tangpaul / 2D-3D-Matching

2D-3D Matching

2D-3D-Matching

Case 1 : Papers for 2D-3D correspondences....

Year	Paper	link	Code	Notes
[ECCV2020]	Learning 2D–3D Correspondences To Solve The Blind Perspective-n-Point Problem	PDF1 PDF2	Github	Youtube Output is the prioritized matches & estimated camera pose
[Arxiv, April2019]	2D3D-MatchNet: Learning to Match Keypoints Across 2D Image and 3D Point Cloud	PDF	github	Output is the prioritized matches
[CVPR2018]	Learning Less is More – 6D Camera Localization via 3D Surface Regression	PDF	github	Output is the estimated camera pose
[ICCV2019]	Expert Sample Consensus Applied to Camera Re-Localization (ESAC)	PDF	github	Output is the estimated camera pose. It extended LessisMore(CVPR2018) for large scale dataset.
[CVPR2020]	KFNet: Learning Temporal Camera Relocalization using Kalman Filtering	PDF	github	Output is the estimated camera pose. SCoordNet is the 1-short retrieval version of KFNet.

Note: SCoordNet outperforms the state-of-the-art structure-based methods DSAC++ [6] and ESAC [7], yet with fewer parameters (24M vs. 210M vs. 28M, respectively).

Case 2 : Papers for Localization where 2D images is given to match 3D SfM....

Year	Paper	link	Code	Notes
ICCV 2019	Cascaded Parallel Filtering for Memory-Efficient Image-Based Localization	PDF	github	SIFT is used in SfM database
CVPR 2019	HF-Net: Robust Hierarchical Localization at Large Scale	PDF	github	SIFT/SuperPoints is used in SfM database

Case 3 : 3D point features....

Year	Paper	link	Code	Extra.
ECCV 2020	DH3D: Deep Hierarchical 3D Descriptors for Robust Large-Scale 6DoF Relocalization	PDF	github	https://vision.in.tum.de/research/vslam/dh3d
ECCV2020	3D-CVF: Generating Joint Camera and LiDAR Features Using Cross-View Spatial Feature Fusion for 3D Object Detection	PDF