Results 31 to 40 of about 264,137 (214)
Recoverable 3D Point Cloud Compression Algorithm Based on Vector Similarity
Jisuanji kexue yu tansuo, 2020 Data compression for 3D point cloud suffers from several problems, including difficult to preserve the feature details, over-compress, and difficult to restore a compressed model. To alleviate these problems, CVS (compression based on vector similarity),
ZHANG Xukang, NIU Baoning, ZHANG Jinwen
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Fronthaul data compression for Uplink CoMP in cloud radio access network (C-RAN) [PDF]
, 2016 The design of efficient wireless fronthaul connections for future heterogeneous networks incorporating emerging paradigms such as cloud radio access network has become a challenging task that requires the most effective utilisation of fronthaul network ...
Avestimehr +24 more
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Denoising and Inpainting for Point Clouds Compressed by V-PCC
IEEE Access, 2021 With the development of immersive video, the quality of compressed 3D content has become an important issue. Video-based Point Cloud Compression (V-PCC) is a popular compression method for point cloud sequences; it achieves the highest quality among MPEG
Keming Cao, Pamela Cosman
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Emerging MPEG Standards for Point Cloud Compression
IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 2019 Due to the increased popularity of augmented and virtual reality experiences, the interest in capturing the real world in multiple dimensions and in presenting it to users in an immersible fashion has never been higher.
S. Schwarz +17 more
semanticscholar +1 more source
Video-Based Compression for Plenoptic Point Clouds [PDF]
2020 Data Compression Conference (DCC), 2020 10 pages, 4 ...
Li, Li, Li, Zhu, Liu, Shan, Li, Houqiang
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3D Motion Estimation and Compensation Method for Video-Based Point Cloud Compression
IEEE Access, 2020 A point cloud visualizes information by placing a voxel with a color value and a position value in a three-dimensional space. Since a point cloud uses hundreds of thousands or millions of points to visualize information, a large number of bits is needed ...
Junsik Kim +3 more
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How to Solve the Fronthaul Traffic Congestion Problem in H-CRAN? [PDF]
, 2015 The design of efficient wireless fronthaul connections for future heterogeneous networks incorporating emerging paradigms such as heterogeneous cloud radio access network (H-CRAN) has become a challenging task that requires the most effective utilization
Imran, Muhammad A. +4 more
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Real-Time Streaming Point Cloud Compression for 3D LiDAR Sensor Using U-Net
IEEE Access, 2019 Point cloud data from LiDAR sensors is the currently the basis of most L4 autonomous driving systems. Sharing and storing point clouds will also be important for future applications, such as accident investigation or V2V/V2X networks.
Chenxi Tu +3 more
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Applied Sciences, 2018 In order to obtain a highly accurate profile of a measured three-dimensional (3D) free-form surface, a scanning measuring device has to produce extremely dense point cloud data with a great sampling rate.
Yan Li, Yuyong Ma, Ye Tao, Zhengmeng Hou
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Density-preserving Deep Point Cloud Compression [PDF]
Computer Vision and Pattern Recognition, 2022 Local density of point clouds is crucial for representing local details, but has been overlooked by existing point cloud compression methods. To address this, we propose a novel deep point cloud compression method that preserves local density information.
Yun He +5 more
semanticscholar +1 more source