Cargando…

Virtual Namesake Point Multi-Source Point Cloud Data Fusion Based on FPFH Feature Difference

There are many sources of point cloud data, such as the point cloud model obtained after a bundle adjustment of aerial images, the point cloud acquired by scanning a vehicle-borne light detection and ranging (LiDAR), the point cloud acquired by terrestrial laser scanning, etc. Different sensors use...

Descripción completa

Detalles Bibliográficos
Autores principales:	Zheng, Li, Li, Zhukun
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8399069/ https://www.ncbi.nlm.nih.gov/pubmed/34450883 http://dx.doi.org/10.3390/s21165441

Ejemplares similares

Point Cloud Semantic Segmentation Network Based on Multi-Scale Feature Fusion
por: Du, Jing, et al.
Publicado: (2021)

Effective Point Cloud Analysis Using Multi-Scale Features
por: Zheng, Qiang, et al.
Publicado: (2021)

Graph Attention Feature Fusion Network for ALS Point Cloud Classification
por: Yang, Jie, et al.
Publicado: (2021)

Comparison of Different Feature Sets for TLS Point Cloud Classification
por: Li, Quan, et al.
Publicado: (2018)

CGR-Block: Correlated Feature Extractor and Geometric Feature Fusion for Point Cloud Analysis
por: Wang, Fan, et al.
Publicado: (2022)

A Lightweight Network for Point Cloud Analysis via the Fusion of Local Features and Distribution Characteristics
por: Zheng, Qiang, et al.
Publicado: (2022)

Point cloud registration of arrester based on scale-invariant points feature histogram
por: Zhu, Wen, et al.
Publicado: (2022)

Refined Voting and Scene Feature Fusion for 3D Object Detection in Point Clouds
por: Yu, Hang, et al.
Publicado: (2022)

Feature Analysis of Scanning Point Cloud of Structure and Research on Hole Repair Technology Considering Space-Ground Multi-Source 3D Data Acquisition
por: Pu, Xinming, et al.
Publicado: (2022)

Deep Global Features for Point Cloud Alignment
por: Khazari, Ahmed El, et al.
Publicado: (2020)

Recognizing Objects in 3D Point Clouds with Multi-Scale Local Features
por: Lu, Min, et al.
Publicado: (2014)

Data-Driven Point Cloud Objects Completion
por: Zhang, Yang, et al.
Publicado: (2019)

Outdoor Scene Understanding Based on Multi-Scale PBA Image Features and Point Cloud Features
por: Liu, Yisha, et al.
Publicado: (2019)

A Geometric-Feature-Based Method for Automatic Extraction of Anchor Rod Points from Dense Point Cloud
por: Li, Siyuan, et al.
Publicado: (2022)

Feature Consistent Point Cloud Registration in Building Information Modeling
por: Jiang, Hengyu, et al.
Publicado: (2022)

Scattered Train Bolt Point Cloud Segmentation Based on Hierarchical Multi-Scale Feature Learning
por: Zeng, Ni, et al.
Publicado: (2023)

Multi-Scope Feature Extraction for Intracranial Aneurysm 3D Point Cloud Completion
por: Ma, Wuwei, et al.
Publicado: (2022)

PU-MFA: Point Cloud Up-Sampling via Multi-Scale Features Attention
por: Lee, Hyungjun, et al.
Publicado: (2022)

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

DNet: Dynamic Neighborhood Feature Learning in Point Cloud
por: Tian, Fujing, et al.
Publicado: (2021)

Considerations for Achieving Cross-Platform Point Cloud Data Fusion across Different Dryland Ecosystem Structural States
por: Swetnam, Tyson L., et al.
Publicado: (2018)

An improved fused feature residual network for 3D point cloud data
por: Gezawa, Abubakar Sulaiman, et al.
Publicado: (2023)

An Iterative Closest Points Algorithm for Registration of 3D Laser Scanner Point Clouds with Geometric Features
por: He, Ying, et al.
Publicado: (2017)

Point Cloud Completion Network Applied to Vehicle Data
por: Ma, Xuehan, et al.
Publicado: (2022)

Muti-Frame Point Cloud Feature Fusion Based on Attention Mechanisms for 3D Object Detection
por: Zhai, Zhenyu, et al.
Publicado: (2022)

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

DOPNet: Achieving Accurate and Efficient Point Cloud Registration Based on Deep Learning and Multi-Level Features
por: Yi, Rongbin, et al.
Publicado: (2022)

Points for energy renovation (PointER): A point cloud dataset of a million buildings linked to energy features
por: Krapf, Sebastian, et al.
Publicado: (2023)

Towards Human in the Loop Analysis of Complex Point Clouds: Advanced Visualizations, Quantifications, and Communication Features in Virtual Reality
por: Blanc, Thomas, et al.
Publicado: (2022)

Mobile Robot Localization and Mapping Algorithm Based on the Fusion of Image and Laser Point Cloud
por: Dai, Jun, et al.
Publicado: (2022)

A Multi-Feature Fusion Slam System Attaching Semantic Invariant to Points and Lines
por: Li, Gang, et al.
Publicado: (2021)

Point Density Variations in Airborne Lidar Point Clouds
por: Petras, Vaclav, et al.
Publicado: (2023)

Point clouds segmentation of rapeseed siliques based on sparse-dense point clouds mapping
por: Qiao, Yuhui, et al.
Publicado: (2023)

An efficient outlier removal method for scattered point cloud data
por: Ning, Xiaojuan, et al.
Publicado: (2018)

Airborne LiDAR point cloud classification using PointNet++ network with full neighborhood features
por: Nong, Xingzhong, et al.
Publicado: (2023)

Driver’s Head Pose and Gaze Zone Estimation Based on Multi-Zone Templates Registration and Multi-Frame Point Cloud Fusion
por: Wang, Yafei, et al.
Publicado: (2022)

Picking Towels in Point Clouds
por: Wang, Xiaoman, et al.
Publicado: (2019)

Sensors Fusion and Multidimensional Point Cloud Analysis for Electrical Power System Inspection
por: Vidal, Vinicius F., et al.
Publicado: (2020)

Joint registration of multiple point clouds for fast particle fusion in localization microscopy
por: Wang, Wenxiu, et al.
Publicado: (2022)

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

Cannot write session to /tmp/vufind_sessions/sess_pvjpmulq57c2k7mh6s86mpn51l