Knowledge Commons of Institute of Automation,CAS
Extended Biologically Inspired Model for Object Recognition Based on Oriented Gaussian-Hermite Moment | |
Lu Yanfeng(吕彦锋)![]() | |
发表期刊 | Neurocomputing
![]() |
2014 | |
期号 | 193页码:155-166 |
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. |
关键词 | Object Recognition Classification Hmax Oriented Gaussian-hermite Moment Gabor Features |
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/173211/15331 |
专题 | 多模态人工智能系统全国重点实验室_机器人理论与应用 |
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. |
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 | ||
Lu et al. - 2014 - E(5178KB) | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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。
修改评论