V2PNet: Voxel-to-Point Feature Propagation and Fusion That Improves Feature Representation for Point Cloud Registration

V2PNet: Voxel-to-Point Feature Propagation and Fusion That Improves Feature Representation for Point Cloud Registration

Point-based and voxel-based methods can learn the local features of point clouds. However, although point-based methods are geometrically precise, the discrete nature of point clouds negatively affects feature learning performance. Moreover, although voxel-based methods can exploit the learning powe...

Full description

Bibliographic Details
Main Authors: Han Hu, Yongkuo Hou, Yulin Ding, Guoqiang Pan, Min Chen, Xuming Ge
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
3-D feature point
3-D metric learning
point cloud registration
sparse convolution
Online Access:https://ieeexplore.ieee.org/document/10130555/

Internet

https://ieeexplore.ieee.org/document/10130555/

Similar Items