Dual-Attention-Based Block Matching for Dynamic Point Cloud Compression
Journal of ImagingThe irregular and highly non-uniform spatial distribution inherent to dynamic three-dimensional (3D) point clouds (DPCs) severely hampers the extraction of reliable temporal context, rendering inter-frame compression a formidable challenge.
Longhua Sun, Yingrui Wang, Qing Zhu
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Research and developments of distributed video coding [PDF]
, 2009 This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.The recent developed Distributed Video Coding (DVC) is typically suitable for the applications such as wireless/wired video sensor network, mobile camera ...
Xue, Zhuo
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Video-based Point Cloud Compression Artifact Removal [PDF]
, 2021 Photo-realistic point cloud capture and transmission are the fundamental enablers for immersive visual communication. The coding process of dynamic point clouds, especially video-based point cloud compression (V-PCC) developed by the MPEG standardization
Gao, Wen +5 more
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Portable Perceptron Network-Based Fast Mode Decision for Video-Based Point Cloud Compression
CAAI Artificial Intelligence Research, 2023 In Video-based Point Cloud Compression (V-PCC), 2D videos to be encoded are generated by 3D point cloud projection, and compressed by High Efficiency Video Coding (HEVC).
Shicheng Que, Yue Li
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Lossless Compression of Neuromorphic Vision Sensor Data Based on Point Cloud Representation
IEEE Access, 2022 Visual information varying over time is typically captured by cameras that acquire data via images (frames) equally spaced in time. Using a different approach, Neuromorphic Vision Sensors (NVSs) are emerging visual capturing devices that only acquire ...
Maria Martini +2 more
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Contextual Homogeneity-Based Patch Decomposition Method for Higher Point Cloud Compression
IEEE Access, 2020 Point cloud content is widely used to store and represent 3D volumetric objects with a complex and detailed representation from any direction of view.
Sungryeul Rhyu +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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2.5D Multi-View Gait Recognition Based on Point Cloud Registration [PDF]
, 2014 This paper presents a method for modeling a 2.5-dimensional (2.5D) human body and extracting the gait features for identifying the human subject.
Tjahjadi, Tardi +7 more
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A Rate Control Algorithm for Video-based Point Cloud Compression
, 2022 Video-based point cloud compression (V-PCC) has been an emerging compression technology that projects the 3D point cloud into a 2D plane and uses high efficiency video coding (HEVC) to encode the projected 2D videos (geometry video and color video).
Gao, Wei, Shen, Fangyu
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Color Reduction in an Authenticate Live 3D Point Cloud Video Streaming System
Computers, 2016 In this paper, an authenticate live 3D point cloud video streaming system is presented, using a low cost 3D sensor camera, the Microsoft Kinect. The proposed system is implemented on a client-server network infrastructure.
Zainab Sultani +2 more
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