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We propose a camera-tracking method by on-line learning of keypoint arrangements in augmented reality applications. As target objects, we deal with intersection maps from GIS and text documents, which are not dealt with by the popular SIFT and SURF descriptors. For keypoint matching by keypoint arrangement, we use locally likely arrangement hashing (LLAH), in which the descriptors of the arrangement...
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