The compression, transmission and rendering of point clouds is essential for many use
cases, notably immersive experience settings in eXtended Reality, telepresence and real …

The recent rise in interest in point clouds as an imaging modality has motivated
standardization groups such as JPEG and MPEG to launch activities aiming at developing …

A study on the quality evaluation of point clouds in the presence of coding distortions is
presented. For that, four different point cloud coding solutions, notably the standardized …

In this paper, the quality evaluation of the responses to the Call for Proposals (CfP) of JPEG
Pleno Point Cloud Coding is presented. Three responses to the CfP were evaluated …

In this paper, a stability analysis of the JPEG Pleno Learning-based Point Cloud Coding
Verification Model (VmUC) is performed. The codec is a deep learning-based solution that is …

This paper reports on a subjective quality evaluation of static point clouds encoded with the
MPEG codecs V-PCC and G-PCC, the deep learning-based codec RS-DLPCC, and the …

The quality evaluation of three deep learning-based coding solutions for point cloud
geometry, notably ADLPCC, PCC GEO CNNv2, and PCGCv2, is presented. The MPEG G …

As applications using immersive media gain increasing attention from both academia and
industry, research in the field of point cloud compression has greatly intensified in recent …

Typically, point cloud encoders allocate a similar bitrate for geometry and attributes (usually
RGB color components) information coding. This paper reports a quality study considering …

The exploratory study, presented in this text, aims at mapping open access research on
learning evaluation, learning technologies, and learning organizations. Thus, the research …