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- W158164744 abstract "Space-variant imaging sensors can be designed to exhibit in-plane rotation and scale invariance to image data. We combine the complex logarithmic r-θ 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-θ 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." @default.
- W158164744 created "2016-06-24" @default.
- W158164744 creator A5017721629 @default.
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- W158164744 date "2009-01-01" @default.
- W158164744 modified "2023-09-28" @default.
- W158164744 title "Logarithmic r-θ Map for Hybrid Optical Neural Network Filter for Object Recognition within Cluttered Scenes" @default.
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- W158164744 doi "https://doi.org/10.1007/978-3-642-02900-4_5" @default.
- W158164744 hasPublicationYear "2009" @default.
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