Efficient dynamic point cloud coding using Slice-Wise Segmentation

TL;DR

This paper introduces a novel slice-wise segmentation method for dynamic point cloud coding that reduces data loss and bit requirements, improving rate-distortion performance over standard V-PCC.

Contribution

It proposes an overlapping slicing technique that minimizes data loss and bits in point cloud compression by adaptively segmenting point clouds based on self-occlusion.

Findings

Significantly reduces data loss compared to V-PCC.

Improves rate-distortion performance.

Reduces bits required for encoding geometric data.

Abstract

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.