Non-Uniform Voxelisation for Point Cloud Compression [PDF]
SensorsPoint cloud compression is essential for the efficient storage and transmission of 3D data in various applications, such as virtual reality, autonomous driving, and 3D modelling.
Bert Van hauwermeiren +2 more
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Improved Video-Based Point Cloud Compression via Segmentation [PDF]
SensorsA point cloud is a representation of objects or scenes utilising unordered points comprising 3D positions and attributes. The ability of point clouds to mimic natural forms has gained significant attention from diverse applied fields, such as virtual ...
Faranak Tohidi +3 more
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An Optimized Convolutional Neural Network for the 3D Point-Cloud Compression [PDF]
Sensors, 2023 Due to the tremendous volume taken by the 3D point-cloud models, knowing how to achieve the balance between a high compression ratio, a low distortion rate, and computing cost in point-cloud compression is a significant issue in the field of virtual ...
Guoliang Luo +6 more
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A Method Based on Curvature and Hierarchical Strategy for Dynamic Point Cloud Compression in Augmented and Virtual Reality System [PDF]
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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Point Cloud Compression: Impact on Object Detection in Outdoor Contexts [PDF]
Sensors, 2022 Increasing demand for more reliable and safe autonomous driving means that data involved in the various aspects of perception, such as object detection, will become more granular as the number and resolution of sensors progress.
Luís Garrote +3 more
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A novel fast pedestrian recognition algorithm based on point cloud compression and boundary extraction [PDF]
PeerJ Computer Science, 2023 Reason Pedestrian recognition has great practical value and is a vital step toward applying path planning and intelligent obstacle avoidance in autonomous driving.
Yanjun Zhang
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Geometric 3D point cloud compression [PDF]
Pattern Recognition Letters, 2014 This work has been supported by the Spanish Government DPI2013-40534-R grant.
Morell, Vicente +3 more
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Dynamic Point Cloud Compression Based on Projections, Surface Reconstruction and Video Compression [PDF]
Sensors, 2021 In this paper we will present a new dynamic point cloud compression based on different projection types and bit depth, combined with the surface reconstruction algorithm and video compression for obtained geometry and texture maps. Texture maps have been
Emil Dumic +2 more
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Variable Rate Point Cloud Geometry Compression Method
Sensors, 2023 With the development of 3D sensors technology, 3D point cloud is widely used in industrial scenes due to their high accuracy, which promotes the development of point cloud compression technology.
Lehui Zhuang +3 more
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Dual-Attention-Based Block Matching for Dynamic Point Cloud Compression [PDF]
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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