Paper
21 September 1994 Aspect angle estimation in FLIR images: a model-based vision approach
Prabir Bhattacharya
Author Affiliations +
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.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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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