Wide-baseline image matching based on coplanar line intersections

This paper presents a novel method of wide-baseline image matching based on the intersection context of coplanar line pairs especially designed for dealing with poorly textured and/or non-planar structured scenes. The line matching in widely separated views is challenging because of large perspective distortion and the violation of the planarity assumption in local regions. To overcome the large perspective distortion, the local regions are normalized into the canonical frames by rectifying coplanar line pairs to be orthogonal. Also, the 3D interpretation of the intersection context of the coplanar line pairs helps to match the non-planar local regions by adjusting the region of interest of the canonical frame according to the different types of 3D non-planar structures. Compared to previous approaches, the proposed method offers efficient yet robust wide-baseline line matching performance under unreliable detection of end-points of line segments and poor line topologies or junction structures. Comparison studies and experimental results demonstrate the accuracy of the proposed method for various real world scenes.