Symmetry/Asymmetry in Artificial Intelligence for Point Cloud Data Processing
A special issue of Symmetry (ISSN 2073-8994). This special issue belongs to the section "Computer".
Deadline for manuscript submissions: 1 November 2025 | Viewed by 789
Special Issue Editors
Interests: point cloud registration; object recognition; point cloud segmentation; classification
Interests: indoor point cloud; point cloud feature extraction
Special Issue Information
Dear Colleagues,
With the development of 3D acquisition techniques, e.g., Kinect and LiDAR, point cloud data are becoming more and more popular and are being increasingly used in many applications, such as 3D reconstruction, simultaneous localization and mapping (SLAM), building information management (BIM), automatic drive, virtual reality (VR), and augmented reality (AR). In order to better serve these applications, symmetry and asymmetry intelligent point cloud data processing plays a crucial role. Owing to different kinds of nuisances (including noise, density variation, occlusion, clutter, data missing, etc.) in the point clouds and complex scanning environment, the point cloud data processing faces great challenge. Therefore, point cloud data processing should be paid much attention, which is the topic of this Special Issue.We are pleased to invite you to submit your works about intelligent point cloud data processing and symmetry and asymmetry to this Special Issue. Original research articles and reviews are welcome. Research areas may include (but are not limited to) the following: (1) Point cloud registration; (2) Symmetry/Asymmetry and Point cloud segmentation; (3) 3D object recognition; (4) Road object extraction and classification; (5) Building contour extraction; (6) Registration of point cloud and image; (7) Place recognition based on point cloud. We look forward to receiving your contributions.
Dr. Wuyong Tao
Dr. Xijiang Chen
Dr. Yufu Zang
Guest Editors
Manuscript Submission Information
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Keywords
- 3D object recognition
- point cloud registration
- virtual reality
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