| Title |
Fast Image-matching Technique Robust to Rotation in Spherical Images |
| Authors |
Chan-Ho Moon;Seong-Won Lee |
| DOI |
https://doi.org/10.5573/IEIESPC.2020.9.2.104 |
| Keywords |
Spherical image; Icosphere; Hexagonal grid; Image matching; Fisheye-lens camera |
| Abstract |
There are many studies on 3D reconstruction using image-matching algorithms for 360- degree spherical images. However, it is difficult to apply conventional planar-based matching algorithms because a spherical image is represented in 3D space with a geodesic grid. In this study, a fast image-matching algorithm especially robust to rotation in spherical images is proposed. With interleaving and hashing techniques, memory waste is reduced and memory access efficiency is improved in mapping a 2D flatten icosahedron corresponding to a 3D icosphere. In addition, a modified Features from Accelerated Segment Test?based matching technique is proposed to improve robust matching performance. The proposed matching technique uses a descriptor with directional information order to endure rotation of images. |