Another Brick in the Wall: Improving the Assisted Semantic Segmentation of Masonry Walls

Simple item page
dc.contributor.authorPavoni, Gaiaen_US
dc.contributor.authorGiuliani, Francescaen_US
dc.contributor.authorFalco, Anna Deen_US
dc.contributor.authorCorsini, Massimilianoen_US
dc.contributor.authorPonchio, Federicoen_US
dc.contributor.authorCallieri, Marcoen_US
dc.contributor.authorCignoni, Paoloen_US
dc.contributor.editorSpagnuolo, Michela and Melero, Francisco Javieren_US
dc.date.accessioned2020-11-17T17:51:35Z
dc.date.available2020-11-17T17:51:35Z
dc.date.issued2020
dc.description.abstractIn Architectural Heritage, the masonry's interpretation is an essential instrument for analyzing the construction phases, the assessment of structural properties, and the monitoring of its state of conservation. This work is generally carried out by specialists that, based on visual observation and their knowledge, manually annotate ortho-images of the masonry generated by photogrammetric surveys. This results in vectorial thematic maps segmented according to their construction technique (isolating areas of homogeneous materials/structure/texture) or state of conservation, including degradation areas and damaged parts. This time-consuming manual work, often done with tools that have not been designed for this purpose, represents a bottleneck in the documentation and management workflow and is a severely limiting factor in monitoring large-scale monuments (e.g.city walls). This paper explores the potential of AI-based solutions to improve the efficiency of masonry annotation in Architectural Heritage. This experimentation aims at providing interactive tools that support and empower the current workflow, benefiting from specialists' expertise.en_US
dc.description.sectionheadersGeometry and Modelling
dc.description.seriesinformationEurographics Workshop on Graphics and Cultural Heritage
dc.identifier.doi10.2312/gch.20201291
dc.identifier.isbn978-3-03868-110-6
dc.identifier.issn2312-6124
dc.identifier.pages43-51
dc.identifier.urihttps://doi.org/10.2312/gch.20201291
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/gch20201291
dc.publisherThe Eurographics Associationen_US
dc.subjectApplied computing
dc.subjectArchitecture (buildings)
dc.subjectComputing methodologies
dc.subjectArtificial intelligence
dc.subjectHuman
dc.subjectcenteredcomputing
dc.subjectInteractive systems and tools
dc.titleAnother Brick in the Wall: Improving the Assisted Semantic Segmentation of Masonry Wallsen_US
Files
Collections
GCH 2020 - Eurographics Workshop on Graphics and Cultural Heritage