• DocumentCode
    3707904
  • Title

    Biologically inspired deep stereo model

  • Author

    Qingqun Kong;Yi Zeng;Qiulei Dong

  • Author_Institution
    Institute of Automation, Chinese Academy of Sciences
  • fYear
    2015
  • Firstpage
    3700
  • Lastpage
    3704
  • Abstract
    The human stereo vision process begins in primary visual cortex where complex cells are deemed as disparity detectors. Besides correct matches, complex cells could also respond to false matches which cause ambiguous depth perception. This reveals that there exist some inherent mechanisms in the higher visual processing areas for eliminating false matches and thus recovering true disparity. Due to the least understanding of this hierarchical process, this paper aims to investigate this problem by proposing a deep stereo vision model. There are three characteristics of the proposed model: 1) the obtained disparity maps become more accurate from lower layers to higher layers; 2) it tends to promote neural responses of correct matches while inhibiting those of incorrect matches; 3) it generalizes well to unseen data.
  • Keywords
    "Brain modeling","Computational modeling","Stereo vision","Visualization","Biological system modeling","Training data","Mathematical model"
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2015 IEEE International Conference on
  • Type

    conf

  • DOI
    10.1109/ICIP.2015.7351495
  • Filename
    7351495