Aguado, A.S., Montiel, M.E. and Nixon, M.S.
Extracting Arbitrary Geometric Primitives Represented by Fourier Descriptors.
Proc. International Conference on Pattern Recognition ICPR '96
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In this paper we present a novel formulation for the extraction of arbitrary shapes in model-based recognition. The formulation is based on the mapping defined in the Hough transform. We develop this mapping for the analytic representation of a shape characterised by a Fourier parameterisation. Edge direction information is included in the formulation as a way of reducing the computational requirements in the extraction process. The proposed approach extends the analytic formulation of the Hough transform to arbitrary shapes which leads to an accurate and efficient evidence accumulation process. Experimental results show that the new approach can handle noise and occlusion in synthetic and real images.
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