Skip to main content
Article
Towards Automatic Photometric Correction of Casually Illuminated Documents
IEEE Conference on Computer Vision and Pattern Recognition
  • George V. Landon, Cedarville University
  • Yun Lin
  • W. Brent Seales
Document Type
Conference Proceeding
Publication Date
7-16-2007
DOI
10.1109/CVPR.2007.383254
Abstract

Creating uniform lighting for archival-quality document acquisition remains a non-trivial problem. We propose a novel method for automatic photometric correction of non-planar documents by estimating a single, point light-source using a simple light probe. By adding a simple piece of folded white paper with a known 3D surface to a scene, we are able to extract the 3D position of a light source, automatically perform white balance correction, and determine areas of poor illumination. Furthermore, this method is designed with the purpose of adding it to an already implemented document digitization pipeline. To justify our claims, we provide an accuracy analysis of our correction technique using simulated ground-truth data which allows individual sources of error to be determined and compared. These techniques are then applied on real documents that have been acquired using a 3D scanner.

Keywords
  • Photometry,
  • light sources,
  • shape,
  • probes,
  • cameras,
  • reflectivity,
  • lighting,
  • image restoration,
  • optical attenuators,
  • layout
Citation Information
George V. Landon, Yun Lin and W. Brent Seales. "Towards Automatic Photometric Correction of Casually Illuminated Documents" IEEE Conference on Computer Vision and Pattern Recognition (2007) ISSN: 1063-6919
Available at: http://works.bepress.com/george-landon/11/