Point Cloud Retrieval
Point Cloud Retrieval is the information retrieval task of identifying and retrieving relevant point cloud data from a large-scale dataset based on a query, which may be another point cloud, a 3D model, an image, or a textual description, thereby distinguishing it from other point cloud processing tasks by its focus on search and correspondence establishment.
59
Publications
4.1K
Citations
235
Authors
103
Institutions
Publications per year
2017–2026
27
Parents
59
Intrinsic shape signatures: A shape descriptor for 3D object recognition
Yu Zhong · 2009 · 800 citations
LPD-Net: 3D Point Cloud Learning for Large-Scale Place Recognition and Environment Analysis
Zhe Liu, Shunbo Zhou, Chuanzhe Suo et al. · 2019 · 315 citations
Image Retrieval for Image-Based Localization Revisited
Torsten Sattler, Tobias Weyand, Bastian Leibe et al. · 2012 · 308 citations
GIFT: A Real-Time and Scalable 3D Shape Search Engine
Song Bai, Xiang Bai, Zhichao Zhou et al. · 2016 · 258 citations · Full text
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National Institute of Standards and Technology, United States
3 publications · 47 citations
3
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3
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3
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1–5 of 235
103
Tianjin University
Tianjin, China
3 h-index
9 publications
129 citations
Wuhan University
Wuhan, China
3 h-index
8 publications
644 citations
Tsinghua University
Beijing, China
3 h-index
7 publications
728 citations
Utrecht University
Utrecht, The Netherlands
3 h-index
7 publications
449 citations
University of Oxford
Oxford, United Kingdom
2 h-index
2 publications
138 citations
National Institute of Standards and Technology
Gaithersburg, United States
2 h-index
2 publications
35 citations

Democritus University of Thrace
Komotini, Greece
2 h-index
4 publications
156 citations
State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing
Wuhan, China
2 h-index
2 publications
57 citations
1–8 of 103
Repository · 3 publications · 85 citations
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2 publications · 56 citations
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2 publications · 44 citations
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2 publications · 56 citations
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1 publications · 14 citations
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