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Camera-Based Document Image Mosaicing
Hong Kong August 20-August 24
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICPR.2006.35218th International Conference on Patt ...
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Jian Liang, University of Maryland, College Park
Daniel DeMenthon, University of Maryland, College Park
David Doermann, University of Maryland, College Park
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
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