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A multiacuity connectionist model for local speed estimation

  • Neural Networks for Perception
  • Conference paper
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From Natural to Artificial Neural Computation (IWANN 1995)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 930))

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Abstract

Multiresolution foveal imaging offers a field-of-view × acuity × frame rate product much greater than that of uniform acuity imaging, and can reduce the computational complexity of vision in dynamic scenarios with localized relevance. The latter requires space variant retinotopic processing with results that are consistent between different resolutions. A physiologically inspired connectionist model is presented which yields local speed estimates consistent between coarse resolution peripheral vision and fine resolution central vision. A non-uniform acuity profile across the field-of-view is compensated by an inverse profile of weights in the model. This model demonstrates the efficiency of multiresolution vision when processing and retinotopology are properly matched.

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References

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José Mira Francisco Sandoval

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© 1995 Springer-Verlag Berlin Heidelberg

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Bandera, C., Conde, I.M., Jerez, J., González, M., Vico, F.J., Ortega, F. (1995). A multiacuity connectionist model for local speed estimation. In: Mira, J., Sandoval, F. (eds) From Natural to Artificial Neural Computation. IWANN 1995. Lecture Notes in Computer Science, vol 930. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-59497-3_276

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  • DOI: https://doi.org/10.1007/3-540-59497-3_276

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-59497-0

  • Online ISBN: 978-3-540-49288-7

  • eBook Packages: Springer Book Archive

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