In recent years, the popularity of depth sensors and 3D scanners has led to a rapid
development of 3D point clouds. Semantic segmentation of point cloud, as a key step in …

A distance metric known as non‐Euclidean distance deviates from the laws of Euclidean
geometry, which is the geometry that governs most physical spaces. It is utilized when …

Coloured point cloud (CPC) is one of the important representations of three‐dimensional
objects, which has been used in many fields. CPC may encounter geometric and colour …

A point cloud visualizes information by placing a voxel with a color value and a position
value in a three-dimensional space. Since a point cloud uses hundreds of thousands or …

Semantic segmentation of large-scale indoor 3D point cloud scenes is crucial for scene
understanding but faces challenges in effectively modeling long-range dependencies and …

A point cloud acquired through a Light Detection And Ranging (LiDAR) sensor can be
illustrated as a continuous frame with a time axis. Since the frame-by-frame point cloud has …

Point cloud in its uncompressed format require very high data rate for storage and
transmission. The video based point cloud compression (V-PCC) technique projects a …

Immersive media representation format based on point clouds has underpinned significant
opportunities for extended reality applications. Point cloud in its uncompressed format …

Abstract Mixed Reality (MR) Head Mounted Displays (HMDs) offer a hitherto underutilized
set of advantages compared to conventional 3D scanners. These benefits, inherent to MR …

Three-Dimensional (3D) semantic segmentation is an essential building block for interactive
Augmented Reality (AR). However, existing Deep Neural Network (DNN) models for …