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Point Cloud Registration
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Point Cloud Registration is a fundamental problem in 3D computer vision and photogrammetry. Given several sets of points in different coordinate systems, the aim of registration is to find the transformation that best aligns all of them into a common coordinate system. Point Cloud Registration plays a significant role in many vision applications such as 3D model reconstruction, cultural heritage management, landslide monitoring and solar energy analysis.
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
A Multi-Level Similarity Approach for Single-View Object Grasping: Matching, Planning, and Fine-Tuning
Simultaneous Localization and Mapping Using Active mmWave Sensing in 5G NR
CA-I2P: Channel-Adaptive Registration Network with Global Optimal Selection
Correspondence-Free Multiview Point Cloud Registration via Depth-Guided Joint Optimisation
MT-PCR: A Hybrid Mamba-Transformer with Spatial Serialization for Hierarchical Point Cloud Registration
Robust Filtering -- Novel Statistical Learning and Inference Algorithms with Applications
Rectified Point Flow: Generic Point Cloud Pose Estimation
Cross-modal feature fusion for robust point cloud registration with ambiguous geometry
MonoMobility: Zero-Shot 3D Mobility Analysis from Monocular Videos
FA-KPConv: Introducing Euclidean Symmetries to KPConv via Frame Averaging
Registration of 3D Point Sets Using Exponential-based Similarity Matrix
Matching Distance and Geometric Distribution Aided Learning Multiview Point Cloud Registration
Investigating Vision-Language Model for Point Cloud-based Vehicle Classification
Implementation of a Zed 2i Stereo Camera for High-Frequency Shoreline Change and Coastal Elevation Monitoring
Bridge 2D-3D: Uncertainty-aware Hierarchical Registration Network with Domain Alignment
ColabSfM: Collaborative Structure-from-Motion by Point Cloud Registration
R2LDM: An Efficient 4D Radar Super-Resolution Framework Leveraging Diffusion Model
Unlocking Generalization Power in LiDAR Point Cloud Registration
BUFFER-X: Towards Zero-Shot Point Cloud Registration in Diverse Scenes
HybridReg: Robust 3D Point Cloud Registration with Hybrid Motions
SANDRO: a Robust Solver with a Splitting Strategy for Point Cloud Registration
Occlusion-aware Non-Rigid Point Cloud Registration via Unsupervised Neural Deformation Correntropy
Fully-Geometric Cross-Attention for Point Cloud Registration
Multiview Point Cloud Registration Based on Minimum Potential Energy for Free-Form Blade Measurement
A Direct Semi-Exhaustive Search Method for Robust, Partial-to-Full Point Cloud Registration
PSReg: Prior-guided Sparse Mixture of Experts for Point Cloud Registration
LPRnet: A self-supervised registration network for LiDAR and photogrammetric point clouds
MRG: A Multi-Robot Manufacturing Digital Scene Generation Method Using Multi-Instance Point Cloud Registration
Towards Explaining Uncertainty Estimates in Point Cloud Registration
Resolving the Ambiguity of Complete-to-Partial Point Cloud Registration for Image-Guided Liver Surgery with Patches-to-Partial Matching
Cross-PCR: A Robust Cross-Source Point Cloud Registration Framework
PointVoxelFormer -- Reviving point cloud networks for 3D medical imaging
3D Registration in 30 Years: A Survey
TrafficLoc: Localizing Traffic Surveillance Cameras in 3D Scenes
AutoURDF: Unsupervised Robot Modeling from Point Cloud Frames Using Cluster Registration
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.