Extracting Arbitrary Geometric Primitives Represented by Fourier Descriptors


Aguado, A.S., Montiel, M.E. and Nixon, M.S. (1996) Extracting Arbitrary Geometric Primitives Represented by Fourier Descriptors. Proc. International Conference on Pattern Recognition ICPR '96 IEEE, 547--551.

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Description/Abstract

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.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Additional Information: Address: Vienna
Divisions: Faculty of Physical Sciences and Engineering > Electronics and Computer Science > Comms, Signal Processing & Control
ePrint ID: 250060
Date Deposited: 04 May 1999
Last Modified: 27 Mar 2014 19:50
Further Information:Google Scholar
URI: http://eprints.soton.ac.uk/id/eprint/250060

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