For user convenience, processing of document images captured by a digital camera has been attracted much attention.
However, most existing processing methods require an upright image such like captured by a scanner. Therefore, we have
to cancel perspective distortion of a camera-captured image before processing. Although there are rectification methods of
the distortion, most of them work under certain assumptions on the layout; the borders of a document are available, textlines
are in parallel, a stereo camera or a video image is required and so on. In this paper, we propose a layout-free rectification
method which requires none of the above assumptions. We confirm the effectiveness of the proposed method by experiments.
In this paper we propose a mosaicing method of camera-captured document images. Since document images
captured using digital cameras suffer from perspective distortion, their alignment is a diffcult task for previous
methods. In the proposed method, correspondences of feature points are calculated using an image retrieval
method LLAH. Document images are aligned using a perspective transformation parameter estimated from the
correspondences. Since LLAH is invariant to perspective distortion, feature points can be matched without
compensation of perspective distortion. Experimental results show that document images captured by a digital
camera can be stitched using the proposed method.
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