Knowledge Commons of Institute of Automation,CAS
Dominant Orientation Patch Matching for HMAX | |
Lu Yanfeng(吕彦锋)1![]() | |
发表期刊 | Neurocomputing
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2016 | |
期号 | 193页码:155-166 |
摘要 | The biologically inspired 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 it is sensitive to rotational deformation, which greatly limits its performance in object recognition. The main reason for this is that HMAX lacks an appropriate directional module against rotational deformation, thereby often leading to mismatch. To address this issue, we propose a novel patch-matching method for HMAX called Dominant Orientation Patch Matching (DOPM), which calculates the dominant orientation of the selected patches and implements patch-to-patch matching. In contrast to patch matching with the whole target image (second layer C1) in the conventional HMAX model, which involves huge amounts of redundant information in the feature representation, the DOPM-based HMAX model (D-HMAX) quantizes the C1 layer to patch sets with better distinctiveness, then realizes patch-to-patch matching based on the dominant orientation. To show the effectiveness of D-HMAX, we apply it to object categorization and conduct experiments on the CalTech101, CalTech05, GRAZ01, and GRAZ02 databases. Our experimental results demonstrate that D-HMAX outperforms conventional HMAX and is comparable to existing architectures that have a similar framework. |
关键词 | Object Recognition Classification Hmax Dominant Orientation Patch Matching |
收录类别 | SCI |
语种 | 英语 |
WOS记录号 | WOS:000375506500017 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/15330 |
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 |
作者单位 | 1.Institute of Automation, Chinese Academy of Sciences 2.Korea University 3.Sangmyung University |
第一作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Lu Yanfeng,Zhang Huazhen,Kang Taekoo,et al. Dominant Orientation Patch Matching for HMAX[J]. Neurocomputing,2016(193):155-166. |
APA | Lu Yanfeng,Zhang Huazhen,Kang Taekoo,&Lim Myotaeg.(2016).Dominant Orientation Patch Matching for HMAX.Neurocomputing(193),155-166. |
MLA | Lu Yanfeng,et al."Dominant Orientation Patch Matching for HMAX".Neurocomputing .193(2016):155-166. |
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Dominant orientation(9039KB) | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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