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Photo Repair and 3D Structure from Flatbed Scanners

Ruggero Pintus, Thomas Malzbender, Oliver Wang, Ruth Bergman, Hila Nachlieli, and Gitit Ruckenstein

February 2009

Abstract

We 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.

Reference and download information

Ruggero Pintus, Thomas Malzbender, Oliver Wang, Ruth Bergman, Hila Nachlieli, and Gitit Ruckenstein. Photo Repair and 3D Structure from Flatbed Scanners. In VISAPP International Conference on Computer Vision Theory and Applications. Pages 40-50, February 2009.

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Bibtex citation record

@InProceedings{Pintus:2009:PRS,
    author = {Ruggero Pintus and Thomas Malzbender and Oliver Wang and Ruth Bergman and Hila Nachlieli and Gitit Ruckenstein},
    title = {Photo Repair and 3D Structure from Flatbed Scanners},
    booktitle = {VISAPP International Conference on Computer Vision Theory and Applications},
    pages = {40--50},
    month = {February},
    year = {2009},
    abstract = { We 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. },
    url = {http://vic.crs4.it/vic/cgi-bin/bib-page.cgi?id='Pintus:2009:PRS'},
}