论文标题
有效的动态点云编码，使用切片细分
Efficient dynamic point cloud coding using Slice-Wise Segmentation
论文作者
论文摘要
随着沉浸式视频序列的快速增长，实现无缝和高质量的压缩3D内容更加至关重要。 MPEG最近开发了一种基于视频的点云压缩（V-PCC），用于动态点云编码。但是，使用V-PCC进行重建的点云会遭受不同的工件，包括在应用现有视频编码技术之前在预处理过程中丢失数据，例如高效效率视频编码（HEVC）。贴片世代和3D对2D投影的自我封闭点是使用V-PCC丢失数据的主要原因。本文提出了一种新方法，将重叠切片作为补丁生成的替代方法，以减少生成的贴片数量和丢失的数据量。在提出的方法中，整个点云已根据自锁定点的数量进行了横截面为可变大小的切片，以便可以在斑块生成过程和投影中最小化数据丢失。为此，考虑了可变数量的层，部分重叠以保留自闭合点。所提出的方法的额外优势是减少位置的需求并使用切片底座编码几何数据。实验结果表明，与标准的V-PCC方法相比，提出的方法比标准V-PCC方法更灵活，并且与标准V-PCC方法相比，数据丢失显着降低。
With the fast growth of immersive video sequences, achieving seamless and high-quality compressed 3D content is even more critical. MPEG recently developed a video-based point cloud compression (V-PCC) standard for dynamic point cloud coding. However, reconstructed point clouds using V-PCC suffer from different artifacts, including losing data during pre-processing before applying existing video coding techniques, e.g., High-Efficiency Video Coding (HEVC). Patch generations and self-occluded points in the 3D to the 2D projection are the main reasons for missing data using V-PCC. This paper proposes a new method that introduces overlapping slicing as an alternative to patch generation to decrease the number of patches generated and the amount of data lost. In the proposed method, the entire point cloud has been cross-sectioned into variable-sized slices based on the number of self-occluded points so that data loss can be minimized in the patch generation process and projection. For this, a variable number of layers are considered, partially overlapped to retain the self-occluded points. The proposed method's added advantage is to reduce the bits requirement and to encode geometric data using the slicing base position. The experimental results show that the proposed method is much more flexible than the standard V-PCC method, improves the rate-distortion performance, and decreases the data loss significantly compared to the standard V-PCC method.
