Extended Biologically Inspired Model for Object Recognition Based on Oriented Gaussian-Hermite Moment
文献类型：期刊论文
| 作者 | Lu Yanfeng(吕彦锋) ; Kang Taekoo; Zhang Huazhen; Choi Inhwan; Lim Myotaeg
|
| 刊名 | Neurocomputing
 |
| 出版日期 | 2014 |
| 期号 | 193页码:155-166 |
| 关键词 | Object Recognition Classification Hmax Oriented Gaussian-hermite Moment Gabor Features |
| 英文摘要 | Hierarchical Model and X (HMAX) presents a biologically inspired model for robust object recognition. The HMAX model, based on the mechanisms of the visual cortex, can be described as a four-layer structure. Although the performance of HMAX in object recognition is robust, it has been shown to be sensitive to rotation, which limits the model's performance. To alleviate this limitation, we propose an Oriented Gaussian-Hermite Moment-based HMAX (OGHM-HMAX). In contrast to HMAX which uses a Gabor filter for local feature representation, OGHM-HMAX employs the Oriented Gaussian-Hermite Moment (OGHM), which is a local representation method that represents features and is robust against distortions. OGHM is an extension of the modified discrete Gaussian-Hermite moment (MDGHM). To show the effectiveness of the proposed method, experimental studies on object categorization are conducted on the CalTech101, CalTech5, Scene13 and GRAZ01 databases. Experimental results demonstrate that the performance of OGHM-HMAX is a significant improvement on that of the conventional HMAX. |
| 语种 | 英语 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/15331]  |
| 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 |
| 推荐引用方式 GB/T 7714 | Lu Yanfeng,Kang Taekoo,Zhang Huazhen,et al. Extended Biologically Inspired Model for Object Recognition Based on Oriented Gaussian-Hermite Moment[J]. Neurocomputing,2014(193):155-166. |
| APA | Lu Yanfeng,Kang Taekoo,Zhang Huazhen,Choi Inhwan,&Lim Myotaeg.(2014).Extended Biologically Inspired Model for Object Recognition Based on Oriented Gaussian-Hermite Moment.Neurocomputing(193),155-166. |
| MLA | Lu Yanfeng,et al."Extended Biologically Inspired Model for Object Recognition Based on Oriented Gaussian-Hermite Moment".Neurocomputing .193(2014):155-166. |
入库方式： OAI收割
来源：自动化研究所
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