Enhanced reconstruction of three-dimensional shape and texture from integral photography images

dc.contributor.author	Πασσαλής, Γ.	el
dc.contributor.author	Σγουρός, Νικόλαος	el
dc.contributor.author	Αθηναίος, Σπύρος	el
dc.contributor.author	Θεοχάρης, Θεοχάρης	el
dc.date.accessioned	2015-05-11T14:40:16Z
dc.date.issued	2015-05-11
dc.identifier.uri	http://hdl.handle.net/11400/10136
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	https://www.osapublishing.org	en
dc.subject	Τρισδιάστατες εικόνες
dc.subject	Ανακατασκευή
dc.subject	3D images
dc.subject	Ψηφιακή τεχνολογία
dc.subject	Reconstruction
dc.subject	Digital technology
dc.title	Enhanced reconstruction of three-dimensional shape and texture from integral photography images	en
heal.type	journalArticle
heal.classification	Technology
heal.classification	Electronics
heal.classification	Τεχνολογία
heal.classification	Ηλεκτρονική
heal.classificationURI	http://id.loc.gov/authorities/subjects/sh85133147
heal.classificationURI	http://id.loc.gov/authorities/subjects/sh85042383
heal.classificationURI	N/A-Τεχνολογία
heal.classificationURI	N/A-Ηλεκτρονική
heal.identifier.secondary	DOI: 10.1364/AO.46.005311
heal.dateAvailable	10000-01-01
heal.language	en
heal.access	forever
heal.publicationDate	2007
heal.bibliographicCitation	Passalis, G., Sgouros, N., Athinaios, S. and Theoharis, T. (2007) Enhanced reconstruction of three-dimensional shape and texture from integral photography images. "Applied Optics", 46 (22), p.5311-5320	en
heal.abstract	A method for the reconstruction of 3D shape and texture from integral photography (IP) images is presented. Sharing the same principles with stereoscopic-based object reconstruction, it offers increased robustness to noise and occlusions due to the unique characteristics of IP images. A coarse-to-fine approach is used, employing what we believe to be a novel grid refinement step in order to increase the quality of the reconstructed objects. The proposed method's properties include configurable depth accuracy and direct and seamless triangulation. We evaluate our method using synthetic data from a computer-simulated IP setup as well as real data from a simple yet effective digital IP setup. Experiments show reconstructed objects of high-quality indicating that IP can be a competitive modality for 3D object reconstruction.	en
heal.publisher	Optical Society of America	en
heal.journalName	Applied Optics	en
heal.journalType	peer-reviewed
heal.fullTextAvailability	false