Results 1 to 10 of about 2,729 (149)

Variable Rate Point Cloud Geometry Compression Method [PDF]

Sensors, 2023
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 compression technology.
Lehui Zhuang, Jin Tian, Yujin Zhang, Zhijun Fang   +3 more
doaj   +4 more sources

Efficient Large-Scale Point Cloud Geometry Compression [PDF]

Sensors
Due to the significant bandwidth and memory requirements for transmitting and storing large-scale point clouds, considerable progress has been made in recent years in the field of large-scale point cloud geometry compression.
Shiyu Lu, Cheng Han, Huamin Yang
doaj   +4 more sources

Point Cloud Geometry Compression Based on Multi-Layer Residual Structure [PDF]

Entropy, 2022
Point cloud data are extensively used in various applications, such as autonomous driving and augmented reality since it can provide both detailed and realistic depictions of 3D scenes or objects.
Jiawen Yu, Jin Wang, Longhua Sun, Mu-En Wu, Qing Zhu   +4 more
doaj   +2 more sources

TransPCGC: Point Cloud Geometry Compression Based on Transformers

Algorithms, 2023
Due to the often substantial size of the real-world point cloud data, efficient transmission and storage have become critical concerns. Point cloud compression plays a decisive role in addressing these challenges.
Shiyu Lu, Huamin Yang, Cheng Han
doaj   +2 more sources

Advanced Patch-Based Affine Motion Estimation for Dynamic Point Cloud Geometry Compression [PDF]

Sensors
The substantial data volume within dynamic point clouds representing three-dimensional moving entities necessitates advancements in compression techniques. Motion estimation (ME) is crucial for reducing point cloud temporal redundancy.
Yiting Shao, Wei Gao, Shan Liu, Ge Li
doaj   +2 more sources

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, Dong Liu, Zhiwei Xiong
exaly   +4 more sources

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, Kevin Chow, Ian Blanes   +2 more
exaly   +4 more sources

Autoregressive and Residual Index Convolution Model for Point Cloud Geometry Compression [PDF]

Sensors
This study introduces a hybrid point cloud compression method that transfers from octree-nodes to voxel occupancy estimation to find its lower-bound bitrate by using a Binary Arithmetic Range Coder.
Gerald Baulig, Jiun-In Guo
doaj   +2 more sources

Non-Uniform Voxelisation for Point Cloud Compression [PDF]

Sensors
Point cloud compression is essential for the efficient storage and transmission of 3D data in various applications, such as virtual reality, autonomous driving, and 3D modelling.
Bert Van hauwermeiren, Leon Denis, Adrian Munteanu   +2 more
doaj   +2 more sources

A Density-Aware Point Cloud Geometry Compression Leveraging Cluster- Centric Processing

IEEE Access
Recent years have encountered a noticeable expansion of point cloud-based 3D applications that compels the necessity of high-efficiency point cloud compression.
Fariha Afsana, Manoranjan Paul, Faranak Tohidi, Pan Gao   +3 more
doaj   +3 more sources