6533b826fe1ef96bd1283ea4

RESEARCH PRODUCT

Towards the Preservation and Dissemination of Historical Silk Weaving Techniques in the Digital Era

Mar GaitánArabella LeónManolo PérezCristina PortalésEster AlbaJavier Sevilla

subject

ArcheologyArchitectural engineering:CIENCIAS TECNOLÓGICAS [UNESCO]Computer scienceMaterials Science (miscellaneous)02 engineering and technologyConservationmodelling0202 electrical engineering electronic engineering information engineeringmedia_common.cataloged_instancesilklcsh:CC1-960MacroEuropean unionWeavingmedia_commonStructure (mathematical logic)Scope (project management)business.industryFrame (networking)020207 software engineeringweavingUNESCO::CIENCIAS TECNOLÓGICASdesignsVariety (cybernetics)image processingTechnical drawinglcsh:Archaeology020201 artificial intelligence & image processingbusiness3D

description

Historical weaving techniques have evolved in time and space giving as result more or less fabrics with different aesthetical characteristics. These techniques were transferred along the main silk production centers, thanks to the European Silk Road and creating a common European Frame on themes and techniques. These had made it complicated to determine whether a fabric corresponds to one century or another. Moreover, in order to understand their creation, it is necessary to determine the number of weaves and interlacements that each textile has, therefore, mathematical models can be extracted from these layers. In this sense, 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 aim of this paper is to propose a mathematical modelling of historical weaving techniques by means of matrices in order to be easily mapped to a virtual 3D representation. The work focuses on historical 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&rsquo

10.3390/heritage2030115https://www.mdpi.com/2571-9408/2/3/115