Establishing visual correspondences is a fundamental step in many computer vision task such as Structure from Motion (SfM), image retrieval, and place recognition. Local feature (keypoint) matching is widely used because of its feasibility to practical scenes. However, it shows limited performance when the appearance of object among the image pair is extremely changed.
We study about feature matching algorithms robust to large appearance changing among the image pairs. We previously studied about two common situation shown bellow.