Towards Automatic Photometric Correction of Casually Illuminated Documents

Creating uniform lighting for archival-quality document acquisition remains a non-trivial problem. We propose a novel method for automatic photometric correction of nonplanar 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.

• Type: Conference
• Year: 2007
• Where: CVPR
• Authors: George V. Landon, Yun Lin, W. Brent Seales
• Keywords: Automatic Photometric Correction, Computer Vision, Correction Technique, CVPR 2007, Document Digitization Pipeline, Simple Light Probe, White Balance Correction