Multi-scale perception model for visual illusion on hybrid image

Takashi Fukutomi, Yasuomi Sato, Hiroyuki Miyamoto

研究成果: Conference contribution

2 被引用数 (Scopus)

抄録

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.

本文言語English
ホスト出版物のタイトル6th International Conference on Soft Computing and Intelligent Systems, and 13th International Symposium on Advanced Intelligence Systems, SCIS/ISIS 2012
ページ336-340
ページ数5
DOI
出版ステータスPublished - 2012 12 1
イベント2012 Joint 6th International Conference on Soft Computing and Intelligent Systems, SCIS 2012 and 13th International Symposium on Advanced Intelligence Systems, ISIS 2012 - Kobe, Japan
継続期間: 2012 11 202012 11 24

出版物シリーズ

名前6th 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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