Cargando…

A Maximum Feasible Subsystem for Globally Optimal 3D Point Cloud Registration

In this paper, a globally optimal algorithm based on a maximum feasible subsystem framework is proposed for robust pairwise registration of point cloud data. Registration is formulated as a branch-and-bound problem with mixed-integer linear programming. Among the putative matches of three-dimensiona...

Descripción completa

Detalles Bibliográficos
Autores principales:	Yu, Chanki, Ju, Da Young
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2018
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5856135/ https://www.ncbi.nlm.nih.gov/pubmed/29439440 http://dx.doi.org/10.3390/s18020544

Ejemplares similares

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

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

Genetic Algorithm-Based Optimization for Color Point Cloud Registration
por: Liu, Dongsheng, et al.
Publicado: (2022)

3D Static Point Cloud Registration by Estimating Temporal Human Pose at Multiview
por: Park, Byung-Seo, et al.
Publicado: (2022)

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

Multi-View Laser Point Cloud Global Registration for a Single Object
por: Wang, Shuai, et al.
Publicado: (2018)

3D Global Localization in the Underground Mine Environment Using Mobile LiDAR Mapping and Point Cloud Registration
por: Baek, Jieun, et al.
Publicado: (2022)

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

3D Convex Hull-Based Registration Method for Point Cloud Watermark Extraction
por: Lipuš, Bogdan, et al.
Publicado: (2019)

Colored Point Cloud Registration by Depth Filtering
por: Choi, Ouk, et al.
Publicado: (2021)

Object recognition and localization from 3D point clouds by maximum-likelihood estimation
por: Dantanarayana, Harshana G., et al.
Publicado: (2017)

Fast Method of Registration for 3D RGB Point Cloud with Improved Four Initial Point Pairs Algorithm
por: Li, Peng, et al.
Publicado: (2019)

Evaluation of the Convergence Region of an Automated Registration Method for 3D Laser Scanner Point Clouds
por: Bae, Kwang-Ho
Publicado: (2009)

Registration of Laser Scanning Point Clouds: A Review
por: Cheng, Liang, et al.
Publicado: (2018)

Registration of spatio-temporal point clouds of plants for phenotyping
por: Chebrolu, Nived, et al.
Publicado: (2021)

Uniaxial Partitioning Strategy for Efficient Point Cloud Registration
por: Souza Neto, Polycarpo, et al.
Publicado: (2022)

DeepMatch: Toward Lightweight in Point Cloud Registration
por: Qi, Lizhe, et al.
Publicado: (2022)

Iterative K-Closest Point Algorithms for Colored Point Cloud Registration
por: Choi, Ouk, et al.
Publicado: (2020)

Self-Supervised Point Set Local Descriptors for Point Cloud Registration
por: Yuan, Yijun, et al.
Publicado: (2021)

Accurate Global Point Cloud Registration Using GPU-Based Parallel Angular Radon Spectrum
por: Fontana, Ernesto, et al.
Publicado: (2023)

Matching Algorithm for 3D Point Cloud Recognition and Registration Based on Multi-Statistics Histogram Descriptors
por: Li, Jinlong, et al.
Publicado: (2022)

NrtNet: An Unsupervised Method for 3D Non-Rigid Point Cloud Registration Based on Transformer
por: Hu, Xiaobo, et al.
Publicado: (2022)

3D LiDAR Point Cloud Registration Based on IMU Preintegration in Coal Mine Roadways
por: Yang, Lin, et al.
Publicado: (2023)

2.5D Multi-View Gait Recognition Based on Point Cloud Registration
por: Tang, Jin, et al.
Publicado: (2014)

Indoor Scene Point Cloud Registration Algorithm Based on RGB-D Camera Calibration
por: Tsai, Chi-Yi, et al.
Publicado: (2017)

RGB-D-Based Pose Estimation of Workpieces with Semantic Segmentation and Point Cloud Registration
por: Xu, Hui, et al.
Publicado: (2019)

TIF-Reg: Point Cloud Registration with Transform-Invariant Features in SE(3)
por: Chen, Baifan, et al.
Publicado: (2021)

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

A review of point cloud registration algorithms for mobile robotics
por: Pomerleau, François, et al.
Publicado: (2015)

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

Fast Registration of Point Cloud Based on Custom Semantic Extraction
por: Wu, Jianing, et al.
Publicado: (2022)

A Novel Point Cloud Registration Method Based on ROPNet
por: Li, Yuan, et al.
Publicado: (2023)

SAP-Net: A Simple and Robust 3D Point Cloud Registration Network Based on Local Shape Features
por: Li, Jinlong, et al.
Publicado: (2021)

A Registration Method Based on Contour Point Cloud for 3D Whole-Body PET and CT Images
por: Song, Zhiying, et al.
Publicado: (2017)

Semantic Registration and Discovery System of Subsystems and Services within an Interoperable Coordination Platform in Smart Cities
por: Rubio, Gregorio, et al.
Publicado: (2016)

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

High-Precision Registration of Point Clouds Based on Sphere Feature Constraints
por: Huang, Junhui, et al.
Publicado: (2016)

A Depth-Based Weighted Point Cloud Registration for Indoor Scene
por: Liu, Shuntao, et al.
Publicado: (2018)

Global Registration of Subway Tunnel Point Clouds Using an Augmented Extended Kalman Filter and Central-Axis Constraint
por: Kang, Zhizhong, et al.
Publicado: (2015)

Demonstrating multi-round subsystem quantum error correction using matching and maximum likelihood decoders
por: Sundaresan, Neereja, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_6si7tjpegjt404m2gdcssdvndc