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Variable Rate Point Cloud Geometry Compression Method [PDF]
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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Efficient Large-Scale Point Cloud Geometry Compression [PDF]
SensorsDue to the significant bandwidth and memory requirements for transmitting and storing large-scale point clouds, considerable progress has been made in recent years in the field of large-scale point cloud geometry compression.
Shiyu Lu, Cheng Han, Huamin Yang
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Point Cloud Geometry Compression Based on Multi-Layer Residual Structure [PDF]
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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Advanced Patch-Based Affine Motion Estimation for Dynamic Point Cloud Geometry Compression [PDF]
SensorsThe substantial data volume within dynamic point clouds representing three-dimensional moving entities necessitates advancements in compression techniques. Motion estimation (ME) is crucial for reducing point cloud temporal redundancy.
Yiting Shao, Wei Gao, Shan Liu, Ge Li
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TransPCGC: Point Cloud Geometry Compression Based on Transformers
Algorithms, 2023 Due to the often substantial size of the real-world point cloud data, efficient transmission and storage have become critical concerns. Point cloud compression plays a decisive role in addressing these challenges.
Shiyu Lu, Huamin Yang, Cheng Han
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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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Autoregressive and Residual Index Convolution Model for Point Cloud Geometry Compression [PDF]
SensorsThis study introduces a hybrid point cloud compression method that transfers from octree-nodes to voxel occupancy estimation to find its lower-bound bitrate by using a Binary Arithmetic Range Coder.
Gerald Baulig, Jiun-In Guo
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Multiscale Point Cloud Geometry Compression [PDF]
2021 Data Compression Conference (DCC), 2021 Recent years have witnessed the growth of point cloud based applications because of its realistic and fine-grained representation of 3D objects and scenes. However, it is a challenging problem to compress sparse, unstructured, and high-precision 3D points for efficient communication.
Wang, Jianqiang +3 more
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Learning-Based Lossless Compression of 3D Point Cloud Geometry [PDF]
ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021 5 pages, accepted paper at ICASSP ...
Nguyen, Dat Thanh +3 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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