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http://dx.doi.org/10.5909/JBE.2021.26.6.680

Point Cloud Video Codec using 3D DCT based Motion Estimation and Motion Compensation  

Lee, Minseok (Department of Electronic Engineering, Kyung Hee University)
Kim, Boyeun (Department of Electronic Engineering, Kyung Hee University)
Yoon, Sangeun (Department of Electronic Engineering, Kyung Hee University)
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. 680-691 More about this Journal
Abstract
Due to the recent developments of attaining 3D contents by using devices such as 3D scanners, the diversity of the contents being used in AR(Augmented Reality)/VR(Virutal Reality) fields is significantly increasing. There are several ways to represent 3D data, and using point clouds is one of them. A point cloud is a cluster of points, having the advantage of being able to attain actual 3D data with high precision. However, in order to express 3D contents, much more data is required compared to that of 2D images. The size of data needed to represent dynamic 3D point cloud objects that consists of multiple frames is especially big, and that is why an efficient compression technology for this kind of data must be developed. In this paper, a motion estimation and compensation method for dynamic point cloud objects using 3D DCT is proposed. This will lead to switching the 3D video frames into I frames and P frames, which ensures higher compression ratio. Then, we confirm the compression efficiency of the proposed technology by comparing it with the anchor technology, an Intra-frame based compression method, and 2D-DCT based V-PCC.
Keywords
Point Cloud; 3D DCT; Motion Estimation; Motion Compensation;
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