Fully invariant complex Logarithmic r-theta map for Hybrid Optical Neural Network filter for object recognition within cluttered scenes

Kypraios, I, Young, R C D, Birch, P M and Chatwin, C R (2008) Fully invariant complex Logarithmic r-theta map for Hybrid Optical Neural Network filter for object recognition within cluttered scenes. In: 50th International Symposium ELMAR SEP 10-12, 2008, Zadar, CROATIA.

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Abstract

We combine the complex logarithmic r-theta mapping of a space-variant imaging sensor with the hybrid optical neural network filter for achieving an overall out-of-plane rotation, in-plane rotation, scale and projection invariance and is resistance to clutter. The resulted filter is called the complex logarithmic r-theta mapping for the hybrid optical neural network (L-HONN) filter. For restoring the shift invariance of the input images of the objects, lost by applying to the images the logarithmic mapping, we include in the filter's design a window-based unit. We assess the performance and record the results of the L-HONN filter with cluttered object images.

Item Type: Conference or Workshop Item (Paper)
Schools and Departments: School of Engineering and Informatics > Engineering and Design
Depositing User: Rupert Young
Date Deposited: 06 Feb 2012 20:23
Last Modified: 12 Apr 2012 11:58
URI: http://sro.sussex.ac.uk/id/eprint/25715
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