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Image to Point Cloud Registration
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Given a query image and a scene of point cloud, get the camera pose according to them.
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Bridge 2D-3D: Uncertainty-aware Hierarchical Registration Network with Domain Alignment
TrafficLoc: Localizing Traffic Surveillance Cameras in 3D Scenes
TFCT-I2P: Three stream fusion network with color aware transformer for image-to-point cloud registration
MaFreeI2P: A Matching-Free Image-to-Point Cloud Registration Paradigm with Active Camera Pose Retrieval
CMR-Agent: Learning a Cross-Modal Agent for Iterative Image-to-Point Cloud Registration
Colmap-PCD: An Open-source Tool for Fine Image-to-point cloud Registration
FreeReg: Image-to-Point Cloud Registration Leveraging Pretrained Diffusion Models and Monocular Depth Estimators
CoFiI2P: Coarse-to-Fine Correspondences for Image-to-Point Cloud Registration
EP2P-Loc: End-to-End 3D Point to 2D Pixel Localization for Large-Scale Visual Localization
GeoTransformer: Fast and Robust Point Cloud Registration with Geometric Transformer
Quantity-Aware Coarse-to-Fine Correspondence for Image-to-Point Cloud Registration
End-to-end 2D-3D Registration between Image and LiDAR Point Cloud for Vehicle Localization
CorrI2P: Deep Image-to-Point Cloud Registration via Dense Correspondence
Learning general and distinctive 3D local deep descriptors for point cloud registration
DeepI2P: Image-to-Point Cloud Registration via Deep Classification
3D Path Planning from a Single 2D Fluoroscopic Image for Robot Assisted Fenestrated Endovascular Aortic Repair
Go-ICP: A Globally Optimal Solution to 3D ICP Point-Set Registration
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