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학술대회 Image to Lidar Registration Using Image Feature Matching
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저자
추창우, 박창준
발행일
202210
출처
International Conference on Information and Communication Technology Convergence (ICTC) 2022, pp.1574-1576
DOI
https://dx.doi.org/10.1109/ICTC55196.2022.9952636
협약과제
22IH2200, 실감 콘텐츠 광역 공간 복제 및 실시간 고품질 재구성 기술 개발, 박창준
초록
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 제안 키워드
2D image, 3D point cloud, Computer Vision(CV), Feature matching, Image feature, Virtual Reality(VR), feature points