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Proceedings Paper

A fast 2D/3D algorithm for georegistration and targeting
Author(s): Scott A. Merritt
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Paper Abstract

Targeting and precision-guided munitions rely on precise image and video registration. Current approaches for geo-registration typically utilize registration algorithms that operate in two-dimensional (2D) transform spaces, in the absence of an underlying three-dimensional (3D) surface model. However, because of their two-dimensional motion assumptions, these algorithms place limitations on the types of imagery and collection geometries that can be used. Incorporating a 3D reference surface enables the use of 2D-to-3D registration algorithms and removes many such limitations. The author has previously demonstrated a fast 2D-to-3D registration algorithm for registration of live video to surface data extracted from medical images. The algorithm uses an illumination-tolerant gradient-descent based optimization to register a 2D image to 3D surface data in order to globally locate the camera's origin with respect to the 3D model. The rapid convergence of the algorithm is achieved through a reformulation of the optimization problem that allows many data elements to be re-used through multiple iterations. This paper details the extension of this algorithm to the more difficult problem of registering aerial imagery to terrain data.

Paper Details

Date Published: 14 April 2008
PDF: 10 pages
Proc. SPIE 6967, Automatic Target Recognition XVIII, 69670T (14 April 2008); doi: 10.1117/12.776941
Show Author Affiliations
Scott A. Merritt, Naval Air Warfare Ctr. (United States)


Published in SPIE Proceedings Vol. 6967:
Automatic Target Recognition XVIII
Firooz A. Sadjadi; Abhijit Mahalanobis, Editor(s)

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