Cargando…

Learning Polynomial-Based Separable Convolution for 3D Point Cloud Analysis

Shape classification and segmentation of point cloud data are two of the most demanding tasks in photogrammetry and remote sensing applications, which aim to recognize object categories or point labels. Point convolution is an essential operation when designing a network on point clouds for these ta...

Descripción completa

Detalles Bibliográficos
Autores principales:	Yu, Ruixuan, Sun, Jian
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8235014/ https://www.ncbi.nlm.nih.gov/pubmed/34205310 http://dx.doi.org/10.3390/s21124211

Ejemplares similares

3D Point Cloud Recognition Based on a Multi-View Convolutional Neural Network
por: Zhang, Le, et al.
Publicado: (2018)

An Optimized Convolutional Neural Network for the 3D Point-Cloud Compression
por: Luo, Guoliang, et al.
Publicado: (2023)

Graph Convolutional Network for 3D Object Pose Estimation in a Point Cloud
por: Jung, Tae-Won, et al.
Publicado: (2022)

Finite free convolutions of polynomials
por: Marcus, Adam W., et al.
Publicado: (2022)

GC-MLP: Graph Convolution MLP for Point Cloud Analysis
por: Wang, Yong, et al.
Publicado: (2022)

PyraPVConv: Efficient 3D Point Cloud Perception with Pyramid Voxel Convolution and Sharable Attention
por: Chen, Yuhong, et al.
Publicado: (2022)

Autoencoders Based on 2D Convolution Implemented for Reconstruction Point Clouds from Line Laser Sensors
por: Klarák, Jaromír, et al.
Publicado: (2023)

Generating Point Cloud from Measurements and Shapes Based on Convolutional Neural Network: An Application for Building 3D Human Model
por: Nguyen, Mau Tung, et al.
Publicado: (2019)

Contrastive Learning for 3D Point Clouds Classification and Shape Completion
por: Nazir, Danish, et al.
Publicado: (2021)

Keyframe image processing of semantic 3D point clouds based on deep learning
por: Wang, Junxian, et al.
Publicado: (2023)

Corrigendum to “Generating Point Cloud from Measurements and Shapes Based on Convolutional Neural Network: An Application for Building 3D Human Model”
por: Nguyen, Mau Tung, et al.
Publicado: (2020)

Hierarchical Optimization of 3D Point Cloud Registration
por: Liu, Huikai, et al.
Publicado: (2020)

Spatial Aggregation Net: Point Cloud Semantic Segmentation Based on Multi-Directional Convolution
por: Cai, Guorong, et al.
Publicado: (2019)

Learning Representative Features by Deep Attention Network for 3D Point Cloud Registration
por: Xia, Xiaokai, et al.
Publicado: (2023)

Transfer Learning Based Semantic Segmentation for 3D Object Detection from Point Cloud
por: Imad, Muhammad, et al.
Publicado: (2021)

A Survey on Deep Learning Based Segmentation, Detection and Classification for 3D Point Clouds
por: Vinodkumar, Prasoon Kumar, et al.
Publicado: (2023)

Biview Learning for Human Posture Segmentation from 3D Points Cloud
por: Qiao, Maoying, et al.
Publicado: (2014)

Robust 3D point cloud registration based on bidirectional Maximum Correntropy Criterion
por: Zhang, Xuetao, et al.
Publicado: (2018)

Automatic 3D Surface Reconstruction of the Left Atrium From Clinically Mapped Point Clouds Using Convolutional Neural Networks
por: Xiong, Zhaohan, et al.
Publicado: (2022)

Diophantine equations in separated variables and polynomial power sums
por: Fuchs, Clemens, et al.
Publicado: (2021)

Research on point cloud hole filling and 3D reconstruction in reflective area
por: Sun, Chao, et al.
Publicado: (2023)

Deep Learned Quantization-Based Codec for 3D Airborne LiDAR Point Cloud Images
por: Tamilmathi, A. Christoper, et al.
Publicado: (2021)

Multi-Dimensional Underwater Point Cloud Detection Based on Deep Learning
por: Tsai, Chia-Ming, et al.
Publicado: (2021)

ResSANet: Learning Geometric Information for Point Cloud Processing
por: Zhu, Xiaojun, et al.
Publicado: (2021)

FF-Net: Feature-Fusion-Based Network for Semantic Segmentation of 3D Plant Point Cloud
por: Guo, Xindong, et al.
Publicado: (2023)

Geometric Feature Extraction of Point Cloud of Chemical Reactor Based on Dynamic Graph Convolution Neural Network
por: Xing, Zhizhong, et al.
Publicado: (2021)

Point Siamese Network for Person Tracking Using 3D Point Clouds
por: Cui, Yubo, et al.
Publicado: (2019)

Polynomials and polynomial inequalities
por: Borwein, Peter, et al.
Publicado: (1995)

Progressive Deep Learning Framework for Recognizing 3D Orientations and Object Class Based on Point Cloud Representation †
por: Lee, Sukhan, et al.
Publicado: (2021)

Research on orchard navigation method based on fusion of 3D SLAM and point cloud positioning
por: Xia, Ye, et al.
Publicado: (2023)

Identification lodging degree of wheat using point cloud data and convolutional neural network
por: Li, Yunlong, et al.
Publicado: (2022)

FGCN: Image-Fused Point Cloud Semantic Segmentation with Fusion Graph Convolutional Network
por: Zhang, Kun, et al.
Publicado: (2023)

A Review: Point Cloud-Based 3D Human Joints Estimation
por: Xu, Tianxu, et al.
Publicado: (2021)

Combined Edge- and Stixel-based Object Detection in 3D Point Cloud
por: Hu, Fangchao, et al.
Publicado: (2019)

Single-shot 3D imaging with point cloud projection based on metadevice
por: Jing, Xiaoli, et al.
Publicado: (2022)

Discrete Geodesic Distribution-Based Graph Kernel for 3D Point Clouds
por: Balcı, Mehmet Ali, et al.
Publicado: (2023)

RST: Rough Set Transformer for Point Cloud Learning
por: Sun, Xinwei, et al.
Publicado: (2023)

A Class of Quadratic Polynomial Chaotic Maps and Their Fixed Points Analysis
por: Wang, Chuanfu, et al.
Publicado: (2019)

Geological surface reconstruction from 3D point clouds
por: Serazio, Cristina, et al.
Publicado: (2021)

Feature-preserving simplification framework for 3D point cloud
por: Xu, Xueli, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_crb10pe2ijm38uhicvognr8s32