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.
Related multimedia productions
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'}, }
The publications listed here are included as a means to ensure timely
dissemination of scholarly and technical work on a non-commercial basis.
Copyright and all rights therein are maintained by the authors or by
other copyright holders, notwithstanding that they have offered their works
here electronically. It is understood that all persons copying this
information will adhere to the terms and constraints invoked by each
author's copyright. These works may not be reposted without the
explicit permission of the copyright holder.
Please contact the authors if you are willing to republish this work in
a book, journal, on the Web or elsewhere. Thank you in advance.
All references in the main publication page are linked to a descriptive page
providing relevant bibliographic data and, possibly, a link to
the related document. Please refer to our main
publication repository page for a
page with direct links to documents.
+39 070 9250 1
+39 070 9250 216
(Secretary) katia
crs4.it
www.crs4.it/vic/
