Results 171 to 180 of about 264,137 (214)

Occupancy-Assisted Attribute Artifact Reduction for Video-Based Point Cloud Compression

IEEE transactions on broadcasting
Video-based point cloud compression (V-PCC) has achieved remarkable compression efficiency, which converts point clouds into videos and leverages video codecs for coding. For lossy compression, the undesirable artifacts of attribute images always degrade
Linyao Gao, Zhu Li, Lizhi Hou, Yiling Xu, Jun Sun   +4 more
semanticscholar   +1 more source

Standardization Status of MPEG Geometry-Based Point Cloud Compression (G-PCC) Edition 2

Picture Coding Symposium
Point clouds, crucial for representing 3D objects and scenes, offer immersive and precise depictions of the real world. Despite their superiority, the substantial data volume challenges current multimedia ecosystems.
Wei Zhang, Fuzheng Yang, Yingzhan Xu, M. Preda   +3 more
semanticscholar   +1 more source

Content-Aware Rate Control for Geometry-Based Point Cloud Compression

IEEE transactions on circuits and systems for video technology (Print)
The Geometry-based Point Cloud Compression (G-PCC) standard enables point cloud delivery over the internet through efficient compression. Limited by the transmission bandwidth, rate control is demanded in G-PCC for high-quality point cloud video ...
Junteng Zhang, Junzhe Zhang, Wenxiao Ma, Dandan Ding, Zhan Ma   +4 more
semanticscholar   +1 more source

LearningPCC: A PyTorch Library for Learning-Based Point Cloud Compression

ACM Multimedia
Three-dimensional point cloud data is one of the most extensively used data representation today, favored in various fields for its realistic and lifelike visual effects.
Liang Xie, Wei Gao
semanticscholar   +1 more source

Fast Video-Based Point Cloud Compression Based on Early Termination and Transformer Model

IEEE Transactions on Emerging Topics in Computational Intelligence
Video-based Point Cloud Compression (V-PCC) was proposed by the Moving Picture Experts Group (MPEG) to standardize Point Cloud Compression (PCC). The main idea of V-PCC is to project the Dynamic Point Cloud (DPC) into auxiliary information, occupancy ...
Yihan Wang, Yongfang Wang, Tengyao Cui, Zhijun Fang   +3 more
semanticscholar   +1 more source

Surface-Constrained Progressive Feature Preserving Point Cloud Compression

IEEE International Conference on Acoustics, Speech, and Signal Processing
Current point cloud compression methods based on deep learning cannot guarantee that the reconstructed points are constrained to the surface, resulting in low reconstruction quality at low bitrates.
Baoye Zhang, Wenxiang Shen, Bin Tan, Die Hu, Jun Wu   +4 more
semanticscholar   +1 more source

Dynamic point cloud compression with spatio-temporal transformer-style modeling

Data Compression Conference
The essence of dynamic point cloud compression lies in the effective modeling of temporal context information, which poses significant challenges owing to the unstructured and sparse characteristics of point clouds.
Yichen Zhou, Xinfeng Zhang, Xiaoqi Ma, Yingzhan Xu, Kai Zhang, Li Zhang   +5 more
semanticscholar   +1 more source

Geometry compression of scanned point-clouds

2010 2nd International Conference on Software Technology and Engineering, 2010
Today, 3D scanners are capable of producing high resolution and accurate 3D computer models that are often used for entertainment, industrial, and scientific purposes. Because such models may contain a huge amount of points, their storage is expansive, their loading is slow, and their transmission over the internet is impossibly slow.
Domen Mongus, Denis Spelic, Borut Zalik, Bojan Rupnik   +3 more
openaire   +1 more source

Point Cloud Compression, Enhancement and Applications: From 3D Perception to Large Models

ACM Multimedia
Point clouds have the strong capability for modeling 3D objects and scenes, which can be widely used in diverse applications and thus generate the burdens of transmission and storage.
Wei Gao, Ge Li
semanticscholar   +1 more source

Occupancy Map Guided Attributes Artifacts Removal for Video-Based Point Cloud Compression

ACM Trans. Multim. Comput. Commun. Appl.
Point clouds offer realistic 3D representations of objects and scenes at the expense of large data volumes. To represent such data compactly in real-world applications, Video-Based Point Cloud Compression (V-PCC) converts their texture into 2D attributes
Peilin Chen, Shiqi Wang, Zhu Li
semanticscholar   +1 more source