Copertina

Point Cloud Registration via Probabilistic Self-Update Local Correspondence and Line Vector Sets

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Chung, Kuo-Liang, Lin, Yu-Cheng, Chen, Wu-Chi
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

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

Quantity-Aware Coarse-to-Fine Correspondence for Image-to-Point Cloud Registration
di: Yao, Gongxin, et al.
Pubblicazione: (2023)

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

EADReg: Probabilistic Correspondence Generation with Efficient Autoregressive Diffusion Model for Outdoor Point Cloud Registration
di: Gong, Linrui, et al.
Pubblicazione: (2024)

Incremental Multiview Point Cloud Registration
di: Cheng, Xiaoya, et al.
Pubblicazione: (2024)

A Novel Grouping-Based Hybrid Color Correction Algorithm for Color Point Clouds
di: Chung, Kuo-Liang, et al.
Pubblicazione: (2025)

LAHNet: Local Attentive Hashing Network for Point Cloud Registration
di: Qu, Wentao, et al.
Pubblicazione: (2025)

VRHCF: Cross-Source Point Cloud Registration via Voxel Representation and Hierarchical Correspondence Filtering
di: Zhao, Guiyu, et al.
Pubblicazione: (2024)

Localized Gaussians as Self-Attention Weights for Point Clouds Correspondence
di: Riva, Alessandro, et al.
Pubblicazione: (2024)

Learning Instance-Aware Correspondences for Robust Multi-Instance Point Cloud Registration in Cluttered Scenes
di: Yu, Zhiyuan, et al.
Pubblicazione: (2024)

Diff-PCR: Diffusion-Based Correspondence Searching in Doubly Stochastic Matrix Space for Point Cloud Registration
di: Shi, Haihua, et al.
Pubblicazione: (2023)

Efficient and Deterministic Search Strategy Based on Residual Projections for Point Cloud Registration with Correspondences
di: Li, Xinyi, et al.
Pubblicazione: (2023)

A New Outlier Removal Strategy Based on Reliability of Correspondence Graph for Fast Point Cloud Registration
di: Yan, Li, et al.
Pubblicazione: (2022)

Extend Your Own Correspondences: Unsupervised Distant Point Cloud Registration by Progressive Distance Extension
di: Liu, Quan, et al.
Pubblicazione: (2024)

Geometry-to-Image Synthesis-Driven Generative Point Cloud Registration
di: Jiang, Haobo, et al.
Pubblicazione: (2025)

Unlocking Generalization Power in LiDAR Point Cloud Registration
di: Zeng, Zhenxuan, et al.
Pubblicazione: (2025)

CoFiI2P: Coarse-to-Fine Correspondences for Image-to-Point Cloud Registration
di: Kang, Shuhao, et al.
Pubblicazione: (2023)

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

HumanReg: Self-supervised Non-rigid Registration of Human Point Cloud
di: Chen, Yifan, et al.
Pubblicazione: (2023)

PCR-CG: Point Cloud Registration via Deep Explicit Color and Geometry
di: Zhang, Yu, et al.
Pubblicazione: (2023)

Correspondence-Free Non-Rigid Point Set Registration Using Unsupervised Clustering Analysis
di: Zhao, Mingyang, et al.
Pubblicazione: (2024)

Correspondence Free Multivector Cloud Registration using Conformal Geometric Algebra
di: Vasconcelos, Francisco Xavier, et al.
Pubblicazione: (2024)

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

DIPR: Efficient Point Cloud Registration via Dynamic Iteration
di: Ai, Yang, et al.
Pubblicazione: (2023)

Equivariant Local Reference Frames for Unsupervised Non-rigid Point Cloud Shape Correspondence
di: Wang, Ling, et al.
Pubblicazione: (2024)

Graph Matching Optimization Network for Point Cloud Registration
di: Wu, Qianliang, et al.
Pubblicazione: (2023)

SGNet: Salient Geometric Network for Point Cloud Registration
di: Wu, Qianliang, et al.
Pubblicazione: (2023)

A Consistency-Aware Spot-Guided Transformer for Versatile and Hierarchical Point Cloud Registration
di: Huang, Renlang, et al.
Pubblicazione: (2024)

DINOReg: Strong Point Cloud Registration with Vision Foundation Model
di: Chen, Congjia, et al.
Pubblicazione: (2025)

HybridReg: Robust 3D Point Cloud Registration with Hybrid Motions
di: Du, Keyu, et al.
Pubblicazione: (2025)

Multiview Point Cloud Registration via Optimization in an Autoencoder Latent Space
di: Vedrenne, Luc, et al.
Pubblicazione: (2025)

Memory-Efficient Point Cloud Registration via Overlapping Region Sampling
di: Shimada, Tomoyasu, et al.
Pubblicazione: (2024)

Correspondence-Free Fast and Robust Spherical Point Pattern Registration
di: Sarker, Anik, et al.
Pubblicazione: (2025)

PointDifformer: Robust Point Cloud Registration With Neural Diffusion and Transformer
di: She, Rui, et al.
Pubblicazione: (2024)

FF-LOGO: Cross-Modality Point Cloud Registration with Feature Filtering and Local to Global Optimization
di: Ma, Nan, et al.
Pubblicazione: (2023)

Fully-Geometric Cross-Attention for Point Cloud Registration
di: Wang, Weijie, et al.
Pubblicazione: (2025)

Global Point Cloud Registration Network for Large Transformations
di: Cuevas-Velasquez, Hanz, et al.
Pubblicazione: (2024)

Sight View Constraint for Robust Point Cloud Registration
di: Zhang, Yaojie, et al.
Pubblicazione: (2024)

A Strong Baseline for Point Cloud Registration via Direct Superpoints Matching
di: Gupta, Aniket, et al.
Pubblicazione: (2023)

TurboReg: TurboClique for Robust and Efficient Point Cloud Registration
di: Yan, Shaocheng, et al.
Pubblicazione: (2025)