In point cloud compression, sufficient contexts are significant for modeling the point cloud
distribution. However, the contexts gathered by the previous voxel-based methods decrease …

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 …

3D point cloud presentation has been widely used in computer vision, automatic driving,
augmented reality, smart cities and virtual reality. 3D point cloud compression method with …

Point cloud based 3D visual representation is becoming popular due to its ability to exhibit
the real world in a more comprehensive and immersive way. However, under a limited …

The emergence of 3D point clouds (3DPCs) is promoting the rapid development of
immersive communication, autonomous driving, and so on. Due to the huge data volume …

In this article, a survey of the point cloud compression (PCC) methods by organizing them
with respect to the data structure, coding representation space, and prediction strategies is …

Graph Fourier Transform (GFT) has demonstrated significant effectiveness in point cloud
attribute compression task. However, existing graph modeling methods are based on the …

3D point clouds associated with attributes are considered as a promising paradigm for
immersive communication. However, the corresponding compression schemes for this …

ABSTRACT Three-dimensional (3D) point clouds (PCs) and meshes have increasingly
become available and indispensable for diversified applications in work and life. In addition …

We study the problem of attribute compression for large-scale unstructured 3D point clouds.
Through an in-depth exploration of the relationships between different encoding steps and …