Artwork Identification for 360-Degree Panoramic Images Using Polyhedron-Based Rectilinear Projection and Keypoint Shapes

被引:5
|
作者
Jin, Xun [1 ]
Kim, Jongweon [2 ]
机构
[1] Sangmyung Univ, Dept Copyright Protect, Seoul 03016, South Korea
[2] Sangmyung Univ, Dept Elect Engn, Seoul 03016, South Korea
来源
APPLIED SCIENCES-BASEL | 2017年 / 7卷 / 05期
关键词
artwork identification; 360-degree panoramic image; rectilinear projection; feature matching; keypoint shapes; ORIENTED GRADIENTS; DESCRIPTORS; BRISK; HISTOGRAMS; FREAK; SIFT;
D O I
10.3390/app7050528
中图分类号
O6 [化学];
学科分类号
0703 ;
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.
引用
收藏
页数:25
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