Image mosaicking for oversized documents with a multi-camera rig
Abstract: We provide a method to obtain high resolution images of oversized documents by mosaicking their images captured by a rig equipped with multiple consumer-level cameras. We only need to calibrate the system once, and then it gives accurate full-size document mosaicking results repeatedly and robustly afterwards. During calibration, we first determine global image registration information based on homography from camera calibration results; then we refine the alignment information locally with smoothed piecewise affine transformations based on feature matches. The resulting image transformation and warping information are stored for composition of new document images. We evaluate our method against the state-of-the-art image stitching algorithms and software to demonstrate its advantages on suppressing seams and artifacts.
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