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Proceedings chapter
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English

Figure-ground separation: evidence for asynchronous processing in visual perception?

Contributors

Burgi, Pierre-Yves

Presented at

Bienne (Switzerland), October 10-11, 1991

Published in

Proceedings: Third Annual Meeting of the Swiss Group lor Artificial lntelligence and Cognitive Science SGAlCO'91, p. 36-48

Publication date

1992

Abstract

The performance of the human visual system in extracting noisy figures from a noisy background is astonishingly good. Even in situations of very poor contrast, boundaries emerge clearly. Conversely, typical edge detectors fail to give good results for such images. In an attempt to explain the discrepancies in these performances we have developed a neural network model relying on two assumptions, both of which are based on neurophysiological findings. Firstly, the processing of visual information is considered to be asynchronous: stimuli are delayed accordingly to their intensity. Secondly, emergent boundaries have the property of producing coherent responses corresponding to the (near)-simultaneous responses of cells in the cortical orientation columns. Results show that such neural network can indeed benefit from the asynchrony when treating images with ratio signal-to-noise particularly low.

Keywords

  • asnychrony
  • computer vision
  • figure-ground detection

UNIGE affiliation entities

Citation (ISO format)

BURGI, Pierre-Yves. Figure-ground separation: evidence for asynchronous processing in visual perception? In: Proceedings: Third Annual Meeting of the Swiss Group lor Artificial lntelligence and Cognitive Science SGAlCO′91. Bienne (Switzerland). [s.l.] : [s.n.], 1992. p. 36–48.

Main files (1)

Proceedings chapter (Published version)
CC BY-4.0

Identifiers

  • PID : unige:155372
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90downloads

Technical informations

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13/10/2021 11:44:00

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13/10/2021 11:44:00

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