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Proceedings Paper

Estimation of camera matrix using lidar and aerial images
Author(s): Prakash Duraisamy; Yassine Belkhouche; Stephen Jackson; Kamesh Namuduri; Bill Buckles
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Paper 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.

Paper Details

Date Published: 13 September 2011
PDF: 5 pages
Proc. SPIE 8135, Applications of Digital Image Processing XXXIV, 813509 (13 September 2011); doi: 10.1117/12.894259
Show Author Affiliations
Prakash Duraisamy, Univ. of North Texas (United States)
Yassine Belkhouche, Univ. of North Texas (United States)
Stephen Jackson, Univ. of North Texas (United States)
Kamesh Namuduri, Univ. of North Texas (United States)
Bill Buckles, Univ. of North Texas (United States)

Published in SPIE Proceedings Vol. 8135:
Applications of Digital Image Processing XXXIV
Andrew G. Tescher, Editor(s)

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