CASIA OpenIR  > 模式识别国家重点实验室  > 机器人视觉
视差计算的层级模型
孔庆群; 高伟
Source Publication中国科学 信息科学
2013
Volume43Issue:9Pages:1111-1123
Other Abstract
Biological studies reveal that stereopsis is completed by a hierarchical network starting from V1. The local stereopsis gradually converges to a global one with the increasing sizes of receptive elds. Many disparity sensitive neurons exist in the cortex and the Disparity Energy Model (DEM) can describe the disparity tuning responses of these neurons in V1. Inspired by the disparity computation in the visual cortex, a hierarchical model is proposed in this paper. The merit of the proposed model lies in three aspects: (1) Consistent with psychological results, a normalized disparity energy model is proposed to weaken the in uence of stereograms contrast on disparity energy of neurons; (2) based on properties of the disparity columns in the visual cortex, a new disparity pooling scheme is proposed; (3) a two-layer interacting network is constructed to solve the ambiguities of the
neuron responses in V1. The resultant disparities of our model are accurate, especially in area with repetitive or low texture.
Keyword立体感知 双目视差
Indexed ByEI
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/15325
Collection模式识别国家重点实验室_机器人视觉
Corresponding Author孔庆群
Affiliation中国科学院自动化研究所
First Author Affilication中国科学院自动化研究所
Corresponding Author Affilication中国科学院自动化研究所
Recommended Citation
GB/T 7714
孔庆群,高伟. 视差计算的层级模型[J]. 中国科学 信息科学,2013,43(9):1111-1123.
APA 孔庆群,&高伟.(2013).视差计算的层级模型.中国科学 信息科学,43(9),1111-1123.
MLA 孔庆群,et al."视差计算的层级模型".中国科学 信息科学 43.9(2013):1111-1123.
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