With the increasing communication and storage of point cloud data, there is an urgent need
for an effective objective method to measure the quality before and after processing. To …

Video-based point cloud compression (V-PCC) utilizes high efficiency video coding (HEVC)
to compress geometry and attribute videos generated from dynamic point cloud projection …

To ensure the fidelity of virtual views, rate-distortion optimization (RDO) criterion for the 3D
extension of the High Efficiency Video Coding (3D-HEVC) is well designed, in which the …

As a popular optimization, particle swarm optimization has attracted many researcher's
attention and also been successfully applied to solve many real world problems. As …

Teachers serve as transmitters of cultural knowledge and play a crucial role in ongoing
development and continuity of human society. Analyzing their behavior can assist educators …

The emergence of digital avatars has prompted an exponential increase in the demand for
human point clouds with realistic and intricate details. The compression of such data …

This paper explores the problem of effectively compressing 3D geometry sets containing
diverse categories. We make\textit {the first} attempt to tackle this fundamental and …

Video-based point cloud compression (V-PCC) is a promising technique for compressing 3D
point clouds. V-PCC projects the 3D point cloud into patches and encodes the generated 2D …

With the rapid advancement of autonomous driving and network technologies, future
vehicles will function as network nodes, facilitating information transmission. Concurrently, in …

The state-of-the-art video-based point cloud compression (V-PCC) has a high efficiency of
compressing 3D point cloud by projecting points onto 2D images. These images are then …