Shape Reconstruction and Image Restoration for Non-Flat Surfaces of Documents with a Stereo Vision System

In this paper, we propose a shape reconstruction and image restoration method for paper documents with curved surfaces or fold lines by using a stereo vision system. Characters in images of thick book's pages acquired with an image scanner are difficult to recognize because they are deformed under the influence of curved surface. Therefore, 3-D shape reconstruction of the book's surface is executed from the result of the stereoscopic measurement by putting the book upward, and an image of a flat surface is recovered from the curved or folded surface. The validity of the proposed method is shown through experiments.

• Type: Conference
• Year: 2004
• Where: ICPR
• Authors: Atsushi Kawarago, Atsushi Yamashita, Kenjiro T. Miura, Toru Kaneko
• Keywords: 3-d Shape Reconstruction, Computer Vision, Curved Surface, ICPR 2004, Image Restoration Method