LSPConv: local spatial projection convolution for point cloud analysis

LSPConv: local spatial projection convolution for point cloud analysis

This study introduces a novel approach, Local Spatial Projection Convolution (LSPConv), for point cloud classification and semantic segmentation. Unlike conventional methods utilizing relative coordinates for local geometric information, our motivation stems from the inadequacy of existing technique...

Full description

Bibliographic Details
Main Authors: Haoming Zhang, Ke Wang, Chen Zhong, Kaijie Yun, Zilong Wang, Yifan Yang, Xianshui Tao
Format: Article
Language:English
Published: PeerJ Inc. 2024-01-01
Series:PeerJ Computer Science
Subjects:
Deep learning
Point cloud
Semantic segmentation
Classification
Anisotropic kernel
Weight assignment
Online Access:https://peerj.com/articles/cs-1738.pdf

Internet

https://peerj.com/articles/cs-1738.pdf

Similar Items