Estimation of camera matrix using lidar and aerial images

Prakash Duraisamy; Yassine Belkhouche; Stephen Jackson; Kamesh Namuduri; Bill Buckles

doi:10.1117/12.894259

13 September 2011 Estimation of camera matrix using lidar and aerial images

Prakash Duraisamy, Yassine Belkhouche, Stephen Jackson, Kamesh Namuduri, Bill Buckles

Proceedings Volume 8135, Applications of Digital Image Processing XXXIV; 813509 (2011) https://doi.org/10.1117/12.894259
Event: SPIE Optical Engineering + Applications, 2011, San Diego, California, United States

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.

Citation Download Citation

Prakash Duraisamy, Yassine Belkhouche, Stephen Jackson, Kamesh Namuduri, and Bill Buckles "Estimation of camera matrix using lidar and aerial images", Proc. SPIE 8135, Applications of Digital Image Processing XXXIV, 813509 (13 September 2011); https://doi.org/10.1117/12.894259

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