Results 31 to 40 of about 11,088 (289)
Point cloud geometry compression using neural implicit representations [PDF]
, 2023 openIn recent years, the increasing prominence of 3D point clouds in various applications has led to an escalating need for efficient storage and transmission methods.
MOTAMENI, AMIRHOSSEIN
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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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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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Point cloud attribute compression with neural implicit representations [PDF]
, 2022 Point cloud attribute compression is a challenging task due to the irregularity of the point cloud domain. This makes it difficult to extend traditional compression principles like transform coding to such data type, often requiring complex and ...
Magli E. +3 more
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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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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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Point cloud compression based on hierarchical point clustering [PDF]
2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2013 In this work we propose an algorithm for compressing the geometry of a 3D point cloud (3D point-based model). The proposed algorithm is based on the hierarchical clustering of the points. Starting from the input model, it performs clustering to the points to generate a coarser approximation, or a coarser level of detail (LOD). Iterating this clustering
Yuxue Fan +2 more
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cXR+ Voxel-Based Semantic Compression for Networked Immersion
IEEE Access, 2023 Extended Reality (XR) applications, which may encompass Augmented Reality (AR) and Virtual Reality (VR), commonly involve immersive virtual environments that are based on real physical environments.
Sifat Rezwan +5 more
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Emerging MPEG Standards for Point Cloud Compression [PDF]
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. Distributing such representations enables users to freely navigate in multi-sensory 3D media experiences.
Sebastian Schwarz +17 more
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