Abstract
Let us consider an image with 1024 ×768 pixels and let it be covered by a grid of 69 ×85 Gabor wavelet detectors, such that the pulse rate of N7a and N7b, resp., is obtained at each node of the grid. Let each detector possess 128 sensor pairs. Moreover, 6 complex, ie. 12 real Gabor wavelet detectors are applied. At each grid node, the vector of the pulse response of the 12 output neurons of the respective detectors is recorded. A further grid with 18 ×22 nodes and 12 detector levels just covers a face, which is chosen for reference (Figure 7.1 mid), and is moved over the fine-grain larger net.
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© 2010 Springer-Verlag Berlin Heidelberg
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Ramacher, U., von der Malsburg, C. (2010). Nets for Feature Recognition. In: On the Construction of Artificial Brains. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-00189-5_8
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DOI: https://doi.org/10.1007/978-3-642-00189-5_8
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-00188-8
Online ISBN: 978-3-642-00189-5
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