BROWSE
Detail
Conference Paper
Image to Lidar Registration Using Image Feature Matching
Cited 0 time in 
Share 
Share
- Authors
- Chang Woo Chu, Chang Joon Park
- Issue Date
- 2022-10
- Citation
- International Conference on Information and Communication Technology Convergence (ICTC) 2022, pp.1574-1576
- Publisher
- IEEE
- Language
- English
- Type
- Conference Paper
- Abstract
- Registration of the image respect to the point cloud scanned with lidar is a necessary procedure in various fields such as robotics, computer vision, virtual reality, and etc. Since the descriptors of the 2D image feature and the feature point of the 3D point cloud have different properties, it is difficult to directly match them. In this paper, instead of directly matching 2D feature points and 3D keypoints, we use the matching information between the cubemap image generated from LiDAR scanned point clouds and feature point of input images. We show the results of the proposed algorithm through experiments.
- KSP Keywords
- 2D image, 3D point cloud, Computer Vision(CV), Feature matching, Image feature, Virtual Reality(VR), feature points