Biologically Inspired Deep Stereo Model
文献类型：会议论文
| 作者 | Kong, Qingqun1 ; Zeng, Yi1; Dong, Qiulei2
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| 出版日期 | 2015 |
| 会议日期 | September 27-30, 2015 |
| 会议地点 | Québec City, Canada |
| 关键词 | Stereo Vision |
| 英文摘要 | 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. |
| 会议录 | Proceedings of the 2015 IEEE International Conference on Image Processing (ICIP 2015)
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| 源URL | [http://ir.ia.ac.cn/handle/173211/12473]  |
| 专题 | 自动化研究所_模式识别国家重点实验室_机器人视觉团队 |
| 通讯作者 | Dong, Qiulei |
| 作者单位 | 1.Institute of Automation, Chinese Academy of Sciences 2.National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences |
| 推荐引用方式 GB/T 7714 | Kong, Qingqun,Zeng, Yi,Dong, Qiulei. Biologically Inspired Deep Stereo Model[C]. 见:. Québec City, Canada. September 27-30, 2015. |
入库方式： OAI收割
来源：自动化研究所
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