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dc.contributor.author | Gaitán, Mar | |
dc.contributor.author | Portalés, Cristina | |
dc.contributor.author | Sevilla Peris, Javier | |
dc.contributor.author | Alba Pagán, Ester | |
dc.date.accessioned | 2021-05-25T06:58:00Z | |
dc.date.available | 2021-05-25T06:58:00Z | |
dc.date.issued | 2020 | |
dc.identifier.citation | Gaitán, Mar Portalés, Cristina Sevilla, Javier Alba Pagán, Ester 2020 Applying Axial Symmetries to Historical Silk Fabrics: SILKNOW's Virtual Loom Symmetry-Basel 12 5 1 16 | |
dc.identifier.uri | https://hdl.handle.net/10550/79392 | |
dc.description.abstract | Symmetry is part of textile art in patterns and motifs that decorate fabrics, which are made by the interlacement of warp and wefts. Moreover, the 3D representation of fabrics have already been studied by some authors; however, they have not specifically dealt with preserving historical weaving techniques. In this paper, we present the SILKNOW's Virtual Loom, a tool intended to document, preserve and reproduce silk historical weaving techniques from the 15th to the 19th centuries. We focus on the symmetry function and its contribution to art history, textile conservation, and modern design. We analyzed 2028 records from Garin 1820 datasets¿a historical industry that still weaves with these techniques¿and we reconstructed some historical designs that presented different types of defects. For those images (including fabrics and drawings) that had a symmetrical axis, we applied the symmetry functionality allowing to reconstruct missing parts. Thanks to these results, we were able to verify the usefulness of the Virtual Loom for conservation, analysis and new interpretative advantages, thanks to symmetry analysis applied to historical fabrics. | |
dc.language.iso | eng | |
dc.relation.ispartof | Symmetry-Basel, 2020, vol. 12, num. 5, p. 1-16 | |
dc.subject | Indústria tèxtil | |
dc.title | Applying Axial Symmetries to Historical Silk Fabrics: SILKNOW's Virtual Loom | |
dc.type | journal article | es_ES |
dc.date.updated | 2021-05-25T06:58:02Z | |
dc.identifier.doi | 10.3390/sym12050742 | |
dc.identifier.idgrec | 146945 | |
dc.rights.accessRights | open access | es_ES |