Title :
Camera-Based Document Image Mosaicing
Author :
Liang, Jian ; DeMenthon, Daniel ; Doermann, David
Author_Institution :
Inst. for Adv. Comput. Studies, Maryland Univ., College Park, MD
Abstract :
In this paper we present an image mosaicing method for camera-captured documents. Our method is unique in not restricting the camera position, thus allowing greater flexibility than scanner-based or fixed-camera-based approaches. To accommodate for the perspective distortions introduced by varying poses, we implement a two-step image registration process that relies on accurately computing the projectivity between any two document images with an overlapping area as small as 10%. In the overlapping area, we apply a sharpness based selection process to obtain seamless blending across the border and within. Experiments show that our approach can produce a very sharp, high resolution and accurate full page mosaic from small image patches of a document
Keywords :
document image processing; image registration; image segmentation; camera-based document image mosaicing; camera-captured document; image patches; image registration; Cameras; Digital images; Educational institutions; Hardware; Image registration; Image resolution; Laboratories; Mice; Robustness; Satellites;
Conference_Titel :
Pattern Recognition, 2006. ICPR 2006. 18th International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
0-7695-2521-0
DOI :
10.1109/ICPR.2006.352