Point Cloud Encoding
Point Cloud Encoding is a computational method that transforms raw point cloud data into a compact, structured representation by preserving spatial and semantic characteristics through encoding techniques specific to irregular 3D point sets.
244
Publications
11.6K
Citations
567
Authors
192
Institutions
Publications per year
2017–2026
214
Parents
244
Danillo B. Graziosi, Ohji Nakagami, S. Kuma et al. · APSIPA Transactions on Signal and Information Processing · 2020 · 461 citations · Full text
PCPN<scp>et</scp> Learning Local Shape Properties from Raw Point Clouds
Paul Guerrero, Yanir Kleiman, Maks Ovsjanikov et al. · Computer Graphics Forum · 2018 · 350 citations · Full text
1–5 of 244
567
17
h-index
15
h-index
12
h-index
12
h-index
12
h-index
1–5 of 567
192
University of Missouri–Kansas City
Kansas City, United States
17 h-index
28 publications
2.1K citations

Peking University
Beijing, China
16 h-index
54 publications
2.2K citations
Instituto de Telecomunicações
Lisbon, Portugal
14 h-index
66 publications
3K citations
Universidade de Brasília
Brasília, Brazil
14 h-index
31 publications
1.8K citations

Shanghai Jiao Tong University
Shanghai, China
13 h-index
29 publications
1.2K citations
Peng Cheng Laboratory
Shenzhen, China
13 h-index
27 publications
1.1K citations
École Polytechnique Fédérale de Lausanne
Lausanne, Switzerland
9 h-index
23 publications
1.2K citations
Shandong University
Jinan, China
9 h-index
11 publications
350 citations
1–8 of 192
11 publications · 893 citations
13
h-index
Repository · 14 publications · 382 citations
11
h-index
11 publications · 812 citations
11
h-index
7 publications · 230 citations
9
h-index
8 publications · 491 citations
8
h-index
1–5