most cited2D3D-MatchNet: Learning to Match Keypoints Across 2D Image and 3D Point Cloud

5 citations · 5 across the 1 of their papers we have counts for

collaborators

1 paper

cs.CV2019★ 5 cited

2D3D-MatchNet: Learning to Match Keypoints Across 2D Image and 3D Point Cloud

Mengdan Feng, Sixing Hu, Marcelo Ang +1

Large-scale point cloud generated from 3D sensors is more accurate than its image-based counterpart. However, it is seldom used in visual pose estimation due to the difficulty in o…