A fast Binary Biologically Inspired Model for Object Recognition
Kang Taekoo; Zhang Huazhen; Lu Yanfeng; Pae Dongsung; Lim Myotaeg
2015
Conference Name30th Korean Conference of Institute of Control, Robotics and Systems
Conference Date2015.4.22-4.25
Conference PlaceSeoul, South Korea
AbstractIn 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.
KeywordHmax Biologically Inspired Model Binary Descriptor Object Recognition
Language英语
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/15336
Collection复杂系统管理与控制国家重点实验室_机器人理论与应用
Recommended Citation
GB/T 7714
Kang Taekoo,Zhang Huazhen,Lu Yanfeng,et al. A fast Binary Biologically Inspired Model for Object Recognition[C],2015.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Kang Taekoo]'s Articles
[Zhang Huazhen]'s Articles
[Lu Yanfeng]'s Articles
Baidu academic
Similar articles in Baidu academic
[Kang Taekoo]'s Articles
[Zhang Huazhen]'s Articles
[Lu Yanfeng]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Kang Taekoo]'s Articles
[Zhang Huazhen]'s Articles
[Lu Yanfeng]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.