Title :
Active Flattening of Curved Document Images via Two Structured Beams
Author :
Gaofeng Meng ; Ying Wang ; Shenquan Qu ; Shiming Xiang ; Chunhong Pan
Author_Institution :
Nat. Lab. of Pattern Recognition (NLPR), Inst. of Autom., Beijing, China
Abstract :
Document images captured by a digital camera often suffer from serious geometric distortions. In this paper, we propose an active method to correct geometric distortions in a camera-captured document image. Unlike many passive rectification methods that rely on text-lines or features extracted from images, our method uses two structured beams illuminating upon the document page to recover two spatial curves. A developable surface is then interpolated to the curves by finding the correspondence between them. The developable surface is finally flattened onto a plane by solving a system of ordinary differential equations. Our method is a content independent approach and can restore a corrected document image of high accuracy with undistorted contents. Experimental results on a variety of real-captured document images demonstrate the effectiveness and efficiency of the proposed method.
Keywords :
differential equations; document image processing; active flattening; camera-captured document image; content independent approach; curved document images; developable surface; document page; geometric distortions; ordinary differential equations; two structured beams; Digital cameras; Estimation; Laser beams; Shape; Surface treatment; Three-dimensional displays; Vectors; developable surface interpolation; document image processing; geometric rectification; structured beams;
Conference_Titel :
Computer Vision and Pattern Recognition (CVPR), 2014 IEEE Conference on
Conference_Location :
Columbus, OH
DOI :
10.1109/CVPR.2014.497