Artwork identification for 360-degree panoramic images using polyhedron-based rectilinear projection and keypoint shapes

7Citations
Citations of this article
6Readers
Mendeley users who have this article in their library.

Abstract

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.

Cite

CITATION STYLE

APA

Jin, X., & Kim, J. (2017). Artwork identification for 360-degree panoramic images using polyhedron-based rectilinear projection and keypoint shapes. Applied Sciences (Switzerland), 7(5). https://doi.org/10.3390/app7050528

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free