B-HMAX: A fast Binary Biologically Inspired Model for Object Recognition
文献类型：期刊论文
| 作者 | Zhang Huazhen1; Lu Yanfeng2 ; Kang Taekoo3; Lim Myotaeg4
|
| 刊名 | Neurocomputing
 |
| 出版日期 | 2016 |
| 期号 | 218页码:242-250 |
| 关键词 | Object Recognition Classification Hmax Binary Descriptor |
| 英文摘要 | 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. |
| 语种 | 英语 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/15333]  |
| 专题 | 自动化研究所_复杂系统管理与控制国家重点实验室_机器人应用与理论组 |
| 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. |
入库方式： OAI收割
来源：自动化研究所
浏览0
下载0
收藏0
其他版本
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。