A fast 2D/3D algorithm for georegistration and targeting

Scott A. Merritt

doi:10.1117/12.776941

14 April 2008 A fast 2D/3D algorithm for georegistration and targeting

Scott A. Merritt

Proceedings Volume 6967, Automatic Target Recognition XVIII; 69670T (2008) https://doi.org/10.1117/12.776941
Event: SPIE Defense and Security Symposium, 2008, Orlando, Florida, United States

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.

Citation Download Citation

Scott A. Merritt "A fast 2D/3D algorithm for georegistration and targeting", Proc. SPIE 6967, Automatic Target Recognition XVIII, 69670T (14 April 2008); https://doi.org/10.1117/12.776941

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