The large data volume of point clouds poses severe challenges for efficient storage and transmission in recent years. In this paper, we propose the first--to our best knowledge--end …
This paper presents a novel end-to-end Learned Point Cloud Geometry Compression (aka, Learned-PCGC) framework, to efficiently compress the point cloud geometry (PCG) using …
As machine vision tasks rapidly evolve, a new concept of compression, namely video coding for machines (VCM), has emerged. However, current VCM methods are only suitable for 2D …
L Zhuang, J Tian, Y Zhang, Z Fang - Sensors, 2023 - mdpi.com
With the development of 3D sensors technology, 3D point cloud is widely used in industrial scenes due to their high accuracy, which promotes the development of point cloud …
In this paper, a quality evaluation of three point cloud coding solutions based on machine learning technology is presented, notably, ADLPCC, PCC_GEO_CNN, and PCGC, as well …
One of the most promising emerging 3D representation paradigms is the point cloud (PC) model, notably due to the new set of applications that it enables, from immersive …
This paper analyses the performance of two of the most well known deep learning-based point cloud coding solutions, considering the training conditions. Several works have …
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 …
MA Al Muzaddid, WJ Beksi - 2022 International Conference on …, 2022 - ieeexplore.ieee.org
In this paper, we propose a novel variable rate deep compression architecture that operates on raw 3D point cloud data. The majority of learning-based point cloud compression …