CASIA OpenIR  > 模式识别国家重点实验室  > 机器人视觉
Biologically Inspired Deep Stereo Model
Kong, Qingqun1; Zeng, Yi1; Dong, Qiulei2
2015
Conference NameThe 2015 IEEE International Conference on Image Processing (ICIP 2015)
Source PublicationProceedings of the 2015 IEEE International Conference on Image Processing (ICIP 2015)
Conference DateSeptember 27-30, 2015
Conference PlaceQuébec City, Canada
AbstractThe 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.
KeywordStereo Vision
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/12473
Collection模式识别国家重点实验室_机器人视觉
Corresponding AuthorDong, Qiulei
Affiliation1.Institute of Automation, Chinese Academy of Sciences
2.National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Kong, Qingqun,Zeng, Yi,Dong, Qiulei. Biologically Inspired Deep Stereo Model[C],2015.
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