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.
翻译:随着隐性视频序列的快速增长,实现无缝和高质量的压缩三维内容甚至更为关键。MPEG最近为动态点云编码制定了基于视频的点云压缩标准(V-PCC),然而,使用V-PCC重建的点云有不同的工艺品,包括在应用现有视频编码技术之前的预处理过程中丢失数据,例如高效率视频编码(HEVC),在3D到2D的预测中实现无缝和高质量压缩三维内容,这是使用V-PC丢失数据的主要原因。本文提出了一种新的方法,采用重叠的切片方法作为补丁生成的替代方法,以减少生成的补丁数量和数据损失的数量。在拟议方法中,整个点云云在应用现有视频编码技术之前的预处理过程中被截断成不同大小的切片,以便数据损失在补丁生成和预测过程中最小化。为此,考虑了一个可变的层数,部分重叠以保留自闭点。本文件提出了一种新的方法,以重叠方式取代补接合点,以此替代补制生成的剪接,以减少补数和数据损失数量。在提议的VC标准计算方法上,从而大大地展示了VC标准数据的计算结果,从而大大降低了了Vric的进度,从而降低了了VC标准计算方法,从而降低了了V级计算结果,从而降低了了VC的进度,从而降低了了VC的进度降低了了拟议基数。