Results 41 to 50 of about 11,088 (289)
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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Point Cloud Geometry Compression Based on Multi-Layer Residual Structure
Entropy, 2022 Point cloud data are extensively used in various applications, such as autonomous driving and augmented reality since it can provide both detailed and realistic depictions of 3D scenes or objects.
Jiawen Yu +4 more
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Subjective Quality Assessment of V-PCC-Compressed Dynamic Point Clouds Degraded by Packet Losses
Sensors, 2023 This article describes an empirical exploration on the effect of information loss affecting compressed representations of dynamic point clouds on the subjective quality of the reconstructed point clouds.
Emil Dumic, Luis A. da Silva Cruz
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Deep Learning-based Point Cloud Geometry Coding with Resolution Scalability
, 2020 EISBN - 978-1-7281-9320-5Article number - 9287060; Conference date - 21 September 2020 - 24 September 2020; Conference code - 165866Point clouds are a 3D visual representation format that has recently become fundamentally important for immersive and ...
Guarda, André F. R. +2 more
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3DAC: Learning Attribute Compression for Point Clouds
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022 We study the problem of attribute compression for large-scale unstructured 3D point clouds. Through an in-depth exploration of the relationships between different encoding steps and different attribute channels, we introduce a deep compression network, termed 3DAC, to explicitly compress the attributes of 3D point clouds and reduce storage usage in ...
Guangchi Fang +4 more
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Improved Deep Point Cloud Geometry Compression [PDF]
2020 IEEE 22nd International Workshop on Multimedia Signal Processing (MMSP), 2020 Code is available at https://github.com/mauriceqch ...
Quach, Maurice +2 more
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What’s new in point cloud compression?
, 2020 International audience3D point cloud is a simple data structure representing both static and dynamic 3D objects. Though providing close-to-reality visualization, point clouds with high density raise massive demand for storage while sparse point clouds ...
Zaharia, Titus, Cao, Chao, Preda, Marius
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Visual Quality of Compressed Mesh and Point Cloud Sequences
IEEE Access, 2020 With the development of immersive video, the delivery and storage of 3D content have become important research areas. While compression methods for meshes and point clouds, the two main representations for 3D content, are actively studied, there are few ...
Keming Cao, Yi Xu, Pamela Cosman
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DeepCompress: Efficient Point Cloud Geometry Compression
CoRR, 2021 13 pages, 8 ...
Ryan Killea +3 more
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Advanced Engineering Materials, Volume 27, Issue 6, March 2025.The stability criteria affecting the formation of high‐entropy alloys, particularly focusing in supersaturated solid solutions produced by mechanical alloying, are analyzed. Criteria based on Hume–Rothery rules are distinguished from those derived from thermodynamic relations. The formers are generally applicable to mechanically alloyed samples.
Javier S. Blázquez +5 more
wiley +1 more source