Navegar

Colección

Datos Estadísticas

Artículo

Este artículo es de Acceso Abierto y puede ser descargado en su versión final desde nuestro repositorio
Consulte el artículo en la página del editor
Consulte la política de Acceso Abierto del editor

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. © 2012 Springer-Verlag.

Registro:

Documento: Artículo
Título:Early visual processing for pattern recognition in natural environments
Autor:Matuk Herrera, R.
Ciudad:Buenos Aires
Filiación:Department of Computer Science, Facultad de Ciencias Exactas Y Naturales, Universidad de Buenos Aires, Argentina
Palabras clave:Gradual changes; Hierarchical architectures; Lateral geniculate nucleus; Natural environments; Ring-shaped pattern; Visual-processing; Image analysis; Computer vision
Año:2012
Volumen:7441 LNCS
Página de inicio:543
Página de fin:550
DOI: http://dx.doi.org/10.1007/978-3-642-33275-3_67
Título revista:17th Iberoamerican Congress on Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, CIARP 2012
Título revista abreviado:Lect. Notes Comput. Sci.
ISSN:03029743
PDF:https://bibliotecadigital.exactas.uba.ar/download/paper/paper_03029743_v7441LNCS_n_p543_MatukHerrera.pdf
Registro:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_03029743_v7441LNCS_n_p543_MatukHerrera

Referencias:

  • Miikkulainen, R., Bednar, J., Choe, Y., Sirosh, J., (2005) Computational Maps in the Visual Cortex, , Springer
  • Ringach, D., Mapping receptive fields in primary visual cortex (2004) The Journal of Physiology, (558), pp. 717-728
  • Miikkulainen, R., Self-organizing process based on lateral inhibition and synaptic resource redistribution Proceedings of the 1991 International Conference on Artificial Neural Networks (1991), , Kohonen, T., Makisara, K., Simula, O., Kangas, J. (eds.)
  • 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 (1997) Psychology of Learning and Motivation, 36, pp. 257-308
  • Sirosh, J., (1995) 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
  • http://www.topographica.org

Citas:

---------- APA ----------
(2012) . Early visual processing for pattern recognition in natural environments. 17th Iberoamerican Congress on Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, CIARP 2012, 7441 LNCS, 543-550.
http://dx.doi.org/10.1007/978-3-642-33275-3_67
---------- CHICAGO ----------
Matuk Herrera, R. "Early visual processing for pattern recognition in natural environments" . 17th Iberoamerican Congress on Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, CIARP 2012 7441 LNCS (2012) : 543-550.
http://dx.doi.org/10.1007/978-3-642-33275-3_67
---------- MLA ----------
Matuk Herrera, R. "Early visual processing for pattern recognition in natural environments" . 17th Iberoamerican Congress on Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, CIARP 2012, vol. 7441 LNCS, 2012, pp. 543-550.
http://dx.doi.org/10.1007/978-3-642-33275-3_67
---------- VANCOUVER ----------
Matuk Herrera, R. Early visual processing for pattern recognition in natural environments. Lect. Notes Comput. Sci. 2012;7441 LNCS:543-550.
http://dx.doi.org/10.1007/978-3-642-33275-3_67