On automatic orthoprojection and texture-mapping of 3D surface models

dc.contributor.author	Γραμματικόπουλος, Λάζαρος	el
dc.contributor.author	Καλησπεράκης, Ηλίας	el
dc.contributor.author	Καρράς, Γιώργος	el
dc.contributor.author	Κόκκινος, Τριαντάφυλλος-Φίλης	el
dc.contributor.author	Πέτσα, Έλλη	el
dc.date.accessioned	2015-01-29T11:44:46Z
dc.date.available	2015-01-29T11:44:46Z
dc.date.issued	2015-01-29
dc.identifier.uri	http://hdl.handle.net/11400/5054
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.subject	Orthorectification
dc.subject	DEM/DTM
dc.subject	Laser scanning
dc.subject	Texture
dc.subject	Visualization
dc.subject	Automation
dc.subject	Heritage Conservation
dc.subject	Αυτοματισμός
dc.subject	Διατήρηση πολιτιστικής κληρονομιάς
dc.subject	Υφή
dc.subject	Νοερά απεικόνηση
dc.subject	Ορθοαναγωγή
dc.title	On automatic orthoprojection and texture-mapping of 3D surface models	en
heal.type	conferenceItem
heal.classification	Technology
heal.classification	Photogrammetry
heal.classification	Τεχνολογία
heal.classification	Φωτογραμμετρία
heal.classificationURI	http://id.loc.gov/authorities/subjects/sh85133147
heal.classificationURI	http://skos.um.es/unescothes/C02980
heal.classificationURI	N/A-Τεχνολογία
heal.classificationURI	N/A-Φωτογραμμετρία
heal.keywordURI	http://id.loc.gov/authorities/subjects/sh2001008980
heal.language	en
heal.access	free
heal.recordProvider	Τ.Ε.Ι. Αθήνας, Σχολή Τεχνολογικών Εφαρμογών, Τμήμα Μηχανικών Πληροφορικής και Μηχανικών Τοπογραφίας & Γεωπληροφορικής	el
heal.publicationDate	2004
heal.bibliographicCitation	Grammatikopoulos, L., Kalisperakis, I., Karras, G., Kokkinos, T. and Petsa E. (2004). On automatic orthoprojection and texture-mapping of 3D surface models. International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences, 35(5), pp. 360-365. Available from: http://www.isprs.org/proceedings/XXXV/congress/comm5/papers/579.pdf.	en
heal.abstract	Photo-textured 3D surface models, and orthophotography in particular, are most important photogrammetric products, notably in he-ritage conservation. However, conventional software typically uses surface descriptions obtained via 2D triangulation; additionally, it cannot handle image visibility. Ignoring multiple elevations and image occlusions is clearly too restrictive for a complex surface shape. Geometric accuracy and visual quality are then possible only with tedious human interaction during surface modeling but also orthoprojection. Yet, laser scanning allows today fast collection of accurate, dense surface point clouds and creation of 3D meshes. Close-range photogrammetry is obviously expected to take full advantage of this. The authors present their approach for an automated production of orthoimages from fully 3D surface representations derived from laser scanning. In a first step, the algorithm detects surface occlusions for the novel view. While common photogrammetric software needs operator-defined patches on individual original images as the source for image content, here all available images are combined for ‘viewer-independent’ texturing of the new image. To this end, bundle adjustment data allow all surface triangles to be back-pro-jected onto all initial images to establish visibilities. Texture blending is performed with suitable weighting, which controls the local radiometric contribution of each original image involved. Given more than two values, a statistical test allows to automatically ex-clude outlying colour data. The implemented algorithm was tested at the example of a Byzantine church in Athens to indicate that this coupling of laser scanning with photogrammetry is capable to automatically create novel views from several images, while com-bining geometric accuracy and visual quality with speed. Finally, future tasks and further elaborations are outlined.	en
heal.fullTextAvailability	true
heal.conferenceName	International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences	en
heal.conferenceItemType	full paper