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- W1523721804 abstract "Recently, it was shown how some metaphors, adopted from the infant vision system, were useful for face recognition. In this paper we adopt those biological hypotheses and apply them to the 3D object recognition problem. As the infant vision responds to low frequencies of the signal, a low-filter is used to remove high frequency components from the image. Then we detect subtle features in the image by means of a random feature selection detector. At last, a dynamic associative memory (DAM) is fed with this information for training and recognition. To test the accuracy of the proposal we use the Columbia Object Image Library (COIL 100)." @default.
- W1523721804 created "2016-06-24" @default.
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- W1523721804 date "2009-01-01" @default.
- W1523721804 modified "2023-09-23" @default.
- W1523721804 title "The Role of the Infant Vision System in 3D Object Recognition" @default.
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- W1523721804 doi "https://doi.org/10.1007/978-3-642-03040-6_98" @default.
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