Robust Line-Based Radial Distortion Estimation From a Single Image

doi:10.1109/access.2019.2959204

CIOMP OpenIR

	Robust Line-Based Radial Distortion Estimation From a Single Image
	L.W.Zhang; H.B.Shang; F.L.Wu; R.Wang; T.Sun; J.J.Xie
	2019
发表期刊	Ieee Access
ISSN	2169-3536
卷号	7 页码:180373-180382
摘要	The pinhole model utilized in most computer vision algorithms becomes unfeasible because of lens distortion. Thus it is a must to compensate lens distortion to make the pinhole model available. In this paper, we propose a new robust line-based distortion estimation method to correct radial distortion. Our method works from a single image and is able to estimate the distortion center rather than assuming it is at the image center. Distortion parameters are estimated from parameters of circulars arcs, on the basis that straight lines are imaged as circular arcs under one-parameter division model. A new feature selection scheme by refining circular arcs is introduced to make the process of distortion estimation fully automatic and more robust. Moreover, a linear optimization algorithm is applied to calculating parameters in each selection run, making our feature selection scheme more efficient. Experiments on synthetic images and real images show that our method performs well in radial distortion estimation even with severely distorted images.
关键词	Distortion estimation,radial distortion,division model,feature,selection,plumb-line,lens distortion,automatic calibration,cameras,model,Computer Science,Engineering,Telecommunications
DOI	10.1109/access.2019.2959204
收录类别	SCI ; EI
语种	英语
引用统计
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/62796
专题	中国科学院长春光学精密机械与物理研究所
推荐引用方式 GB/T 7714	L.W.Zhang,H.B.Shang,F.L.Wu,et al. Robust Line-Based Radial Distortion Estimation From a Single Image[J]. Ieee Access,2019,7:180373-180382.
APA	L.W.Zhang,H.B.Shang,F.L.Wu,R.Wang,T.Sun,&J.J.Xie.(2019).Robust Line-Based Radial Distortion Estimation From a Single Image.Ieee Access,7,180373-180382.
MLA	L.W.Zhang,et al."Robust Line-Based Radial Distortion Estimation From a Single Image".Ieee Access 7(2019):180373-180382.

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