.). Convex Predictor–Nonconvex Corrector Optimization Strategy with Application to Signal Decomposition | Journal of Optimization Theory and Applications. Recuperato 1 dicembre 2025, da https://link.springer.com/article/10.1007/s10957-024-02479-2

    He, R. Y., Huska, M., & Liu, H. (2025). Image Decomposition with G-Norm Weighted by Total Symmetric Variation. In T. A. Bubba, R. Gaburro, S. Gazzola, K. Papafitsoros, M. Pereyra, & C.-B. Schönlieb (A c. Di), Scale Space and Variational Methods in Computer Vision (pp. 55–68). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-92369-2_5

    Vignali, V., Zannoni, M., & Pucci, D. (2024). The future evolution of design-oriented practices in the context of human and non-human collaboration. Design Across Borders: United in Creativity, 13, 1907–1925.

    Zannoni, M., Foschi, R., Pucci, D., & Saponelli, R. (2024). An Immersive Haptic Experimentation for Dematerialized Textile Perception in Collaborative Design Processes. SCIRES-IT - SCIentific RESearch and Information Technology, 14(1), 129–146. https://doi.org/10.2423/i22394303v14n1p129

    Zannoni, M., Saponelli, R., Pucci, D., & Rosato, L. (2025). Haptic perception and enhancement of the interactive textile XR experience. In Digital Advanced Design (pp. 141–154). ITA. https://cris.unibo.it/handle/11585/1020857

    PARTNERS

    Advanced virtual tools for digital acquisition and visual/haptic XR interaction for textile industry
    Advanced virtual tools for digital acquisition and visual/haptic XR interaction for textile industry