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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 ChatwinSpace-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
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Publication status
- Published
Journal
Studies in Computational IntelligenceISSN
1860-949XPublisher
Springer-VerlagExternal DOI
Volume
231Page range
91-120Department affiliated with
- Engineering and Design Publications
Full text available
- No
Peer reviewed?
- Yes
Legacy Posted Date
2012-11-28Usage metrics
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