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Recently, point-based point cloud geometry compression has attracted great attention due to its superior performance at low bit rates. However, lacking an efficient way to represent the local geometric correlation well, most existing methods [1, 2, 3] can hardly extract fine local features accurately. Thus it's difficult for them to obtain high-quality reconstruction of local geometry of point clouds. © 2023 IEEE.
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ISSN: 1068-0314
Year: 2023
Volume: 2023-March
Page: 368-
Language: English
Cited Count:
WoS CC Cited Count: 0
SCOPUS Cited Count: 2
ESI Highly Cited Papers on the List: 0 Unfold All
WanFang Cited Count:
Chinese Cited Count:
30 Days PV: 4
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