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Logarithmic r-? map for hybrid optical neural network filter for object recognition within cluttered scenes

journal contribution
posted on 2023-06-08, 12:27 authored by Ioannis Kypraios, Rupert YoungRupert Young, Chris ChatwinChris Chatwin
Space-variant imaging sensors can be designed to exhibit in-plane rotation and scale invariance to image data. We combine the complex logarithmic r-? mapping of a space-variant imaging sensor with the hybrid optical neural network filter to achieve, with a single pass over the input data, simultaneous invariance to: out-of-plane rotation; in-plane rotation; scale; projection and shift invariance. The resulting filter we call a complex logarithmic r-? mapping for the hybrid optical neural network filter. We include in the L-HONN filter's design a window based unit for registering the translation invariance of the input objects, initially lost by applying the logarithmic mapping. We test and record the results of the L-HONN filter for single and multiple input objects of the same class within cluttered still images and video frame sequences

History

Publication status

  • Published

Journal

Studies in Computational Intelligence

ISSN

1860-949X

Publisher

Springer-Verlag

Volume

231

Page range

91-120

Department affiliated with

  • Engineering and Design Publications

Full text available

  • No

Peer reviewed?

  • Yes

Legacy Posted Date

2012-11-28

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