Imagen de Portada

Multi-Model 3D Registration: Finding Multiple Moving Objects in Cluttered Point Clouds

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Jin, David, Karmalkar, Sushrut, Zhang, Harry, Carlone, Luca
Formato:	Preprint
Publicado:	2024
Materias:	Robotics Computer Vision and Pattern Recognition
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Towards Zero-Shot Point Cloud Registration Across Diverse Scales, Scenes, and Sensor Setups
por: Lim, Hyungtae, et al.
Publicado: (2026)

KISS-Matcher: Fast and Robust Point Cloud Registration Revisited
por: Lim, Hyungtae, et al.
Publicado: (2024)

CRISP: Object Pose and Shape Estimation with Test-Time Adaptation
por: Shi, Jingnan, et al.
Publicado: (2024)

Theoretical Analysis for Expectation-Maximization-Based Multi-Model 3D Registration
por: Jin, David, et al.
Publicado: (2024)

CUPS: Improving Human Pose-Shape Estimators with Conformalized Deep Uncertainty
por: Zhang, Harry, et al.
Publicado: (2024)

BUFFER-X: Towards Zero-Shot Point Cloud Registration in Diverse Scenes
por: Seo, Minkyun, et al.
Publicado: (2025)

H2OFlow: Grounding Human-Object Affordances with 3D Generative Models and Dense Diffused Flows
por: Zhang, Harry, et al.
Publicado: (2025)

Uncertainty Quantification for Visual Object Pose Estimation
por: Shaikewitz, Lorenzo, et al.
Publicado: (2025)

Moving Object Segmentation in Point Cloud Data using Hidden Markov Models
por: Bhandari, Vedant, et al.
Publicado: (2024)

CHAMP: Conformalized 3D Human Multi-Hypothesis Pose Estimators
por: Zhang, Harry, et al.
Publicado: (2024)

Register Any Point: Scaling 3D Point Cloud Registration by Flow Matching
por: Pan, Yue, et al.
Publicado: (2025)

Category-Level Object Shape and Pose Estimation in Less Than a Millisecond
por: Shaikewitz, Lorenzo, et al.
Publicado: (2025)

Point Tree Transformer for Point Cloud Registration
por: Wang, Meiling, et al.
Publicado: (2024)

Pandora: Articulated 3D Scene Graphs from Egocentric Vision
por: Yu, Alan, et al.
Publicado: (2026)

VGGT-SLAM 2.0: Real-time Dense Feed-forward Scene Reconstruction
por: Maggio, Dominic, et al.
Publicado: (2026)

Benchmarking Classical and Learning-Based Multibeam Point Cloud Registration
por: Ling, Li, et al.
Publicado: (2024)

HeLiMOS: A Dataset for Moving Object Segmentation in 3D Point Clouds From Heterogeneous LiDAR Sensors
por: Lim, Hyungtae, et al.
Publicado: (2024)

Human-Interpretable Uncertainty Explanations for Point Cloud Registration
por: Gaus, Johannes A., et al.
Publicado: (2025)

Voxel Mamba: Group-Free State Space Models for Point Cloud based 3D Object Detection
por: Zhang, Guowen, et al.
Publicado: (2024)

End-to-end 2D-3D Registration between Image and LiDAR Point Cloud for Vehicle Localization
por: Wang, Guangming, et al.
Publicado: (2023)

AutoURDF: Unsupervised Robot Modeling from Point Cloud Frames Using Cluster Registration
por: Lin, Jiong, et al.
Publicado: (2024)

Correspondence-Free SE(3) Point Cloud Registration in RKHS via Unsupervised Equivariant Learning
por: Zhang, Ray, et al.
Publicado: (2024)

Incremental Multiview Point Cloud Registration with Two-stage Candidate Retrieval
por: Li, Shiqi, et al.
Publicado: (2024)

Informative Object-centric Next Best View for Object-aware 3D Gaussian Splatting in Cluttered Scenes
por: Jeong, Seunghoon, et al.
Publicado: (2026)

Object Registration in Neural Fields
por: Hall, David, et al.
Publicado: (2024)

PIRATR: Parametric Object Inference for Robotic Applications with Transformers in 3D Point Clouds
por: Schwingshackl, Michael, et al.
Publicado: (2026)

Unsupervised Point Cloud Registration with Self-Distillation
por: Löwens, Christian, et al.
Publicado: (2024)

SANDRO: a Robust Solver with a Splitting Strategy for Point Cloud Registration
por: Adlerstein, Michael, et al.
Publicado: (2025)

Matching Distance and Geometric Distribution Aided Learning Multiview Point Cloud Registration
por: Li, Shiqi, et al.
Publicado: (2025)

Efficient and Robust Point Cloud Registration via Heuristics-guided Parameter Search
por: Huang, Tianyu, et al.
Publicado: (2024)

Registration between Point Cloud Streams and Sequential Bounding Boxes via Gradient Descent
por: Li, Xuesong, et al.
Publicado: (2024)

PCR-99: A Practical Method for Point Cloud Registration with 99 Percent Outliers
por: Lee, Seong Hun, et al.
Publicado: (2024)

MATCH POLICY: A Simple Pipeline from Point Cloud Registration to Manipulation Policies
por: Huang, Haojie, et al.
Publicado: (2024)

Correspondence-Free Multiview Point Cloud Registration via Depth-Guided Joint Optimisation
por: Zhou, Yiran, et al.
Publicado: (2025)

RaTrack: Moving Object Detection and Tracking with 4D Radar Point Cloud
por: Pan, Zhijun, et al.
Publicado: (2023)

MaskPlanner: Learning-Based Object-Centric Motion Generation from 3D Point Clouds
por: Tiboni, Gabriele, et al.
Publicado: (2025)

L-PR: Exploiting LiDAR Fiducial Marker for Unordered Low Overlap Multiview Point Cloud Registration
por: Liu, Yibo, et al.
Publicado: (2024)

FlowBot3D: Learning 3D Articulation Flow to Manipulate Articulated Objects
por: Eisner, Ben, et al.
Publicado: (2022)

GMOR: A Lightweight Robust Point Cloud Registration Framework via Geometric Maximum Overlapping
por: Zheng, Zhao, et al.
Publicado: (2025)

A Direct Semi-Exhaustive Search Method for Robust, Partial-to-Full Point Cloud Registration
por: Cheng, Richard, et al.
Publicado: (2025)