Results 181 to 190 of about 264,137 (214)
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arXiv.org
Point cloud compression has garnered significant interest in computer vision. However, existing algorithms primarily cater to human vision, while most point cloud data is utilized for machine vision tasks.
Lei Liu, Zhihao Hu, Zheng-wei Chen
semanticscholar +1 more source
Point cloud compression has garnered significant interest in computer vision. However, existing algorithms primarily cater to human vision, while most point cloud data is utilized for machine vision tasks.
Lei Liu, Zhihao Hu, Zheng-wei Chen
semanticscholar +1 more source
Data Compression Conference
For exploring the Rate-Distortion-Complexity (RDC) optimization in point cloud compression, we propose a point cloud compressor with dynamic channel. In the transform process of the proposed compressor ( Fig 1.a ), we devise a sparse convolution operator,
Zhuozhen Yu, Wei Gao
semanticscholar +1 more source
For exploring the Rate-Distortion-Complexity (RDC) optimization in point cloud compression, we propose a point cloud compressor with dynamic channel. In the transform process of the proposed compressor ( Fig 1.a ), we devise a sparse convolution operator,
Zhuozhen Yu, Wei Gao
semanticscholar +1 more source
Improved Trisoup Geometry Reconstruction in Geometry-Based Point Cloud Compression (G-PCC)
2024 International Conference on Ubiquitous Communication (Ucom)Point clouds serve as a widely employed format for representing 3D objects and scenes. In recent years, to facilitate the efficient transmission and storage of point cloud data, point cloud compression (PCC) has become a highly regarded research focus ...
Kai Yao, Yi Cao, Wei Zhang
semanticscholar +1 more source
Performance assessment of point cloud compression
2017 IEEE Visual Communications and Image Processing (VCIP), 2017Compression of dynamic point clouds for streaming and broadcast is a big challenge arising in mixed and virtual reality applications. To advance this area, common performance benchmarking and assessment is key as to compare different technologies consistently. This paper presents a methodology for performance assessment that was established in the MPEG
Mekuria, Rufael +2 more
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Adaptive LPU Decision for Dynamic Point Cloud Compression
IEEE Signal Processing LettersWith the rapid development of point cloud applications, dynamic point cloud compression has become a hot topic. A fast and accurate motion estimation scheme is the focus of dynamic point cloud compression, and the size of prediction units (PUs) affects ...
Xingming Mu +4 more
semanticscholar +1 more source
PCHMVision: An Open-Source Library of Point Cloud Compression for Human and Machine Vision
ACM MultimediaIn today's era, three-dimensional point cloud data is not only voluminous but also widely applicable. Therefore, data compression has become a crucial step prior to processing.
Liang Xie, Wei Gao
semanticscholar +1 more source
Scale-Adaptive Asymmetric Sparse Variational AutoEncoder for Point Cloud Compression
IEEE transactions on broadcastingLearning-based point cloud compression has achieved great success in Rate-Distortion (RD) efficiency. Existing methods usually utilize Variational AutoEncoder (VAE) network, which might lead to poor detail reconstruction and high computational complexity.
Jian Chen +4 more
semanticscholar +1 more source
Tensor-Train Point Cloud Compression and Efficient Approximate Nearest-Neighbor Search
arXiv.orgNearest-neighbor search in large vector databases is crucial for various machine learning applications. This paper introduces a novel method using tensor-train (TT) low-rank tensor decomposition to efficiently represent point clouds and enable fast ...
Georgii Sergeevich Novikov +3 more
semanticscholar +1 more source
Point-Voting based Point Cloud Geometry Compression
2021 IEEE 23rd International Workshop on Multimedia Signal Processing (MMSP), 2021Chaofei Wang +4 more
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