Multi-scale perception model for visual illusion on hybrid image

Takashi Fukutomi, Yasuomi Sato, Hiroyuki Miyamoto

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

In this paper, we propose a neural model of multi-scale perception with so-called hybrid images that two different interpretations of a picture are perceived by changing the viewing distance. In this model, 2D-Gabor-based wavelets are prepared as features observed in visual cortex or retina, and for feature similarity computations by finding multi-scale correspondences between the input hybrid image and its model picture. We show that the feature similarities can also vary by changing the input image resolution (corresponds to the viewing distance). In discussion, we indicate that our model proposed here is one of the neural models that potentially support human visual recognition process.

Original languageEnglish
Title of host publication6th International Conference on Soft Computing and Intelligent Systems, and 13th International Symposium on Advanced Intelligence Systems, SCIS/ISIS 2012
Pages336-340
Number of pages5
DOIs
Publication statusPublished - 2012 Dec 1
Event2012 Joint 6th International Conference on Soft Computing and Intelligent Systems, SCIS 2012 and 13th International Symposium on Advanced Intelligence Systems, ISIS 2012 - Kobe, Japan
Duration: 2012 Nov 202012 Nov 24

Publication series

Name6th International Conference on Soft Computing and Intelligent Systems, and 13th International Symposium on Advanced Intelligence Systems, SCIS/ISIS 2012

Other

Other2012 Joint 6th International Conference on Soft Computing and Intelligent Systems, SCIS 2012 and 13th International Symposium on Advanced Intelligence Systems, ISIS 2012
CountryJapan
CityKobe
Period12/11/2012/11/24

ASJC Scopus subject areas

  • Artificial Intelligence
  • Software

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