Point-Voting based Point Cloud Geometry Compression

Abstract

The Geometry-based Point Cloud Compression (G-PCC) proposed by the Moving Picture Experts Group (MPEG) is the state-of-art point cloud compression algorithm. It provides an efficient lossy geometry compression technique called triangle soup (Trisoup) for static point clouds. Based on the pruned octree structure, Trisoup provides a local surface model consisting of multiple triangles and compresses vertices of the triangles instead of directly compressing the positions of the original points. Accordingly, we propose a point-voting based method to improve the triangle-construction within each leaf node. This new method leverages the node-based points distribution for more precise vertices determination, which better fits the local surface. Experimental results demonstrate the effectiveness of our point-voting based method for both objective and subjective quality evaluation.