Editorial for Special Issue on Three-dimensional Point Cloud Data Modeling, Processing, and Analysis
The rapid development of three-dimensional (3D) sensing technologies has led to an exponential growth in the availability of 3D point cloud data, consisting of a set of 3D coordinates indicating the spatial locations of points to explicitly represent the geometric structures of objects/scenes, associated with additional attribute information, e.g., color and normal. 3D point clouds are widely used in various fields, such as immersive telepresence, virtual/augmented reality, geographic mapping, and autonomous driving. This special issue focuses on all aspects of 3D point cloud data modeling, processing, and analysis. This special issue has collected 8 excellent articles reviewed and highly recommended by the editors and reviewers.
Authors
- Junhui Hou (ORCID: https://orcid.org/0000-0003-3431-2021)
- Hui Yuan (ORCID: https://orcid.org/0000-0001-5212-3393)
- Zhan Ma (ORCID: https://orcid.org/0000-0003-3686-4057)
- Shan Liu (ORCID: https://orcid.org/0000-0003-1847-8769)
Institutions
- Shandong University (CN)
- City University of Hong Kong (HK)
- Tencent (China) (CN)
- Nanjing University (CN)
Publication Details
- Journal
- APSIPA Transactions on Signal and Information Processing
- Published
- 2025-04-23
- DOI
- https://doi.org/10.1561/116.20250001
- Primary Topic
- Remote Sensing and LiDAR Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00