An Introduction to Point Cloud Compression Standards

IF 0.7 Q4 TELECOMMUNICATIONS
Anthony Chen, Shiwen Mao, Zhu Li, Minrui Xu, Hongliang Zhang, D. Niyato, Zhu Han
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引用次数: 1

Abstract

The prevalent point cloud compression (PCC) standards of today are utilized to encode various types of point cloud data, allowing for reasonable bandwidth and storage usage. With increasing demand for high-fidelity three-dimensional (3D) models for a large variety of applications, including immersive visual communication, Augmented reality (AR) and Virtual Reality (VR), navigation, autonomous driving, and smart city, point clouds are seeing increasing usage and development to meet the increasing demands. However, with the advancements in 3D modelling and sensing, the amount of data required to accurately depict such representations and models is likewise ballooning to increasingly large proportions, leading to the development and standardization of the point cloud compression standards. In this article, we provide an overview of some topical and popular MPEG point cloud compression (PCC) standards. We discuss the development and applications of the Geometry-based PCC (G-PCC) and Video-based PCC (V-PCC) standards as they escalate in importance in an era of virtual reality and machine learning. Finally, we conclude our article describing the future research directions and applications of the PCC standards of today.
点云压缩标准介绍
目前流行的点云压缩(PCC)标准被用于编码各种类型的点云数据,允许合理的带宽和存储使用。随着各种应用(包括沉浸式视觉通信、增强现实(AR)和虚拟现实(VR)、导航、自动驾驶和智慧城市)对高保真三维(3D)模型的需求不断增加,点云的使用和发展越来越多,以满足日益增长的需求。然而,随着3D建模和传感技术的进步,准确描述这种表示和模型所需的数据量也越来越大,导致了点云压缩标准的发展和标准化。在本文中,我们概述了一些热门的MPEG点云压缩(PCC)标准。最后,对当前PCC标准的研究方向和应用进行了展望。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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