Photo repair and 3d structure from flatbed scanners

dc.contributor.authorPintus, Ruggero
dc.contributor.authorMalzbender, Thomas
dc.contributor.authorWang, Oliver
dc.contributor.authorBergman, Ruth
dc.contributor.authorNachlieli, Hila
dc.contributor.authorRuckenstein, Gitit
dc.date.accessioned2014-04-29T09:19:00Z
dc.date.available2014-04-29T09:19:00Z
dc.date.issued2009-02
dc.description.abstractWe introduce a technique that allows 3D information to be captured from a conventional flatbed scanner. The technique requires no hardware modification and allows untrained users to easily capture 3D datasets. Once captured, these datasets can be used for interactive relighting and enhancement of surface detail on physical objects. We have also found that the method can be used to scan and repair damaged photographs. Since the only 3D structure on these photographs will typically be surface tears and creases, our method provides an accurate procedure for automatically detecting these flaws without any user intervention. Once detected, automatic techniques, such as infilling and texture synthesis, can be leveraged to seamlessly repair such damaged areas. We first present a method that is able to repair damaged photographs with minimal user interaction and then show how we can achieve similar results using a fully automatic process.IT
dc.identifier.urihttp://hdl.handle.net/11050/854
dc.language.isoenIT
dc.relation.ispartofVISAPP International Conference on Computer Vision Theory and ApplicationsIT
dc.subjectscannersIT
dc.subject3D reconstructionIT
dc.subjectphoto repairIT
dc.subjectphotometric stereoIT
dc.subject.een-cordisEEN CORDIS::ELETTRONICA, INFORMATICA E TELECOMUNICAZIONI::Multimedia::Visualizzazione, realtà virtualeIT
dc.subject.een-cordisEEN CORDIS::ELETTRONICA, INFORMATICA E TELECOMUNICAZIONI::Elettronica, microelettronica::Sistemi digitali, rappresentazione digitaleIT
dc.titlePhoto repair and 3d structure from flatbed scannersIT
dc.typeAtti di convegnoIT
File
Original bundle
Ora in mostra 1 - 1 di 1
Caricamento...
Immagine di anteprima
Nome:
visapp-2009-photo.pdf
Dimensione:
466.95 KB
Formato:
Adobe Portable Document Format
Descrizione:
License bundle
Ora in mostra 1 - 1 di 1
Caricamento...
Immagine di anteprima
Nome:
license.txt
Dimensione:
2.06 KB
Formato:
Item-specific license agreed upon to submission
Descrizione: