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- W2405547456 abstract "The ability of visual cortex to accomplish object recognition tasks accurately and effortlessly makes it an attractive goal of computer vision to emulate the mechanism of the cortex. The neural process of object recognition in the brain follows a hierarchical scheme. In this paper, we present a novel model inspired by the visual pathway in primate brains. This multi-layer neural network model imitates the hierarchical convergent processing mechanism of the visual pathway. We show experimentally that local image features generated by this model exhibit robust discrimination and even better generalization ability compared with some existing image descriptors. We also demonstrate the application of this model to object recognition tasks. The result provides strong support for the potential of this model." @default.
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- W2405547456 date "2014-08-18" @default.
- W2405547456 modified "2023-09-28" @default.
- W2405547456 title "Local image descriptor inspired by visual cortex" @default.
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- W2405547456 doi "https://doi.org/10.3233/978-1-61499-419-0-1125" @default.
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