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http://dx.doi.org/10.5909/JBE.2021.26.6.692

2D Interpolation of 3D Points using Video-based Point Cloud Compression  

Hwang, Yonghae (Department of Electronic Engineering, Kyung Hee University)
Kim, Junsik (Department of Electronic Engineering, Kyung Hee University)
Kim, Kyuheon (Department of Electronic Engineering, Kyung Hee University)
Publication Information
Journal of Broadcast Engineering / v.26, no.6, 2021 , pp. 692-703 More about this Journal
Abstract
Recently, with the development of computer graphics technology, research on technology for expressing real objects as more realistic virtual graphics is being actively conducted. Point cloud is a technology that uses numerous points, including 2D spatial coordinates and color information, to represent 3D objects, and they require huge data storage and high-performance computing devices to provide various services. Video-based Point Cloud Compression (V-PCC) technology is currently being studied by the international standard organization MPEG, which is a projection based method that projects point cloud into 2D plane, and then compresses them using 2D video codecs. V-PCC technology compresses point cloud objects using 2D images such as Occupancy map, Geometry image, Attribute image, and other auxiliary information that includes the relationship between 2D plane and 3D space. When increasing the density of point cloud or expanding an object, 3D calculation is generally used, but there are limitations in that the calculation method is complicated, requires a lot of time, and it is difficult to determine the correct location of a new point. This paper proposes a method to generate additional points at more accurate locations with less computation by applying 2D interpolation to the image on which the point cloud is projected, in the V-PCC technology.
Keywords
Point Cloud; V-PCC; Interpolation; AR; VR;
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