中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Rolling Shutter Camera: Modeling, Optimization and Learning

文献类型:期刊论文

作者Bin Fan; Yuchao Dai; Mingyi He
刊名Machine Intelligence Research
出版日期2023
卷号20期号:6页码:783-798
关键词Rolling shutter, motion modeling, image correction, temporal super-resolution, deep learning
ISSN号2731-538X
DOI10.1007/s11633-022-1399-z
英文摘要Most modern consumer-grade cameras are often equipped with a rolling shutter mechanism, which is becoming increasingly important in computer vision, robotics and autonomous driving applications. However, its temporal-dynamic imaging nature leads to the rolling shutter effect that manifests as geometric distortion. Over the years, researchers have made significant progress in developing tractable rolling shutter models, optimization methods, and learning approaches, aiming to remove geometry distortion and improve visual quality. In this survey, we review the recent advances in rolling shutter cameras from two aspects of motion modeling and deep learning. To the best of our knowledge, this is the first comprehensive survey of rolling shutter cameras. In the part of rolling shutter motion modeling and optimization, the principles of various rolling shutter motion models are elaborated and their typical applications are summarized. Then, the applications of deep learning in rolling shutter based image processing are presented. Finally, we conclude this survey with discussions on future research directions.
源URL[http://ir.ia.ac.cn/handle/173211/56010]  
专题自动化研究所_学术期刊_International Journal of Automation and Computing
作者单位School of Electronics and Information, Northwestern Polytechnical University, Xi′an 710129, China
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GB/T 7714
Bin Fan,Yuchao Dai,Mingyi He. Rolling Shutter Camera: Modeling, Optimization and Learning[J]. Machine Intelligence Research,2023,20(6):783-798.
APA Bin Fan,Yuchao Dai,&Mingyi He.(2023).Rolling Shutter Camera: Modeling, Optimization and Learning.Machine Intelligence Research,20(6),783-798.
MLA Bin Fan,et al."Rolling Shutter Camera: Modeling, Optimization and Learning".Machine Intelligence Research 20.6(2023):783-798.

入库方式: OAI收割

来源:自动化研究所

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