Results 21 to 30 of about 5,433,437 (239)
Point cloud data compression [PDF]
, 2023 The rapid growth in the popularity of Augmented Reality (AR), Virtual Reality (VR), and Mixed Reality (MR) experiences have resulted in an exponential surge of three-dimensional data.
Gururajan, Ashwin Kumar
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An Efficient LiDAR Point Cloud Map Coding Scheme Based on Segmentation and Frame-Inserting Network
Sensors, 2022 In this article, we present an efficient coding scheme for LiDAR point cloud maps. As a point cloud map consists of numerous single scans spliced together, by recording the time stamp and quaternion matrix of each scan during map building, we cast the ...
Qiang Wang +5 more
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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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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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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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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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Reconstruction of industrial piping installations from laser point clouds using profiling techniques [PDF]
, 2009 Includes abstract.Includes bibliographical references (leaves 143-152).As-built models of industrial piping installations are essential for planning applications in industry. Laser scanning has emerged as the preferred data acquisition method of as built
Mapurisa, Willard T
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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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