OPT OpenIR  > 光谱成像技术研究室
Noise-resistant matching algorithm integrating regional information for low-light stereo vision
Feng, Huahui1,2; Zhang, Geng1; Hu, Bingliang1; Zhang, Xin1; Li, Siyuan1,2,3
作者部门光谱成像技术研究室
2019-01
发表期刊JOURNAL OF ELECTRONIC IMAGING
ISSN1017-9909;1560-229X
卷号28期号:1
产权排序1
摘要

Low-light stereo vision is a challenging problem because images captured in dark environment usually suffer from strong random noises. Some widely adopted algorithms, such as semiglobal matching, mainly depend on pixel-level information. The accuracy of local feature matching and disparity propagation decreases when pixels become noisy. Focusing on this problem, we proposed a matching algorithm that utilizes regional information to enhance the robustness to local noisy pixels. This algorithm is based on the framework of ADCensus feature and semiglobal matching. It extends the original algorithm in two ways. First, image segmentation information is added to solve the problem of incomplete path and improve the accuracy of cost calculation. Second, the matching cost volume is calculated with AD-SoftCensus measure that minimizes the impact of noise by changing the pattern of the census descriptor from binary to trinary. The robustness of the proposed algorithm is validated on Middlebury datasets, synthetic data, and real world data captured by a low-light camera in darkness. The results show that the proposed algorithm has better performance and higher matching rate among top-ranked algorithms on low signal-to-noise ratio data and high accuracy on the Middlebury benchmark datasets. (C) 2019 SPIE and IS&T

关键词stereo matching low-light random noise regional information
DOI10.1117/1.JEI.28.1.013050
收录类别SCI ; EI
语种英语
WOS记录号WOS:000460119700050
出版者IS&T & SPIE
EI入藏号20191106619862
引用统计
文献类型期刊论文
条目标识符http://ir.opt.ac.cn/handle/181661/31325
专题光谱成像技术研究室
通讯作者Li, Siyuan
作者单位1.Chinese Acad Sci, Xian Inst Opt & Precis Mech, Key Lab Spectral Imaging Technol CAS, Xian, Shaanxi, Peoples R China
2.Univ Chinese Acad Sci, Beijing, Peoples R China
3.Xi An Jiao Tong Univ, Xian, Shaanxi, Peoples R China
推荐引用方式
GB/T 7714
Feng, Huahui,Zhang, Geng,Hu, Bingliang,et al. Noise-resistant matching algorithm integrating regional information for low-light stereo vision[J]. JOURNAL OF ELECTRONIC IMAGING,2019,28(1).
APA Feng, Huahui,Zhang, Geng,Hu, Bingliang,Zhang, Xin,&Li, Siyuan.(2019).Noise-resistant matching algorithm integrating regional information for low-light stereo vision.JOURNAL OF ELECTRONIC IMAGING,28(1).
MLA Feng, Huahui,et al."Noise-resistant matching algorithm integrating regional information for low-light stereo vision".JOURNAL OF ELECTRONIC IMAGING 28.1(2019).
条目包含的文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
Noise-resistant matc(4560KB)期刊论文出版稿限制开放CC BY-NC-SA请求全文
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
[Feng, Huahui]的文章
[Zhang, Geng]的文章
[Hu, Bingliang]的文章
百度学术
百度学术中相似的文章
[Feng, Huahui]的文章
[Zhang, Geng]的文章
[Hu, Bingliang]的文章
必应学术
必应学术中相似的文章
[Feng, Huahui]的文章
[Zhang, Geng]的文章
[Hu, Bingliang]的文章
相关权益政策
暂无数据
收藏/分享
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。