Automatic multi-view texture mapping of 3D surface projections

dc.contributor.author	Γραμματικόπουλος, Λάζαρος	el
dc.contributor.author	Καλησπεράκης, Ηλίας	el
dc.contributor.author	Καρράς, Γιώργος	el
dc.contributor.author	Πέτσα, Έλλη	el
dc.date.accessioned	2015-01-29T10:52:27Z
dc.date.available	2015-01-29T10:52:27Z
dc.date.issued	2015-01-29
dc.identifier.uri	http://hdl.handle.net/11400/5043
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	Automation
dc.subject	Heritage Conservation
dc.subject	Laser Scanning
dc.subject	Orthorectification
dc.subject	Texture
dc.subject	Ορθοαναγωγή
dc.subject	Αυτοματισμός
dc.subject	Διατήρησης της πολιτιστικής κληρονομιάς
dc.subject	Σάρωση λέιζερ
dc.subject	Υφή
dc.title	Automatic multi-view texture mapping of 3D surface projections	en
heal.type	conferenceItem
heal.classification	Technology
heal.classification	Photogrammetry
heal.classification	Φωτογραφία
heal.classification	Φωτογραμμετρία
heal.classificationURI	http://id.loc.gov/authorities/subjects/sh85133147
heal.classificationURI	http://skos.um.es/unescothes/C02980
heal.classificationURI	N/A-Φωτογραφία
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	2007-07-12
heal.bibliographicCitation	Grammatikopoulos, L., Kalisperakis, I., Karras, G. and Petsa, E. (2007). Automatic multi-view texture mapping of 3D surface projections. 3D Virtual Reconstruction and Visualization of Complex Architectures (3D Arch ’07), 12-13/07/2007, ETH Zürich, Switzerland. Available from: http://www.isprs.org/proceedings/XXXVI/5-W47/pdf/grammatikopoulos_etal.pdf	en
heal.abstract	Texture-mapping in close-range photogrammetry focuses mostly on the generation of large-scale projections of 3D surfaces, the most common instance being that of orthoimaging. Today, photogrammetry increasingly uses terrestrial laser scanning as basis for genera-tion of 3D models. For a full exploitation of fully 3D data, however, typical shortcomings of conventional orthorectification software (inability to handle both surface self-occlusions and image occlusions; single-image texturing) must be addressed. Here, the authors elaborate on their approach for the automated generation of orthoimages and perspective views, based on fully 3D models from laser scanning and multi-image texture interpolation. The problem of occlusion is solved by first identifying all surface points visible in the direction of projection; texture is then interpolated through blending using all images which actually view each particular surface point. Texture outliers from individual images are automatically filtered out with a statistical test. Yet, further means for excluding outlying colour values are needed. Rather than using the depth maps of source images to identify possible occlusion borders, these borders are automatically extracted directly on the orthoprojection of each image. Their back-projection on the corresponding image, suitably processed with a morphological operator (dilation), defines ‘risk buffers’ on each image and suppresses their participation in colour interpolation. Combined with a statistical test, this procedure has proved beneficial for the quality of the results. Practical tests based on image sets with considerable variations in image scale have indicated that such new features of the algorithm facilitate the cooperation of laser scanning with photogrammetry for the automatic multi-view synthesis of textured projections.	en
heal.fullTextAvailability	true
heal.conferenceName	3D Virtual Reconstruction and Visualization of Complex Architectures	en
heal.conferenceItemType	full paper