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dc.contributor.authorBrown, Philip G.en_US
dc.contributor.authorLaycock, Stephen D.en_US
dc.contributor.authorDay, Andy M.en_US
dc.contributor.editorDavid Arnold and Jaime Kaminski and Franco Niccolucci and Andre Storken_US
dc.date.accessioned2013-11-08T10:32:38Z
dc.date.available2013-11-08T10:32:38Z
dc.date.issued2012en_US
dc.identifier.isbn978-3-905674-39-2en_US
dc.identifier.issn1811-864Xen_US
dc.identifier.urihttp://dx.doi.org/10.2312/VAST/VAST12/017-024en_US
dc.description.abstractHistoric maps provide fascinating insights into the growth and development of cities over large time periods, and often the places they document have changed dramatically since their creation. However, rasterised image data is limited in that it is not easily manipulatable, for either analysis or presentation of data, and it is not easy to use the data as a basis for reconstructions. If it were possible to extract vector outlines for building footprints from the map then these limitations would be removed, and the vector outlines could easily be used as a basis for three dimensional models representing the buildings. Manually defining building outlines from maps is a laborious process and so this paper investigates the use of image processing techniques to enable a semi-automatic process to detect vector outlines of buildings from a variety of maps and to optimise the output for use as a basis for creating large scale three dimensional reconstructions.en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectI.3.3 [Computer Graphics]en_US
dc.subjectPicture/Image Generationen_US
dc.subjectLine and curve generationen_US
dc.titleVectorising Building Footprints From Historic Mapsen_US
dc.description.seriesinformationVAST: International Symposium on Virtual Reality, Archaeology and Intelligent Cultural Heritageen_US


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