Metaverse is a virtual world that maps and interacts with the real world. It is a digital living
space with a new social system created through Virtual Reality (VR), Augmented Reality …

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 …

This paper presents a novel end-to-end Learned Point Cloud Geometry Compression (aka,
Learned-PCGC) system, leveraging stacked Deep Neural Networks (DNN) based …

Point cloud registration is a key problem in the application of computer vision to robotics,
autopilot and other fields. However, because the object is partially covered up or the …

Recently, 3D point cloud is becoming popular due to its capability to represent the real world
for advanced content modality in modern communication systems. In view of its wide …

To improve the viewer's Quality of Experience (QoE) and optimize computer graphics
applications, 3D model quality assessment (3D-QA) has become an important task in the …

Objective quality estimation of media content plays a vital role in a wide range of
applications. Though numerous metrics exist for 2D images and videos, similar metrics are …

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 …

Limited by the network bandwidth, three-dimensional (3D) point cloud needs to be efficiently
compressed before transmission. As one of the three attribute coding methods adopted in …

The state-of-the-art geometry-based point cloud compression (G-PCC)(Octree) is the fine-
grained approach, which uses the octree to partition point clouds into voxels and predicts …