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A Model of Border-Ownership Coding in Early Vision

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Artificial Neural Networks — ICANN 2001 (ICANN 2001)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2130))

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Abstract

Zhou et al. had found through physiological experiments that in early visual system there are cells encoding the side of the object to which local contour-elements belong, and they called this way of representation “border-ownership coding” (Zhou et al., 2000). This study shows that a simple neural network model supposing early visual system can encode border-ownership. We confirmed that the cells in our model exhibited responses similar to the cells coding border-ownership found by Zhou et al. by computer simulation

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References

  1. Finkel, L.H., Sajda, P.: Object discrimination based on depth-from-occlusion. Neural Computation 4 (1992) 901–921

    Article  Google Scholar 

  2. Kanizsa, G., Gerbino, W.: Convexity and symmetry in figure-ground organization. Vision and Artifact, M. Henle ed., New York, Springer (1976) 25–32

    Google Scholar 

  3. Kikuchi, M., Anada, K., Fukushima, K.: Neural network model completing occluded contour. ICONIP’98 (Internatinal Conference on Neural Information Processing) (1998) 315–318

    Google Scholar 

  4. Kikuchi, M., Fukushima, K.: Neural network model of the visual system: binding form and motion. Neural Networks 9 (1996) 1417–1427

    Article  MATH  Google Scholar 

  5. Nakayama, K., He, Z.J., Shimojyo, S.: Visual surface representation: a critical link between low-level and higher level vision. Visual Cognition, S.M. Kosslyn, D.N. Osherson eds. MIT Press (1995) 1–70

    Google Scholar 

  6. Rubin, E.: Visuall wahrgenommene figuren. Copenhagen (1921)

    Google Scholar 

  7. Sajda, P., Finkel, L.H.: Intermediate-level visual representations and the construction of surface perception. Journal of Cognitive Neuroscience 7 (1995) 267–291

    Article  Google Scholar 

  8. Shimaya, A.: Perception of complex line drawings. Journal of Experimental Psychology: Human Perception and Performance 23 (1997) 25–50

    Article  Google Scholar 

  9. Ullman, S.: High-level vision. MIT Press (1995)

    Google Scholar 

  10. Yin, C., Kellman, P.J., Shipley, T.F.: Surface integration influences depth discrimination. Vision Research 40 (2000) 1969–1978

    Article  Google Scholar 

  11. Zhou, H., Friedman, H.S., von der Heydt, R.: Coding of border ownership in monkey visual cortex. The Journal of Neuroscience 20 (2000) 6594–6611

    Google Scholar 

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Authors and Affiliations

  1. Institute of Information Sciences and Electronics, University of Tsukuba, Tennoudai 1-1-1, Tsukuba, Ibaraki, 305-8573, Japan

    Masayuki Kikuchi

  2. Department of Systems and Human Science, Graduate School of Engineering Science, Osaka University, Machikaneyama 1-3, Toyonaka, Osaka, 560-8531, Japan

    Youhei Akashi

Authors
  1. Masayuki Kikuchi
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  2. Youhei Akashi
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Editor information

Editors and Affiliations

  1. Dept. of Mecidal Cybernetics and Artificial Intelligence, University of Vienna, Freyung 6/2, 1010, Vienna, Austria

    Georg Dorffner

  2. Institute for Computer Aided Automation Pattern Recognition and Image Processing Group, Technical University of Vienna, Favoritenstr. 9/1832, 1040, Vienna, Austria

    Horst Bischof

  3. Institut für Statistik, Wirtschaftsuniversität Wien, Augasse 2-6, 1090, Wien, Austria

    Kurt Hornik

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© 2001 Springer-Verlag Berlin Heidelberg

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Kikuchi, M., Akashi, Y. (2001). A Model of Border-Ownership Coding in Early Vision. In: Dorffner, G., Bischof, H., Hornik, K. (eds) Artificial Neural Networks — ICANN 2001. ICANN 2001. Lecture Notes in Computer Science, vol 2130. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44668-0_148

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  • DOI: https://doi.org/10.1007/3-540-44668-0_148

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42486-4

  • Online ISBN: 978-3-540-44668-2

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