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Many well-known existing image matching methods are based on local texture analysis, and consequently have difficulty handling low-textured 3D objects, such as those man-made buildings and road networks in urban scenes. In this paper, we propose our urban images matching method utilizing multiple novel clues. Specifically, we explore robust image features generated by interest regions and edge groups...
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