B-HMAX: A fast Binary Biologically Inspired Model for Object Recognition
Zhang Huazhen1; Lu Yanfeng2; Kang Taekoo3; Lim Myotaeg4
2016
发表期刊Neurocomputing
期号218页码:242-250
摘要The biologically inspired model, Hierarchical Model and X (HMAX), has excellent performance in object categorization. It consists of four layers of computational units based on the mechanisms of the visual cortex. However, the random patch selection method in HMAX often leads to mismatch due to the extraction of redundant information, and the computational cost of recognition is expensive because of the Euclidean distance calculations for similarity in the third layer, S2. To solve these limitations, we propose a fast binary-based HMAX model (B-HMAX). In the proposed method, we detect corner-based interest points after the second layer, C1, to extract few features with better distinctiveness, use binary strings to describe the image patches extracted around detected corners, then use the Hamming distance for matching between two patches in the third layer, S2, which is much faster than Euclidean distance calculations. The experimental results demonstrate that our proposed B-HMAX model can significantly reduce the total process time by almost 80% for an image, while keeping the accuracy performance competitive with the standard HMAX.
关键词Object Recognition Classification Hmax Binary Descriptor
收录类别SCI
语种英语
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/15333
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
作者单位1.School of Mechatronics, Korea University
2.Institute of Automation, Chinese Academy of Sciences
3.Department of Information and Telecommunication Engineering, Sangmyung University
4.School of Electrical Engineering, Korea University
推荐引用方式
GB/T 7714
Zhang Huazhen,Lu Yanfeng,Kang Taekoo,et al. B-HMAX: A fast Binary Biologically Inspired Model for Object Recognition[J]. Neurocomputing,2016(218):242-250.
APA Zhang Huazhen,Lu Yanfeng,Kang Taekoo,&Lim Myotaeg.(2016).B-HMAX: A fast Binary Biologically Inspired Model for Object Recognition.Neurocomputing(218),242-250.
MLA Zhang Huazhen,et al."B-HMAX: A fast Binary Biologically Inspired Model for Object Recognition".Neurocomputing .218(2016):242-250.
条目包含的文件 下载所有文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
B-HMAX A fast binary(2633KB)期刊论文作者接受稿开放获取CC BY-NC-SA浏览 下载
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Zhang Huazhen]的文章
[Lu Yanfeng]的文章
[Kang Taekoo]的文章
百度学术
百度学术中相似的文章
[Zhang Huazhen]的文章
[Lu Yanfeng]的文章
[Kang Taekoo]的文章
必应学术
必应学术中相似的文章
[Zhang Huazhen]的文章
[Lu Yanfeng]的文章
[Kang Taekoo]的文章
相关权益政策
暂无数据
收藏/分享
文件名: B-HMAX A fast binary biologically inspired model for object recognition (2).pdf
格式: Adobe PDF
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。