AUTOMATIC MULTI-IMAGE PHOTO-TEXTURING OF 3D SURFACE MODELS OBTAINED WITH LASER SCANNING

Grammatikopoulos, L; Kalisperakis, I; Karras, G; Kokkinos, T; Petsa, E

dc.contributor.author	Grammatikopoulos, L	en
dc.contributor.author	Kalisperakis, I	en
dc.contributor.author	Karras, G	en
dc.contributor.author	Kokkinos, T	en
dc.contributor.author	Petsa, E	en
dc.date.accessioned	2014-03-01T01:53:17Z
dc.date.available	2014-03-01T01:53:17Z
dc.date.issued	2004	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/26925
dc.relation.uri	http://users.ntua.gr/ilias_k/Publications/GKKKP_Lisbon_04.pdf	en
dc.subject	Bundle Adjustment	en
dc.subject	Close Range	en
dc.subject	Human Interaction	en
dc.subject	Laser Scanning	en
dc.subject	Power Modeling	en
dc.subject	Statistical Test	en
dc.subject	Surface Model	en
dc.subject	Surface Topography	en
dc.subject	Visual Quality	en
dc.title	AUTOMATIC MULTI-IMAGE PHOTO-TEXTURING OF 3D SURFACE MODELS OBTAINED WITH LASER SCANNING	en
heal.type	journalArticle	en
heal.publicationDate	2004	en
heal.abstract	The basic photogrammetric deliverable in heritage conservation is orthophotography (and other suitable raster projections) - closely followed today by a growing demand for photo-textured 3D surface models. The fundamental limitation of conventional photogram- metric software is twofold: it can handle neither fully 3D surface descriptions nor the question of image visibility. As a consequence, software which ignores both surface and	en