摘要
Image matching is an important question in computer vision, however, due to the large viewpoint and similar regions, there exist false matches. A robust matching method-DelTri is proposed. Based on the initial matching of Scale Invariant Feature Transform, the matched keypoints are respectively triangulated to create the triangulation net, which can express the overlapped physical structure of the objects. The matched triangles can lead to the final matches. Compared with classical RANSAC, experiments show that DelTri can improve the match robustness, including matching accuracy and magnitude efficiency.
Image matching is an important question in computer vision, however, due to the large viewpoint and similar regions, there exist false matches. A robust matching method-DelTri is proposed. Based on the initial matching of Scale Invariant Feature Transform, the matched keypoints are respectively triangulated to create the triangulation net, which can express the overlapped physical structure of the objects. The matched triangles can lead to the final matches. Compared with classical RANSAC, experiments show that DelTri can improve the match robustness, including matching accuracy and magnitude efficiency.
