24 July 2000 FFT-descriptors for shape recognition of military vehicles
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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.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Andreas Wimmer, Andreas Wimmer, Georg S. Ruppert, Georg S. Ruppert, Oliver Sidla, Oliver Sidla, Harald Konrad, Harald Konrad, Floris M. Gretzmacher, Floris M. Gretzmacher, "FFT-descriptors for shape recognition of military vehicles", Proc. SPIE 4029, Targets and Backgrounds VI: Characterization, Visualization, and the Detection Process, (24 July 2000); doi: 10.1117/12.392514; https://doi.org/10.1117/12.392514


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