research-article

Proximity Queries on Point Clouds using Rapid Construction Path Oracle

Authors:

Raymond Chi-Wing WongAuthors Info & Claims

Proceedings of the ACM on Management of Data, Volume 2, Issue 1

Article No.: 6, Pages 1 - 26

https://doi.org/10.1145/3639261

Published: 26 March 2024 Publication History

Abstract

The prevalence of computer graphics technology boosts the developments of point clouds in recent years, which offer advantages over terrain surfaces (represented by Triangular Irregular Networks, i.e., TINs) in proximity queries, including the shortest path query, the k-Nearest Neighbor (kNN) query and the range query. Since (1) all existing on-the-fly and oracle-based shortest path query algorithms on a TIN are very expensive, (2) all existing on-the-fly shortest path query algorithms on a point cloud are still not efficient, and (3) there are no oracle-based shortest path query algorithms on a point cloud, we propose an efficient (1+ε)-approximate shortest path oracle that answers the shortest path query for a set of Points-Of-Interests (POIs) on the point cloud, which has a good performance (in terms of the oracle construction time, oracle size and shortest path query time) due to the concise information about the pairwise shortest paths between any pair of POIs stored in the oracle. Our oracle can be easily adapted to answering the shortest path query for any points on the point cloud if POIs are not given as input, and also achieve a good performance. Then, we propose efficient algorithms for answering the (1+ε)-approximate kNN and range query with the assistance of our oracle. Our experimental results show that when POIs are given (resp. not given) as input, our oracle is up to 390 times, 30 times and 6 times (resp. 500 times, 140 times and 50 times) better than the best-known oracle on a TIN in terms of the oracle construction time, oracle size and shortest path query time, respectively. Our algorithms for the other two proximity queries are both up to 100 times faster than the best-known algorithms.

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Cited By

Yan YWong R(2024)Efficient Shortest Path Queries on 3D Weighted Terrain Surfaces for Moving Objects2024 25th IEEE International Conference on Mobile Data Management (MDM)10.1109/MDM61037.2024.00023(11-20)Online publication date: 24-Jun-2024
https://doi.org/10.1109/MDM61037.2024.00023

Index Terms

Proximity Queries on Point Clouds using Rapid Construction Path Oracle
1. Information systems
  1. Data management systems
    1. Data structures
      1. Data access methods
        Proximity search

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cover image Proceedings of the ACM on Management of Data

Proceedings of the ACM on Management of Data Volume 2, Issue 1

SIGMOD

February 2024

1874 pages

EISSN:2836-6573

DOI:10.1145/3654807

Editor:
Divyakant Agrawal
UC Santa Barbara, United States

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Copyright © 2024 ACM.

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Publication History

Published: 26 March 2024

Published in PACMMOD Volume 2, Issue 1

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Presentation slides and video https://dl.acm.org/doi/10.1145/3639261#Video - Proximity Queries on Point Clouds using Rapid Construction Path Oracle.mp4

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Presentation slides and video https://dl.acm.org/doi/10.1145/3639261#Presentation slides and video - Proximity Queries on Point Clouds using Rapid Construction Path Oracle.zip

Presentation slides and video https://dl.acm.org/doi/10.1145/3639261#Presentation slides and video - Proximity Queries on Point Clouds using Rapid Construction Path Oracle.zip

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Cited By

Yan YWong R(2024)Efficient Shortest Path Queries on 3D Weighted Terrain Surfaces for Moving Objects2024 25th IEEE International Conference on Mobile Data Management (MDM)10.1109/MDM61037.2024.00023(11-20)Online publication date: 24-Jun-2024
https://doi.org/10.1109/MDM61037.2024.00023

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