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.
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Keywords
- Retinal Ganglion Cell
- Lateral Geniculate Nucleus
- Primary Visual Cortex
- Early Visual Processing
- Everyday Environment
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References
Miikkulainen, R., Bednar, J., Choe, Y., Sirosh, J.: Computational Maps in the Visual Cortex. Springer (2005)
Ringach, D.: Mapping receptive fields in primary visual cortex. The Journal of Physiology (558), 717–728 (2004)
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)
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)
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)
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© 2012 Springer-Verlag Berlin Heidelberg
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Matuk Herrera, R. (2012). Early Visual Processing for Pattern Recognition in Natural Environments. In: Alvarez, L., Mejail, M., Gomez, L., Jacobo, J. (eds) Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. CIARP 2012. Lecture Notes in Computer Science, vol 7441. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33275-3_67
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DOI: https://doi.org/10.1007/978-3-642-33275-3_67
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