A fast Binary Biologically Inspired Model for Object Recognition
Kang Taekoo; Zhang Huazhen; Lu Yanfeng; Pae Dongsung; Lim Myotaeg
2015
会议名称30th Korean Conference of Institute of Control, Robotics and Systems
会议日期2015.4.22-4.25
会议地点Seoul, South Korea
摘要In this paper, we propose a fast binary based HMAX model (B-HMAX). In our method, we detect corner based interest points after the second layer Cl to extract fewer numbers of features with better distinctiveness, and use binary string to describe the image patches extracted around detected corners, then use hamming distance for matching between two patches in the third layer S2, which is much faster than Euclidean method. Experimental results demonstrate that our proposed B-HMAX model can significantly reduce the total process time, while keeping the accuracy performance as the same with or better than standard HMAX.
关键词Hmax Biologically Inspired Model Binary Descriptor Object Recognition
语种英语
文献类型会议论文
条目标识符http://ir.ia.ac.cn/handle/173211/15336
专题复杂系统管理与控制国家重点实验室_机器人理论与应用
推荐引用方式
GB/T 7714
Kang Taekoo,Zhang Huazhen,Lu Yanfeng,et al. A fast Binary Biologically Inspired Model for Object Recognition[C],2015.
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