Technical Reports


Click here for full text: PDF

Photo Repair and 3D Structure from Flatbed Scanners

Pintus, Ruggero; Malzbender, Thomas; Wang, Oliver; Bergman, Ruth; Nachlieli, Hila; Ruckenstein, Gitit
HP Laboratories


Keyword(s): Scanners, 3D reconstruction, photo repair, photometric stereo

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.

11 Pages

Additional Publication Information: To be published and presented at VISAPP 2009 - International Conference on Computer Vision Theory and Applications, Lisbon, Portugal, Feb 5-9, 2009

External Posting Date: February 21, 2009 [Fulltext]. Approved for External Publication
Internal Posting Date: February 21, 2009 [Fulltext]

Back to Index