Enhanced hierarchical model of object recognition based on a novel patch selection method in salient regions
文献类型：期刊论文
| 作者 | Lu Yanfeng(吕彦锋) ; Kang Taekoo; Zhang Huazhen; Lim Myotaeg
|
| 刊名 | IET Computer Vision
 |
| 出版日期 | 2015 |
| 卷号 | 5期号:9页码:663-672 |
| 关键词 | Hierarchical Model Object Recognition Keypoint-based Patch Selection Hmax |
| 英文摘要 | The biologically inspired hierarchical model for object recognition, Hierarchical Model and X (HMAX), has attracted considerable attention in recent years. HMAX is robust (i.e., shift-and-scale invariant), but its use of random-patch-selection makes it sensitive to rotational deformation, which heavily limits its performance in object recognition. The main reason is that numerous randomly chosen patches are often orientation selective, thereby leading to mismatch. To address this issue, we propose a novel patch selection method for HMAX called Saliency and Keypoint based Patch Selection (SKPS), which is based on a saliency (attention) mechanism and multi-scale keypoints. In contrast to the conventional random-patch-selection based HMAX model that involves huge amounts of redundant information in feature extraction, the SKPS based HMAX model (S-HMAX) extracts a very few features while offering promising distinctiveness. To show the effectiveness of S-HMAX, we apply it to object categorization and conduct experiments on the CalTech101, TU Darmstadt (TUD), ImageNet, and GRAZ01 databases. Our experimental results demonstrate that S-HMAX outperforms conventional HMAX and is very comparable to existing architectures that have a similar framework. |
| 语种 | 英语 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/15329]  |
| 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. Enhanced hierarchical model of object recognition based on a novel patch selection method in salient regions[J]. IET Computer Vision,2015,5(9):663-672. |
| APA | Lu Yanfeng,Kang Taekoo,Zhang Huazhen,&Lim Myotaeg.(2015).Enhanced hierarchical model of object recognition based on a novel patch selection method in salient regions.IET Computer Vision,5(9),663-672. |
| MLA | Lu Yanfeng,et al."Enhanced hierarchical model of object recognition based on a novel patch selection method in salient regions".IET Computer Vision 5.9(2015):663-672. |
入库方式： OAI收割
来源：自动化研究所
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