6533b870fe1ef96bd12d054f
RESEARCH PRODUCT
A Proposal to Model Ancient Silk Weaving Techniques and Extracting Information from Digital Imagery - Ongoing Results of the SILKNOW Project
Javier SevillaCristina PortalésArabella LeónManolo Pérezsubject
Structure (mathematical logic)Scope (project management)Computer sciencebusiness.industry020207 software engineering02 engineering and technologyData scienceGeneralLiterature_MISCELLANEOUSVariety (cybernetics)Technical drawing0202 electrical engineering electronic engineering information engineeringmedia_common.cataloged_instance020201 artificial intelligence & image processingEuropean unionWeavingbusinessmedia_commondescription
Three dimensional (3D) virtual representations of the internal structure of textiles are of interest for a variety of purposes related to fashion, industry, education or other areas. The modeling of ancient weaving techniques is relevant to understand and preserve our heritage, both tangible and intangible. However, ancient techniques cannot be reproduced with standard approaches, which usually are aligned with the characteristics of modern, mechanical looms. The aim of this paper is to propose a mathematical modelling of ancient weaving techniques by means of matrices in order to be easily mapped to a virtual 3D representation. The work focuses on ancient silk textiles, ranging from the 15th to the 19th centuries. We also propose a computer vision-based strategy to extract relevant information from digital imagery, by considering different types of images (textiles, technical drawings and macro images). The work here presented has been carried out in the scope of the SILKNOW project, which has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No. 769504.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2019-01-01 | Computational Science – ICCS 2019 - 19th International Conference, Faro, Portugal, June 12–14, 2019, Proceedings, Part V |