Aspect angle estimation in FLIR images: a model-based vision approach

Prabir Bhattacharya

doi:10.1117/12.186571

21 September 1994 Aspect angle estimation in FLIR images: a model-based vision approach

Prabir Bhattacharya

Proceedings Volume 2298, Applications of Digital Image Processing XVII; (1994) https://doi.org/10.1117/12.186571
Event: SPIE's 1994 International Symposium on Optics, Imaging, and Instrumentation, 1994, San Diego, CA, United States

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.

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Prabir Bhattacharya "Aspect angle estimation in FLIR images: a model-based vision approach", Proc. SPIE 2298, Applications of Digital Image Processing XVII, (21 September 1994); https://doi.org/10.1117/12.186571

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KEYWORDS

3D modeling

Databases

Visual process modeling

Image segmentation

Automatic target recognition

Model-based design

Target recognition

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