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Author:

Wang, D. (Wang, D..) | Wang, J. (Wang, J..) | Shi, Y. (Shi, Y..) | Ling, N. (Ling, N..) | Yin, B. (Yin, B..)

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CPCI-S EI Scopus

Abstract:

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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Author Community:

  • [ 1 ] [Wang D.]Beijing University of Technology, Beijing, 100124, China
  • [ 2 ] [Wang J.]Beijing University of Technology, Beijing, 100124, China
  • [ 3 ] [Shi Y.]Beijing University of Technology, Beijing, 100124, China
  • [ 4 ] [Ling N.]Santa Clara University, Santa Clara, 95053, CA, United States
  • [ 5 ] [Yin B.]Beijing University of Technology, Beijing, 100124, China

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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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