LSGP: Line-SIFT Geometric Pattern for wide-baseline image matching

ISCAS(2013)

引用 4|浏览19
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摘要
In this paper, a novel descriptor - Line-SIFT Geometric Pattern (LSGP) is proposed for wide-baseline image matching. In this descriptor, the geometry relationship between a line segment and its neighboring SIFT features is used to describe the line segments. By measuring the similarities between line segments, we could find line correspondences between multiple images which embed more intuitive information for further application such as 3D reconstruction. The experiment results have proved that our LSGP descriptor has good performance under various conditions.
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关键词
line segment,line-sift geometric pattern,image matching,lsgp descriptor,image reconstruction,sift features,3d reconstruction,wide-baseline image matching,lsgp,geometry,robustness,feature extraction,lighting,computer vision,image segmentation
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