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Performance assessment of point cloud compression
2017 IEEE Visual Communications and Image Processing (VCIP), 2017 Compression 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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MP3-based point cloud compression
2021 International Conference on Electronics, Information, and Communication (ICEIC), 2021Geometry-based Point Cloud Compression (G-PCC) and Video-based Point Cloud Compression (V-PCC), which are standards developed by MPEG, can be used in compressing the point cloud data. However, these standards do not yet support encoding and decoding in many devices.
Jaiyoung Oh, Euee S. Jang
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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.
Xihua Sheng, Dong Liu, Zhiwei Xiong
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An Introduction to Point Cloud Compression Standards
GetMobile: Mobile Computing and Communications, 2023The prevalent point cloud compression (PCC) standards of today are utilized to encode various types of point cloud data, allowing for reasonable bandwidth and storage usage. With increasing demand for high-fidelity three-dimensional (3D) models for a large variety of applications, including immersive visual communication, Augmented reality (AR) and ...
Anthony Chen +6 more
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Compression of Plenoptic Point Clouds
IEEE Transactions on Image Processing, 2019Point clouds have been recently used in applications involving real-time capture and rendering of 3D objects. In a point cloud, for practical reasons, each point or voxel is usually associated with one single color along with other attributes. The region-adaptive hierarchical transform (RAHT) coder has been proposed for single-color point clouds.
Gustavo L. Sandri +2 more
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Compression of Dense and Regular Point Clouds
Computer Graphics Forum, 2006Abstract We present a simple technique for single‐rate compression of point clouds sampled from a surface, based on a spanning tree of the points. Unlike previous methods, we predict future vertices using both a linear predictor, which uses the previous edge as a predictor for the current edge, and lateral predictors that rotate the previous edge 90 ...
Merry, Mr. Bruce +2 more
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Real-time point cloud compression
2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2015With today's advanced 3D scanner technology, huge amounts of point cloud data can be generated in short amounts of time. Data compression is thus necessary for storage and especially for transmission, e.g., via wireless networks. While previous approaches delivered good compression ratios and interesting theoretical insights, they are either ...
Tim Golla, Reinhard Klein
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Point cloud compression framework for the web
2016 International Conference on 3D Imaging (IC3D), 2016This work is dedicated to the compression of 3D point clouds in order to allow an efficient and quick transmission of point cloud datasets (PCD) for visualization over the internet. Standard methods include quantization of vectors or cloud simplification via octree structures.
Sylvain Renault +3 more
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Quantum Point Cloud and its Compression
International Journal of Theoretical Physics, 2017zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jiang, Nan +3 more
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Adaptive Geometry Partition for Point Cloud Compression
IEEE Transactions on Circuits and Systems for Video Technology, 2021Octree (OT) geometry partitioning has been acknowledged as an efficient representation in state-of-the-art point cloud compression (PCC) schemes. In this work, an adaptive geometry partition and coding scheme is proposed to improve the OT based coding framework.
Xiang Zhang, Wen Gao
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