Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/2762
DC FieldValueLanguage
dc.contributor.authorPoullis, Charalambos-
dc.contributor.authorYou, Suya-
dc.contributor.authorNeumann, Ulrich-
dc.date.accessioned2013-02-18T12:59:40Zen
dc.date.accessioned2013-05-16T13:33:04Z-
dc.date.accessioned2015-12-02T12:04:42Z-
dc.date.available2013-02-18T12:59:40Zen
dc.date.available2013-05-16T13:33:04Z-
dc.date.available2015-12-02T12:04:42Z-
dc.date.issued2008-
dc.identifier.citationIEEE Virtual Reality, 2008, Renoen_US
dc.identifier.urihttps://hdl.handle.net/20.500.14279/2762-
dc.description.abstractThe rapid and efficient creation of virtual environments has become a crucial part of virtual reality applications. In particular, civil and defense applications often require and employ detailed models of operations areas for training, simulations of different scenarios, planning for natural or man-made events, monitoring, surveillance, games and films. A realistic representation of the large-scale environments is therefore imperative for the success of such applications since it increases the immersive experience of its users and helps reduce the difference between physical and virtual reality. However, the task of creating such large-scale virtual environments still remains a time-consuming and manual work. In this work we propose a novel method for the rapid reconstruction of photorealistic large-scale virtual environments. First, a novel parameterized geometric primitive is presented for the automatic building detection, identification and reconstruction of building structures. In addition, buildings with complex roofs containing non-linear surfaces are reconstructed interactively using a nonlinear primitive. Secondly, we present a rendering pipeline for the composition of photorealistic textures which unlike existing techniques it can recover missing or occluded texture information by integrating multiple information captured from different optical sensors (ground, aerial and satellite).en_US
dc.formatpdfen_US
dc.language.isoenen_US
dc.rights©2008 IEEE.en_US
dc.subjectVirtual realityen_US
dc.subjectLarge scale systemsen_US
dc.subjectPipelinesen_US
dc.titleRapid creation of large-scale photorealistic virtual environmentsen_US
dc.typeConference Papersen_US
dc.affiliationUniversity of Southern Californiaen
dc.collaborationUniversity of Southern Californiaen_US
dc.subject.categoryComputer and Information Sciencesen_US
dc.countryUSAen_US
dc.subject.fieldNatural Sciencesen_US
dc.identifier.doi10.1109/VR.2008.4480767en_US
dc.dept.handle123456789/54en
cut.common.academicyear2020-2021en_US
item.openairecristypehttp://purl.org/coar/resource_type/c_c94f-
item.grantfulltextnone-
item.cerifentitytypePublications-
item.fulltextNo Fulltext-
item.languageiso639-1en-
item.openairetypeconferenceObject-
crisitem.author.deptDepartment of Multimedia and Graphic Arts-
crisitem.author.facultyFaculty of Fine and Applied Arts-
crisitem.author.orcid0000-0001-5666-5026-
crisitem.author.parentorgFaculty of Fine and Applied Arts-
Appears in Collections:Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation
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