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
Link To Document :
بازگشت