Data-Adaptive Packing Method for Compression of Dynamic Point Cloud Sequences

This paper proposes a data-adaptive packing method for compression of dynamic point cloud sequences. Due to the increasing popularity in emerging immersive applications, the interest in representing the virtual world with dynamic point cloud sequences has never been higher. However, it remains a challenging work to compress these sequences with high efficiency. The proposed method divides the input sequences into some groups adaptively, in which patches in all frames are packed in a consistent way. Thus, the occupancy maps as well as the corresponding depth and texture images, are highly consistent both in temporal and spatial, which benefits the subsequent 2D video encoding greatly. Experimental results show that the proposed method achieves significant improvement in coding efficiency over the reference method of MPEG Point Cloud Compression (PCC).