Enhanced hierarchical model of object recognition based on a novel patch selection method in salient regions
Lu Yanfeng(吕彦锋); Kang Taekoo; Zhang Huazhen; Lim Myotaeg
2015
发表期刊IET Computer Vision
卷号5期号:9页码:663-672
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.
关键词Hierarchical Model Object Recognition Keypoint-based Patch Selection Hmax
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/173211/15329
专题复杂系统管理与控制国家重点实验室_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. 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.
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. - 2015 - E(1858KB)期刊论文作者接受稿开放获取CC BY-NC-SA浏览 下载
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Lu Yanfeng(吕彦锋)]的文章
[Kang Taekoo]的文章
[Zhang Huazhen]的文章
百度学术
百度学术中相似的文章
[Lu Yanfeng(吕彦锋)]的文章
[Kang Taekoo]的文章
[Zhang Huazhen]的文章
必应学术
必应学术中相似的文章
[Lu Yanfeng(吕彦锋)]的文章
[Kang Taekoo]的文章
[Zhang Huazhen]的文章
相关权益政策
暂无数据
收藏/分享
文件名: Lu et al. - 2015 - Enhanced hierarchical model of object recognition based on a novel patch selection method in salient regions.pdf
格式: Adobe PDF
所有评论 (0)
暂无评论
 

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。