13 September 2011 Estimation of camera matrix using lidar and aerial images
Author Affiliations +
Abstract
This paper focuses on the 2D-3D camera pose estimation using one LiDAR view and one calibrated camera view. The pose estimation employs an intelligent search over the extrinsic camera parameters and uses an error metric based on line-segment matching. The goal of this search process is to estimate the pose parameters without any apriori knowledge and in less processing time. We demonstrated the validity of the proposed approach by experimenting on two sets of perspective views using lines as feature.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Prakash Duraisamy, Prakash Duraisamy, Yassine Belkhouche, Yassine Belkhouche, Stephen Jackson, Stephen Jackson, Kamesh Namuduri, Kamesh Namuduri, Bill Buckles, Bill Buckles, "Estimation of camera matrix using lidar and aerial images", Proc. SPIE 8135, Applications of Digital Image Processing XXXIV, 813509 (13 September 2011); doi: 10.1117/12.894259; https://doi.org/10.1117/12.894259
PROCEEDINGS
5 PAGES


SHARE
RELATED CONTENT

ONR 30 autonomous ground system program overview
Proceedings of SPIE (May 04 2017)
Low-cost 3D rangefinder system
Proceedings of SPIE (June 17 1998)
2D-3D registration using intensity gradients
Proceedings of SPIE (September 12 2011)

Back to Top