Line Segment Matching Based on Intersection-Enhanced Point Correspondences

Line segment matching between two images of the same scene is popularly performed with the assistant of feature point correspondences. However, each existing method only relies on one specific kind of feature points to establish the correspondences, and could yield inferior performance when insufficient high-quality point correspondences are supplied. To address this fundamental problem, a novel line segment matching method is proposed. In our method, ASIFT points are exploited to establish an initial set of correspondences. Then, line intersections are matched between the two input images to establish an additional set of correspondences, i.e., intersection correspondences. Finally, an enhanced set of point correspondences is generated via a union of the ASIFT and intersection correspondences. Based on the yielded intersection-enhanced point correspondences, it will be shown that the performance of line segment matching can be greatly improved.