論文

査読有り
2015年2月

Neural construction of 3D medial axis from the binocular fusion of 2D MAs

NEUROCOMPUTING
  • Wei Qiu
  • ,
  • Yasuhiro Hatori
  • ,
  • Ko Sakai

149
開始ページ
546
終了ページ
558
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1016/j.neucom.2014.08.019
出版者・発行元
ELSEVIER SCIENCE BV

The perceptual constancy of shape, including view invariance, is an amazing property of the visual system. Cortical representation by the medial axis (MA) is an attractive candidate for maintaining the constancy of a wide range of arbitrary shapes. Recent physiological studies have reported that neurons in the primary visual cortex (V1) show a response to two-dimensional (2D) MAs, and those in the inferior temporal cortex (IT) are selective to three-dimensional (3D) MAs. However, little is known about the neural mechanisms underlying the transformation of 2D to 3D MAs. As a first step toward investigating the cortical mechanism, we have proposed as a hypothesis that a pair of monocular 2D MAs is fused to generate a 3D MA. We examined the computational plausibility of the hypothesis; specifically, whether an energy-based fusion model is capable of generating 3D MAs. We generated blob-like, physiologically plausible 2D MM, and used a standard energy model to detect the disparity between a pair of 2D MM. The model successfully generated 3D MM for a variety of objects that included typical shape characteristics. A reconstruction test showed that the computed 3D MAs captured the essential structure of the objects with reasonable accuracy and view invariance. These results indicate that the fusion of monocular blob-like 2D MAs is capable of generating a reasonable 3D MA within the framework of the energy model. (C) 2014 Elsevier B.V. All rights reserved.

リンク情報
DOI
https://doi.org/10.1016/j.neucom.2014.08.019
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000346550300009&DestApp=WOS_CPL
ID情報
  • DOI : 10.1016/j.neucom.2014.08.019
  • ISSN : 0925-2312
  • eISSN : 1872-8286
  • Web of Science ID : WOS:000346550300009

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