Early Visual Processing for Pattern Recognition in Natural Environments

  • Rosana Matuk Herrera
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7441)

Abstract

In this article, the performance of hierarchical architectures for computer vision of biological inspiration is analyzed. In particular, the role of the lateral geniculate nucleus (LGN) for the robustness in the recognition of ring shaped patterns under gradual changes in illumination was analyzed. Changes in illumination are common in everyday environments and thus, it is a crucial factor to be considered for the recognition of objects in everyday environments.

Keywords

Retinal Ganglion Cell Lateral Geniculate Nucleus Primary Visual Cortex Early Visual Processing Everyday Environment 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. 1.
    Miikkulainen, R., Bednar, J., Choe, Y., Sirosh, J.: Computational Maps in the Visual Cortex. Springer (2005)Google Scholar
  2. 2.
    Ringach, D.: Mapping receptive fields in primary visual cortex. The Journal of Physiology (558), 717–728 (2004)Google Scholar
  3. 3.
    Miikkulainen, R.: Self-organizing process based on lateral inhibition and synaptic resource redistribution. In: Kohonen, T., Makisara, K., Simula, O., Kangas, J. (eds.) Proceedings of the 1991 International Conference on Artificial Neural Networks (1991)Google Scholar
  4. 4.
    Miikkulainen, R., Bednar, J., Choe, Y., Sirosh, J.: Self-organization, plasticity, and low-level visual phenomena in a laterally connected map model of the primary visual cortex. Psychology of Learning and Motivation 36, 257–308 (1997)CrossRefGoogle Scholar
  5. 5.
    Sirosh, J.: A self-organizing neural network model of the primary visual cortex. PhD thesis, Department of Computer Sciences, The University of Texas at Austin, Austin, TX (1995)Google Scholar
  6. 6.

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Rosana Matuk Herrera
    • 1
  1. 1.Department of Computer Science, Facultad de Ciencias Exactas y NaturalesUniversidad de Buenos AiresArgentina

Personalised recommendations