| Applied Sciences | |
| Artwork Identification for 360-Degree Panoramic Images Using Polyhedron-Based Rectilinear Projection and Keypoint Shapes | |
| Xun Jin1  Jongweon Kim2  | |
| [1] Department of Copyright Protection, Sangmyung University, Seoul 03016, Korea;Department of Electronics Engineering, Sangmyung University, Seoul 03016, Korea; | |
| 关键词: artwork identification; 360-degree panoramic image; rectilinear projection; feature matching; keypoint shapes; | |
| DOI : 10.3390/app7050528 | |
| 来源: DOAJ | |
【 摘 要 】
With the increased development of 360-degree production technologies, artwork has recently been photographed without authorization. To prevent this infringement, we propose an artwork identification methodology for 360-degree images. We transform the 360-degree image into a three-dimensional sphere and wrap it with a polyhedron. On the sphere, several points are located on the polyhedron to determine the width, height, and direction of the rectilinear projection. The 360-degree image is divided and transformed into several rectilinear projected images to reduce the adverse effects from the distorted panoramic image. We also propose a method for improving the identification precision of artwork located at a highly distorted position using the difference of keypoint shapes. After applying the proposed methods, identification precision is increased by 45% for artwork that is displayed on a 79-inch monitor in a seriously distorted position with features that were generated by scale-invariant feature transformations.
【 授权许可】
Unknown