Masayuki Kanbara

Super-Resolved video mosaicing for documents based on extrinsic camera parameter estimation

This paper describes a novel video mosaicing method based on extrinsic camera parameter estimation. With our method, a mosaic image without perspective distortion can be generated, even if none of the input image plane is parallel to the target document. Thus, users no longer have to take special care in holding the camera so that the image plane in the reference frame is parallel to the target. First, extrinsic camera parameters are estimated by tracking image features. Next, by utilizing re-appearing features, estimated extrinsic camera parameters are globally optimized to minimize the estimation error in the whole input sequence. Finally, all the images are projected onto the mosaic image plane, and a super-resolved mosaic image is generated by applying an iterative back projection algorithm. Experiments have successfully demonstrated the feasibility of the proposed method.