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Found 7 papers, 4 papers with code
ModaLink: Unifying Modalities for Efficient Image-to-PointCloud Place Recognition
Experimental results on the KITTI dataset show that our proposed methods achieve state-of-the-art performance while running in real time.
I2P-Rec: Recognizing Images on Large-scale Point Cloud Maps through Bird's Eye View Projections
The experimental results evaluated on the KITTI dataset show that, with only a small set of training data, I2P-Rec achieves recall rates at Top-1\% over 80\% and 90\%, when localizing monocular and stereo images on point cloud maps, respectively.
BEVPlace: Learning LiDAR-based Place Recognition using Bird's Eye View Images
The experiments conducted on large-scale public datasets show that our method 1) achieves state-of-the-art performance in terms of recall rates, 2) is robust to view changes, 3) shows strong generalization ability, and 4) can estimate the positions of query point clouds.
Recurrent Homography Estimation Using Homography-Guided Image Warping and Focus Transformer
We propose the Recurrent homography estimation framework using Homography-guided image Warping and Focus transformer (FocusFormer), named RHWF.
Aggregating Feature Point Cloud for Depth Completion
We extract 2D feature map from images and transform the sparse depth map to point cloud to extract sparse 3D features.
BVMatch: Lidar-based Place Recognition Using Bird's-eye View Images
Recognizing places using Lidar in large-scale environments is challenging due to the sparse nature of point cloud data.
PCNet: A Structure Similarity Enhancement Method for Multispectral and Multimodal Image Registration
PCNet is constructed under the inspiration of the well-known phase congruency.
