Point cloud is a prevalent 3D data representation format with significant application values in immersive media, autonomous driving, digital heritage protection, etc. However, the large data size of point clouds poses challenges to transmission and storage, which influences the wide deployments. Therefore, point cloud compression plays a crucial role in practical applications for both human and machine perception optimization. To this end, the Moving Picture Experts Group (MPEG) has established two standards for point cloud compression, including Geometry-based Point Cloud Compression (G-PCC) and Video-based Point Cloud Compression (V-PCC). In the meantime, the Audio Video coding Standard (AVS) Workgroup of China also have launched and completed the development for its first generation point cloud compression standard, namely AVS PCC. This new standardization effort has adopted many new coding tools and techniques, which are different from the other counterpart standards. This paper reviews the AVS PCC standard from two perspectives, i.e., the related technologies and performance comparisons.

翻译：点云作为一种广泛使用的三维数据表示格式，在沉浸式媒体、自动驾驶、数字遗产保护等领域具有重要的应用价值。然而，点云数据量庞大，对传输与存储构成挑战，影响了其大规模部署。因此，点云压缩在面向人类感知与机器感知优化的实际应用中起着至关重要的作用。为此，运动图像专家组（MPEG）已制定了两项点云压缩标准，包括基于几何的点云压缩（G-PCC）与基于视频的点云压缩（V-PCC）。与此同时，中国音视频编码标准（AVS）工作组也启动并完成了其第一代点云压缩标准（即AVS PCC）的制定工作。该新标准化工作采用了多项不同于其他同类标准的编码工具与技术。本文从相关技术与性能比较两个角度对AVS PCC标准进行了综述。