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A line-based matching method is proposed to overcome the low significant level of point feature and the shortage in the matching between weak texture images. Edges are extracted to generate line segments at first. Then, saliency-lines are detected and a control network is constructed in each image. Every remaining general-line is grouped into a saliency-line through a process of clustering. Finally, an iterative algorithm is applied to search for correspondences based on their position relative
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