A proposal to model ancient silk weaving techniques and extracting information from digital imagery - ongoing results of the SILKNOW Project
NAGIOS: RODERIC FUNCIONANDO

A proposal to model ancient silk weaving techniques and extracting information from digital imagery - ongoing results of the SILKNOW Project

DSpace Repository

A proposal to model ancient silk weaving techniques and extracting information from digital imagery - ongoing results of the SILKNOW Project

Show simple item record

dc.contributor.author Portalés, Cristina
dc.contributor.author Sevilla, Javier
dc.contributor.author Pérez, Manolo
dc.contributor.author León, Arabella
dc.date.accessioned 2019-07-09T10:05:19Z
dc.date.available 2019-07-09T10:05:19Z
dc.date.issued 2019 es_ES
dc.identifier.uri https://hdl.handle.net/10550/70768
dc.description.abstract 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. es_ES
dc.language.iso es es_ES
dc.relation info:eu-repo/grantAgreement/EC/H2020/769504/EU/SILKNOW/SILKNOW
dc.relation CULT-COOP-9
dc.source Portalés C., Sevilla J., Pérez M., León A. (2019) A proposal to model ancient silk weaving techniques and extracting information from digital imagery - ongoing results of the SILKNOW Project. In: Rodrigues J. et al. (eds) Computational Science – ICCS 2019. ICCS 2019. Lecture Notes in Computer Science, vol 11540. Springer, Cham es_ES
dc.title A proposal to model ancient silk weaving techniques and extracting information from digital imagery - ongoing results of the SILKNOW Project es_ES
dc.type info:eu-repo/semantics/lecture es_ES
dc.subject.unesco UNESCO::CIENCIAS TECNOLÓGICAS es_ES
dc.identifier.doi https://doi.org/10.1007/978-3-030-22750-0_72 es_ES
dc.description.abstractenglish 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. es_ES

View       (2.856Mb)

This item appears in the following Collection(s)

Show simple item record

Search DSpace

Advanced Search

Browse

Statistics