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Energy Correlations and Topographic Organization

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Natural Image Statistics

Part of the book series: Computational Imaging and Vision ((CIVI,volume 39))

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Abstract

The energy detection model in the preceding chapter can easily be modified to incorporate topography, i.e. an arrangement of the features on a two-dimensional grid. This is very interesting because such organization is one of the most prominent phenomena found in the primary visual cortex. In this chapter, we shall investigate such a topographic version of the ICA model. It is, mathematically, a rather simple modification of the independent subspace analysis model.

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© 2009 Springer-Verlag London Limited

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Hyvärinen, A., Hurri, J., Hoyer, P.O. (2009). Energy Correlations and Topographic Organization. In: Natural Image Statistics. Computational Imaging and Vision, vol 39. Springer, London. https://doi.org/10.1007/978-1-84882-491-1_11

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  • DOI: https://doi.org/10.1007/978-1-84882-491-1_11

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-84882-490-4

  • Online ISBN: 978-1-84882-491-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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