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 and Applied Science > Electronics and Computer Science > Comms, Signal Processing & Control |
| Item ID: | 250060 |
| Date Deposited: | 04 May 1999 |
| Last Modified: | 02 Mar 2012 12:38 |
| Contributors: | Aguado, A.S. (Author) Montiel, M.E. (Author) Nixon, M.S. (Author) |
| Date: | 1996 |
| Additional Information: | Address: Vienna |
| Status: | Published |
| Publisher: | IEEE |
| Further Information: | Google Scholar |
| URI: | http://eprints.soton.ac.uk/id/eprint/250060 |
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