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Proceedings Paper

Aspect angle estimation in FLIR images: a model-based vision approach
Author(s): Prabir Bhattacharya
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Paper Abstract

We develop a model-based vision approach to estimate the `aspect angle' of a target in a forward-looking infrared (FLIR) image. A set of 3-D models of military vehicles is created using a CAD/CAM package. From this set, a database of 2-D images is created by rotating the models and then projecting onto a given plane. A matching algorithm is then applied to match a signature of the given target with the images in the database. We use an algebraic approach to represent images which has the advantage that a big speedup is possible if the fast Fourier transform (FFT) is applied to compute the polynomial multiplications involved in the algebraic approach.

Paper Details

Date Published: 21 September 1994
PDF: 8 pages
Proc. SPIE 2298, Applications of Digital Image Processing XVII, (21 September 1994); doi: 10.1117/12.186571
Show Author Affiliations
Prabir Bhattacharya, Univ. of Nebraska/Lincoln (United States)

Published in SPIE Proceedings Vol. 2298:
Applications of Digital Image Processing XVII
Andrew G. Tescher, Editor(s)

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