Point clouds are becoming essential in key applications with advances in capture
technologies leading to large volumes of data. Compression is thus essential for storage …

The state-of-the-art 2D-based dynamic point cloud (DPC) compression algorithm is the
video-based point cloud compression (V-PCC) developed by the Moving Pictures Experts …

This paper proposes a lossless point cloud (PC) geometry compression method that uses
neural networks to estimate the probability distribution of voxel occupancy. First, to take into …

This letter presents a lossless intra coder of the geometry information of voxelized point
clouds. Instead of using the popular octree decomposition, the proposed method views the …

The increase in popularity of point-cloud-oriented applications has triggered the
development of specialized compression algorithms. In this paper, a novel algorithm is …

Point cloud geometry (PCG) is used to precisely represent arbitrary-shaped 3D objects and
scenes, is of great interest to vast applications which puts forward the pressing desire of high …

Recently we have proposed a coding algorithm of point cloud geometry based on a rather
different approach from the popular octree representation. In our algorithm, the point cloud is …

Humans mainly communicate among them and with the world around them using light and
vision, thus implying that visual representation technologies play a central role in human …

In this paper, we investigate two fundamental problems of inter-prediction for Light Detection
and Ranging (LiDAR) point cloud geometries: motion estimation (ME) and coding structure …

In recent years, 3D point clouds have gained popularity thanks to technological advances
such as the increased computational power and the availability of low-cost devices for …