3D meshes are commonly used to represent virtual surface and volumes. However, their raw
data representations take a large amount of space. Hence, 3D mesh compression has been …

Three-dimensional (3D) meshes have been widely used in graphic applications for the
representation of 3D objects. They often require a huge amount of data for storage and/or …

In recent years, 3D point clouds have enjoyed a great popularity for representing both static
and dynamic 3D objects. When compared to 3D meshes, they offer the advantage of …

In this paper we present a progressive compression method for point sampled models that is
specifically apt at dealing with densely sampled surface geometry. The compression is …

As technology advances, cities are getting smarter. Smart mobility is the key element in
smart cities and Autonomous Driving (AV) are an essential part of smart mobility. However …

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 …

A system comprises an encoder configured to compress attribute information for a point
cloud and/or a decoder configured to decompress compressed attribute information for the …

Airborne laser scanning technology (LiDAR) makes it easy to collect large amounts of point
data that sample the elevation of the terrain beneath. The LAS format has become the de …

3D meshes are widely used in graphic and simulation applications for approximating 3D
objects. When representing complex shapes in a raw data format, meshes consume a large …

In this paper, we propose a generic point cloud encoder that provides a unified framework
for compressing different attributes of point samples corresponding to 3D objects with an …