18th International Conference on Pattern Recognition (ICPR'06) Volume 2
Camera-Based Document Image Mosaicing
Hong Kong
August 20-August 24
ISBN: 0-7695-2521-0
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.
Citation:
Jian Liang, Daniel DeMenthon, David Doermann, "Camera-Based Document Image Mosaicing," icpr, vol. 2, pp.476-479, 18th International Conference on Pattern Recognition (ICPR'06) Volume 2, 2006