SIA OpenIR  > 光电信息技术研究室
Accurate and robust feature-based homography estimation using HALF-SIFT and feature localization error weighting
Zhao CY(赵春阳); Zhao HC(赵怀慈)
作者部门光电信息技术研究室
关键词Homography Estimation Feature Localization Error Covariance Weighted Mlesac Covariance Weighted Levenberg-marquardt
发表期刊Journal of Visual Communication and Image Representation
ISSN1047-3203
2016
卷号40页码:288-299
收录类别SCI ; EI
EI收录号20162902619762
WOS记录号WOS:000384398500025
产权排序1
摘要The goal of homography estimation is to find global transformation between two images of the same scene taken from different viewpoints. The feature-based homography estimation method uses a local feature extractor, a RANSAC-like method and the Levenberg-Marquardt method to estimate the homography matrix. However, in practical applications, the accuracy and robustness of homography estimation are significantly affected by feature localization error. In this paper, we first use the HALF-SIFT method to compensate for localization error caused by the feature extraction method and use the covariance matrix to represent localization error caused by image noise. Then, we proposed a new inliers selection method named CW MLESAC and a new homography matrix refinement method named CW L-M to improve accuracy and robustness. Experimental results show that the proposed method is more accurate and robust under different noise levels and inlier ratios than state-of-the-art methods such as LMedS, RANSAC, MSAC and MLESAC.
语种英语
WOS标题词Science & Technology ; Technology
WOS类目Computer Science, Information Systems ; Computer Science, Software Engineering
关键词[WOS]IMAGE REGISTRATION
WOS研究方向Computer Science
引用统计
被引频次:1[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.sia.cn/handle/173321/18834
专题光电信息技术研究室
通讯作者Zhao CY(赵春阳)
作者单位1.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
2.University of Chinese Academy of Sciences, Beijing 100049, China
3.Key Laboratory of Opto-Electronic Information Processing, CAS, Shenyang 110016, China
推荐引用方式
GB/T 7714
Zhao CY,Zhao HC. Accurate and robust feature-based homography estimation using HALF-SIFT and feature localization error weighting[J]. Journal of Visual Communication and Image Representation,2016,40:288-299.
APA Zhao CY,&Zhao HC.(2016).Accurate and robust feature-based homography estimation using HALF-SIFT and feature localization error weighting.Journal of Visual Communication and Image Representation,40,288-299.
MLA Zhao CY,et al."Accurate and robust feature-based homography estimation using HALF-SIFT and feature localization error weighting".Journal of Visual Communication and Image Representation 40(2016):288-299.
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
Accurate and robust (4353KB)期刊论文作者接受稿开放获取ODC PDDL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
[Zhao CY(赵春阳)]的文章
[Zhao HC(赵怀慈)]的文章
百度学术
百度学术中相似的文章
[Zhao CY(赵春阳)]的文章
[Zhao HC(赵怀慈)]的文章
必应学术
必应学术中相似的文章
[Zhao CY(赵春阳)]的文章
[Zhao HC(赵怀慈)]的文章
相关权益政策
暂无数据
收藏/分享
文件名: Accurate and robust feature-based homography estimation using HALF-SIFT and feature localization error weighting.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。