Deep weathering effects
dc.contributor.author
dc.date.accessioned
2023-04-28T12:23:16Z
dc.date.available
2023-04-28T12:23:16Z
dc.date.issued
2023-05
dc.identifier.uri
dc.description.abstract
Weathering phenomena are ubiquitous in urban environments, where it is easy to observe severely degraded old buildings as a result of water penetration. Despite being an important part of any realistic city, this kind of phenomenon has received little attention from the Computer Graphics community compared to stains resulting from biological or flow effects on the building exteriors. In this paper, we present physically-inspired deep weathering effects, where the penetration of humidity (i.e., water particles) and its interaction with a building’s internal structural elements result in large, visible degradation effects. Our implementation is based on a particle-based propagation model for humidity propagation, coupled with a spring-based interaction simulation that allows chemical interactions, like the formation of rust, to deform and destroy a building’s inner structure. To illustrate our methodology, we show a collection of deep degradation effects applied to urban models involving the creation of rust or of ice within walls
dc.description.sponsorship
This work was also partially funded by Grant PID2021-122136OB-C22 funded by MCIN/AEI/10.13039/501100011033 and by ERDF A way of making Europe
Open Access funding provided thanks to the CRUE-CSIC agreement with Elsevier
dc.format.mimetype
application/pdf
dc.language.iso
eng
dc.publisher
Elsevier
dc.relation
PID2021-122136OB-C22
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Reproducció digital del document publicat a: https://doi.org/10.1016/j.cag.2023.03.006
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Computers & Graphics, 2023, vol. 112, p.40-49
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Articles publicats (D-IMA)
dc.rights
Attribution 4.0 International
dc.rights.uri
dc.subject
dc.title
Deep weathering effects
dc.type
info:eu-repo/semantics/article
dc.rights.accessRights
info:eu-repo/semantics/openAccess
dc.relation.projectID
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2021-122136OB-C22/ES/ENTORNOS 3D DE ALTA FIDELIDAD PARA REALIDAD VIRTUAL Y COMPUTACIÓN VISUAL: MODELADO DE APARIENCIA Y VISUALIZACIÓN PARA PATRIMONIO CULTURAL Y APLICACIONES DE NEUROCIENCIA/
dc.type.version
info:eu-repo/semantics/publishedVersion
dc.identifier.doi
dc.contributor.funder
dc.type.peerreviewed
peer-reviewed
dc.relation.FundingProgramme
dc.relation.ProjectAcronym
dc.identifier.eissn
0097-8493