Paper Info
Title
Document capture using stereo vision
Abstract
Capturing images of documents using handheld digital cameras has a variety of applications in academia, research, knowledge management, retail, and office settings. The ultimate goal of such systems is to achieve image quality comparable to that currently achieved with flatbed scanners even for curved, warped, or curled pages. This can be achieved by high-accuracy 3D modeling of the page surface, followed by a "flattening" of the surface. A number of previous systems have either assumed only perspective distortions, or used techniques like structured lighting, shading, or side-imaging for obtaining 3D shape. This paper describes a system for handheld camera-based document capture using general purpose stereo vision methods followed by a new document dewarping technique. Examples of shape modeling and dewarping of book images is shown.
Year
DOI
Venue
2004
10.1145/1030397.1030434
ACM Symposium on Document Engineering
Keywords
Field
DocType
capturing image,handheld digital camera,book image,shape modeling,flatbed scanner,new document,image quality,handheld camera-based document,page surface,general purpose stereo vision,stereo vision
Computer vision,Stereo camera,Flattening,Computer graphics (images),General purpose,Computer science,Stereopsis,Image quality,Mobile device,Artificial intelligence,3D modeling,Document capture
Conference
ISBN
Citations 
PageRank 
1-58113-938-1
25
1.47
References 
Authors
4
3
Name
Order
Citations
PageRank
Adrian Ulges132826.61
Christoph H. Lampert22718125.52
Thomas M. Breuel32362219.10