PDConv: Rigid transformation invariant convolution for 3D point clouds-Reference-Cited by-同舟云学术

PDConv: Rigid transformation invariant convolution for 3D point clouds

Published:2022-12 Issue: Volume:210 Page:118356
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Bello Saifullahi Aminu^ORCID,Wang Cheng^ORCID,Sun Xiaotian,Deng Haowen,Adam Jibril Muhammad^ORCID,Bhatti Muhammad Kamran Afzal^ORCID,Wambugu Naftaly Muriuki

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference36 articles.

1. 3D semantic parsing of large-scale indoor spaces;Armeni,2016

2. FFPointNet: Local and global fused feature for 3D point clouds analysis;Bello;Neurocomputing,2021

3. Review: Deep learning on 3D point clouds;Bello;Remote Sensing,2020

4. ShapeNet: An information-rich 3D model repository;Chang,2015

5. ClusterNet: Deep hierarchical cluster network with rigorously rotation-invariant representation for point cloud analysis;Chen,2019

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