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Proceedings Paper

FFT-descriptors for shape recognition of military vehicles
Author(s): Andreas Wimmer; Georg S. Ruppert; Oliver Sidla; Harald Konrad; Floris M. Gretzmacher
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Paper Abstract

An accurate method to detect and classify military vehicles based on the recognition of shapes is presented in this work. FFT-Descriptors are used to generate a scale, translation and rotation invariant characterization of the shape of such an object. By interpreting the boundary pixels of an object as complex numbers it is possible to calculate an FFT-Descriptor based on the spectrum of a Fast Fourier Transform of these numbers. It is shown that by using this characterization it is possible to match such representations with models in a database of known vehicles and thereby gaining a highly robust and fault tolerant object classification. By selecting a specific number of components of a FFT-Descriptor the classification process can by tailored to different needs of recognition accuracy, allowed shape deviation and classification speed.

Paper Details

Date Published: 24 July 2000
PDF: 7 pages
Proc. SPIE 4029, Targets and Backgrounds VI: Characterization, Visualization, and the Detection Process, (24 July 2000); doi: 10.1117/12.392514
Show Author Affiliations
Andreas Wimmer, Joanneum Research (Austria)
Georg S. Ruppert, Joanneum Research (Austria)
Oliver Sidla, Joanneum Research (Austria)
Harald Konrad, Joanneum Research (Austria)
Floris M. Gretzmacher, Austrian Ministry of Defense (Austria)


Published in SPIE Proceedings Vol. 4029:
Targets and Backgrounds VI: Characterization, Visualization, and the Detection Process
Wendell R. Watkins; Dieter Clement; William R. Reynolds, Editor(s)

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