Practical Method to Estimate Fabric Mechanics from Metadata

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dc.contributor.authorDominguez-Elvira, Henaren_US
dc.contributor.authorNicás, Aliciaen_US
dc.contributor.authorCirio, Gabrielen_US
dc.contributor.authorRodríguez, Alejandroen_US
dc.contributor.authorGarces, Elenaen_US
dc.contributor.editorBermano, Amit H.en_US
dc.contributor.editorKalogerakis, Evangelosen_US
dc.date.accessioned2024-04-30T09:08:01Z
dc.date.available2024-04-30T09:08:01Z
dc.date.issued2024
dc.description.abstractEstimating fabric mechanical properties is crucial to create realistic digital twins. Existing methods typically require testing physical fabric samples with expensive devices or cumbersome capture setups. In this work, we propose a method to estimate fabric mechanics just from known manufacturer metadata such as the fabric family, the density, the composition, and the thickness. Further, to alleviate the need to know the fabric family –which might be ambiguous or unknown for nonspecialists– we propose an end-to-end neural method that works with planar images of the textile as input. We evaluate our methods using extensive tests that include the industry standard Cusick and demonstrate that both of them produce drapes that strongly correlate with the ground truth estimates provided by lab equipment. Our method is the first to propose such a simple capture method for mechanical properties outperforming other methods that require testing the fabric in specific setups.en_US
dc.description.number2
dc.description.sectionheadersCloth Simulation
dc.description.seriesinformationComputer Graphics Forum
dc.description.volume43
dc.identifier.doi10.1111/cgf.15029
dc.identifier.issn1467-8659
dc.identifier.pages12 pages
dc.identifier.urihttps://doi.org/10.1111/cgf.15029
dc.identifier.urihttps://diglib.eg.org/handle/10.1111/cgf15029
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectCCS Concepts: Computing methodologies -> Computer vision; Neural networks; Computer graphics
dc.subjectComputing methodologies
dc.subjectComputer vision
dc.subjectNeural networks
dc.subjectComputer graphics
dc.titlePractical Method to Estimate Fabric Mechanics from Metadataen_US
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