Results 1 to 10 of about 7,647,640 (198)
Sensors, 2022 As a kind of information-intensive 3D representation, point cloud rapidly develops in immersive applications, which has also sparked new attention in point cloud compression. The most popular dynamic methods ignore the characteristics of point clouds and
Siyang Yu +4 more
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Patch Re-Segmentation and Packing for Dynamic Point Cloud Compression via Back-and-Forth Structure
IEEE Open Journal of Signal Processing, 2022 The dynamic point cloud is widely needed in 3D vision related applications such as virtual reality and telepresence. Due to the huge amount of data, a key technology before the effective application is the dynamic point cloud compression.
Haoyu Shi, Fan Li
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DNet: Dynamic Neighborhood Feature Learning in Point Cloud
Sensors, 2021 Neighborhood selection is very important for local region feature learning in point cloud learning networks. Different neighborhood selection schemes may lead to quite different results for point cloud processing tasks.
Fujing Tian, Zhidi Jiang, Gangyi Jiang
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A Novel Preprocessing Method for Dynamic Point-Cloud Compression
Applied Sciences, 2021 Computer-based data processing capabilities have evolved to handle a lot of information. As such, the complexity of three-dimensional (3D) models (e.g., animations or real-time voxels) containing large volumes of information has increased exponentially ...
Mun-yong Lee +4 more
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Research on a Point Cloud Registration Method Based on Dynamic Neighborhood Features
Applied SciencesThis paper introduces a method that can enhance the accuracy and efficiency of point cloud data registration. This method selects the centroid of the point cloud as the feature point and uses the projected distance of this feature point within the ...
Xinrui Liu, Rutao Wang, Zongsheng Wang
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Dynamic Downsampling Algorithm for 3D Point Cloud Map Based on Voxel Filtering
Applied SciencesIn response to the challenge of handling large-scale 3D point cloud data, downsampling is a common approach, yet it often leads to the problem of feature loss. We present a dynamic downsampling algorithm for 3D point cloud maps based on an improved voxel
Wenqi Lyu +4 more
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Systems Science & Control Engineering, 2022 Dynamic scene reconstruction in real environments is still an ongoing research challenge; moving objects affect the performance of static environment-based simultaneous localization and mapping and impede a correct scene reconstruction.
Brayan Andru Montenegro +2 more
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DF-Net: Dynamic and Folding Network for 3D Point Cloud Completion
IEEE Access, 2022 The development of 3D sensors encourages researchers to process point cloud data directly. Point cloud data requires less memory but conveys more detailed 3D shape information.
Yao Xiao +4 more
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Fast Grid-Based Refining Segmentation Method in Video-Based Point Cloud Compression
IEEE Access, 2021 The video-based point cloud compression (V-PCC, ISO/IEC 23090-5) is the state-of-the-art international standard for compressing dynamic point clouds developed by the moving picture experts group (MPEG).
Jieon Kim, Yong-Hwan Kim
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Sensors, 2023 This paper proposes an algorithm for transmitting and reconstructing the estimated point cloud by temporally estimating a dynamic point cloud sequence. When a non-rigid 3D point cloud sequence (PCS) is input, the sequence is divided into groups of point ...
Jin-Kyum Kim +4 more
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