id
	15451
Url
	https://chloe.cnr.it/s/BiDiAr/item/15451
Resource template
	Conference Paper
Resource class
	fabio:ConferencePaper
Title
	Stone-by-Stone Segmentation for Monitoring Large Historical Monuments Using Deep Neural Networks
Creator
	Koubouratou, Idjaton
	Desquesnes, Xavier
	Treuillet, Sylvie
	Brunetaud, Xavier
Publisher
	Springer International Publishing
Date
	2021
Language
	eng
Abstract
	Monitoring and restoration of cultural heritage buildings require the definition of an accurate health record. A critical step is the labeling of the exhaustive constitutive elements of the building. Stone-by-stone segmentation is a major part. Traditionally it is done by visual inspection and manual drawing on a 2D orthomosaic. This is an increasingly complex, time-consuming and resource-intensive task.
Is Part Of
	Pattern Recognition. ICPR International Workshops and Challenges
Spatial Coverage
	Cham
Doi
	https://doi.org/10.1007/978-3-030-68787-8_17
Isbn
	978-3-030-68787-8
Pages
	235-248
Homepage
	https://www.zotero.org/groups/5293298/bidiar/items/NE5IFPFA/item-list
In series
	Lecture Notes in Computer Science

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