Generation of orthoimages and perspective views with automatic visibility checking and texture blending

dc.contributor.author	Καρράς, Γιώργος	el
dc.contributor.author	Γραμματικόπουλος, Λάζαρος	el
dc.contributor.author	Καλησπεράκης, Ηλίας	el
dc.contributor.author	Πέτσα, Έλλη	el
dc.date.accessioned	2015-03-17T08:56:33Z
dc.date.available	2015-03-17T08:56:33Z
dc.date.issued	2015-03-17
dc.identifier.uri	http://hdl.handle.net/11400/8072
dc.rights	Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/us/	*
dc.source	http://info.asprs.org/publications/pers/2007journal/april/2007_apr_403-411.pdf	el
dc.subject	orthophotography
dc.subject	Photogrammetric pictures
dc.subject	Remote sensing
dc.subject	Ορθοεικόνιση
dc.subject	Φωτογραμμετρικές εικόνες
dc.subject	Τηλεπισκόπηση
dc.title	Generation of orthoimages and perspective views with automatic visibility checking and texture blending	en
heal.type	journalArticle
heal.classification	Topography
heal.classification	Geodesy
heal.classification	Τοπογραφία
heal.classification	Γεωδαισία
heal.classificationURI	http://skos.um.es/unescothes/C04078
heal.classificationURI	http://id.loc.gov/authorities/subjects/sh85053969
heal.classificationURI	N/A-Τοπογραφία
heal.classificationURI	N/A-Γεωδαισία
heal.keywordURI	http://lod.nal.usda.gov/68448
heal.keywordURI	http://id.loc.gov/authorities/subjects/sh85101173
heal.keywordURI	http://skos.um.es/unescothes/C03347
heal.language	en
heal.access	free
heal.recordProvider	Τεχνολογικό Εκπαιδευτικό Ίδρυμα Αθήνας. Σχολή Τεχνολογικών Εφαρμογών.Τμήμα Τοπογραφίας	el
heal.publicationDate	2007-04
heal.bibliographicCitation	Karras, G., Grammatikopoulos, L., Kalisperakis, I. and Petsa, E. (2007). Generation of orthoimages and perspective views with automatic visibility checking and texture blending. Photogrammetric Engineering & Remote Sensing 73(4), April 2007, pp. 403-411.	en
heal.abstract	Conventional orthorectification software cannot handle surface occlusions and image visibility. The approach presented here synthesizes related work in photogrammetry and computer graphics/vision to automatically produce orthographic and perspective views based on fully 3D surface data (supplied by laser scanning). Surface occlusions in the direction of projection are detected to create the depth map of the new image. This information allows identifying, by visibility checking through back-projection of surface triangles, all source images which are entitled to contribute color to each pixel of the novel image. Weighted texture blending allows regulating the local radiometric contribution of each source image involved, while outlying color values are automatically discarded with a basic statistical test. Experimental results from a close-range project indicate that this fusion of laser scanning with multiview photogrammetry could indeed combine geometric accuracy with high visual quality and speed. A discussion of intended improvements of the algorithm is also included.	en
heal.journalName	Photogrammetric Engineering & Remote Sensing	en
heal.journalType	peer-reviewed
heal.fullTextAvailability	false