Results 11 to 20 of about 44,716 (282)
Survey on Deep Learning-Based Point Cloud Compression
Frontiers in Signal Processing, 2022 Point clouds are becoming essential in key applications with advances in capture technologies leading to large volumes of data. Compression is thus essential for storage and transmission.
Maurice Quach +4 more
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Fast Run-Length Compression of Point Cloud Geometry
IEEE Transactions on Image Processing, 2022 The increase in popularity of point-cloud-oriented applications has triggered the development of specialized compression algorithms. In this paper, a novel algorithm is developed for the lossless geometry compression of voxelized point clouds following an intra-frame design.
Dion E. O. Tzamarias +3 more
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Attribute Artifacts Removal for Geometry-Based Point Cloud Compression
IEEE Transactions on Image Processing, 2022 Geometry-based point cloud compression (G-PCC) can achieve remarkable compression efficiency for point clouds. However, it still leads to serious attribute compression artifacts, especially under low bitrate scenarios. In this paper, we propose a Multi-Scale Graph Attention Network (MS-GAT) to remove the artifacts of point cloud attributes compressed ...
Xihua Sheng +3 more
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Dynamic Point Cloud Compression Based on Projections, Surface Reconstruction and Video Compression
Sensors, 2021 In this paper we will present a new dynamic point cloud compression based on different projection types and bit depth, combined with the surface reconstruction algorithm and video compression for obtained geometry and texture maps. Texture maps have been
Emil Dumic +2 more
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LiDAR Point Cloud Compression by Vertically Placed Objects Based on Global Motion Prediction
IEEE Access, 2022 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 a high correlation between frames, a higher compression efficiency can be ...
Junsik Kim +3 more
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DeepCompress: Efficient Point Cloud Geometry Compression
, 2021 13 pages, 8 ...
Killea, Ryan +3 more
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Sparse Tensor-Based Multiscale Representation for Point Cloud Geometry Compression
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 This study develops a unified Point Cloud Geometry (PCG) compression method through the processing of multiscale sparse tensor-based voxelized PCG. We call this compression method SparsePCGC. The proposed SparsePCGC is a low complexity solution because it only performs the convolutions on sparsely-distributed Most-Probable Positively-Occupied Voxels ...
Jianqiang Wang +5 more
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Magnetohydrodynamics of Cloud Collisions in a Multi-phase Interstellar Medium [PDF]
, 1998 We extend previous studies of the physics of interstellar cloud collisions by beginning investigation of the role of magnetic fields through 2D magnetohydrodynamic (MHD) numerical simulations.
Andrea Ferrara +15 more
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Prioritized Transmission Control of Point Cloud Data Obtained by LIDAR Devices
IEEE Access, 2020 Smart monitoring, particularly at intersections, is a promising service that is being considered for the concept of smart cities. A network of light detection and ranging (LIDAR) sensors, which generates point cloud data in real time, can be used to ...
Keiichiro Sato +6 more
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Subjective Quality Assessment of V-PCC-Compressed Dynamic Point Clouds Degraded by Packet Losses
Sensors, 2023 This article describes an empirical exploration on the effect of information loss affecting compressed representations of dynamic point clouds on the subjective quality of the reconstructed point clouds.
Emil Dumic, Luis A. da Silva Cruz
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