Results 1 to 10 of about 3,013 (111)

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   +2 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

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   +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

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

Contour-Based Chain-Code Serialization for Lossless Compression of Voxelized 3D Objects [PDF]

Entropy
Voxel representations provide a simple way to represent three-dimensional objects as binary occupancy signals, but dense voxel grids and direct sparse encodings remain costly at medium and high resolutions.
Esteban-Alejandro Durán-Yáñez, Mario-Alberto Rodríguez-Díaz, Ricardo Mendoza-González, Francisco-Javier Luna-Rosas, Julio-César Martínez-Romo   +4 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

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, Jiahao Pang, Dong Tian, Giuseppe Valenzise, Frederic Dufaux   +4 more
doaj   +1 more source

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   +1 more source

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, Anamaria Bjelopera, Andreas Nüchter   +2 more
doaj   +1 more source