Authors:
Ruggero Pintus
1
;
Thomas Malzbender
2
;
Oliver Wang
3
;
Ruth Bergman
2
;
Hila Nachlieli
2
and
Gitit Ruckenstein
2
Affiliations:
1
CRS4 (Center for Advanced Studies, Research and Development in Sardinia), Parco Scientifico e Tecnologico, POLARIS, Italy
;
2
Hewlett-Packard Laboratories, United States
;
3
University of California, Santa Cruz, United States
Keyword(s):
Scanners, 3D reconstruction, Photo repair, Photometric stereo.
Related
Ontology
Subjects/Areas/Topics:
Computer Vision, Visualization and Computer Graphics
;
Enhancement and Restoration
;
Feature Extraction
;
Features Extraction
;
Image and Video Analysis
;
Image Formation and Preprocessing
;
Informatics in Control, Automation and Robotics
;
Signal Processing, Sensors, Systems Modeling and Control
;
Surface Geometry and Shape
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.