Geometry reconstruction for spatial scalability in point cloud compression based on neighbour occupancies
Zhang Chen, Shuai Wan, Zhecheng Wang · International Workshop on Advanced Imaging Technology (IWAIT) 2022 · 2022
Spatial scalability is an important functionality for point cloud compression. The current design of geometry reconstruction for spatial scalability applies the points at the center of nodes, ignoring correlations among neighbour nodes. In this work, a geometry reconstruction method based on neighbour occupancies is proposed, where the distribution of real points in the current node is predicted using the information of neighbour occupancies. In comparison to the state-of-the-art geometry-based point cloud compression, i.e., G-PCC, performance improvement of 1.15dB in D1- PSNR and 3.80dB in D2-PSNR in average, can be observed using proposed method.