Results 91 to 100 of about 264,137 (214)
Texture-Guided Graph Transform Optimization for Point Cloud Attribute Compression
Applied SciencesThere is a pressing need across various applications for efficiently compressing point clouds. While the Moving Picture Experts Group introduced the geometry-based point cloud compression (G-PCC) standard, its attribute compression scheme falls short of ...
Yiting Shao +4 more
doaj +1 more source
Electronics LettersThis letter fully studies the coloured point cloud quality assessment in augmented reality (AR) environment through subjective test. Firstly, a point cloud dataset, named point cloud quality dataset‐AR, including ten reference point clouds and their 90 ...
Chunling Fan +3 more
doaj +1 more source
Point Cloud-Assisted Neural Image Compression
2025 Data Compression Conference (DCC)High-efficient image compression is a critical requirement. In several scenarios where multiple modalities of data are captured by different sensors, the auxiliary information from other modalities are not fully leveraged by existing image-only codecs, leading to suboptimal compression efficiency.
Li, Ziqun +5 more
openaire +2 more sources
Optimized quantization parameter selection for video-based point cloud compression
Frontiers in Signal ProcessingPoint clouds are sets of points used to visualize three-dimensional (3D) objects. Point clouds can be static or dynamic. Each point is characterized by its 3D geometry coordinates and attributes such as color.
Hui Yuan +6 more
doaj +1 more source
Efficient Dynamic Point Cloud Compression Through Adaptive Hierarchical Partitioning
IEEE AccessVideo-based Point Cloud Compression (V-PCC) is a dynamic point cloud coding standard that compresses 3D point clouds by projecting them into 2D frames, involving computationally intensive steps that can hinder real-time applications in augmented and ...
Faranak Tohidi +2 more
doaj +1 more source
Advanced Patch-Based Affine Motion Estimation for Dynamic Point Cloud Geometry Compression
SensorsThe 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 +1 more source
Low-complexity patch projection method for efficient and lightweight point-cloud compression
ETRI JournalThe point cloud provides viewers with intuitive geometric understanding but requires a huge amount of data. Moving Picture Experts Group (MPEG) has developed video-based point-cloud compression in the range of 300-700.
Sungryeul Rhyu +3 more
doaj +1 more source
Implicit Neural Compression of Point Clouds
Point clouds have gained prominence across numerous applications due to their ability to accurately represent 3D objects and scenes. However, efficiently compressing unstructured, high-precision point cloud data remains a significant challenge. In this paper, we propose NeRC$^3$, a novel point cloud compression framework that leverages implicit neural ...
Ruan, Hongning +5 more
openaire +2 more sources
Compressed point cloud classification with point-based edge sampling
EURASIP Journal on Image and Video Processing3D point cloud data, as an immersive detailed data source, has been increasingly used in numerous applications. To deal with the computational and storage challenges of this data, it needs to be compressed before transmission, storage, and processing ...
Zhe Luo, Wenjing Jia, Stuart Perry
doaj +1 more source
Static Point Clouds Compression efficiency of MPEG point clouds coding standards
, 2020 Recent advances in the consumption of 3D content creates the necessity of efficient ways to visualize and transmit 3D content. As a result, methods to obtain that same content have been evolving, leading to the development of new methods of representations, namely point clouds and light fields.
openaire +1 more source