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A single rolling-shutter (RS) image may be viewed as a row-wise combination of a sequence of global-shutter (GS) images captured by a (virtual) moving GS camera within the exposure duration. Although RS cameras are widely used, the RS…

Computer Vision and Pattern Recognition · Computer Science 2022-10-07 Bin Fan , Yuchao Dai , Hongdong Li

This paper proposes to correct the rolling shutter (RS) distorted images by estimating the distortion flow from the global shutter (GS) to RS directly. Existing methods usually perform correction using the undistortion flow from the RS to…

Computer Vision and Pattern Recognition · Computer Science 2024-04-10 Mingdeng Cao , Sidi Yang , Yujiu Yang , Yinqiang Zheng

Rolling shutter (RS) distortion can be interpreted as the result of picking a row of pixels from instant global shutter (GS) frames over time during the exposure of the RS camera. This means that the information of each instant GS frame is…

Computer Vision and Pattern Recognition · Computer Science 2022-07-21 Zhihang Zhong , Mingdeng Cao , Xiao Sun , Zhirong Wu , Zhongyi Zhou , Yinqiang Zheng , Stephen Lin , Imari Sato

CMOS sensors employ row-wise acquisition mechanism while imaging a scene, which can result in undesired motion artifacts known as rolling shutter (RS) distortions in the captured image. Existing single image RS rectification methods attempt…

Computer Vision and Pattern Recognition · Computer Science 2021-12-14 Praveen K , Lokesh Kumar T , A. N. Rajagopalan

In this paper, we develop a modified differential Structure from Motion (SfM) algorithm that can estimate relative pose from two consecutive frames despite of Rolling Shutter (RS) artifacts. In particular, we show that under constant…

Computer Vision and Pattern Recognition · Computer Science 2019-08-06 Bingbing Zhuang , Loong-Fah Cheong , Gim Hee Lee

Rolling-shutter (RS) cameras are ubiquitous, but RS SfM (structure-from-motion) has not been fully solved yet. This work suggests an approach to remedy this: We characterize RS single-view geometry of observed world points or lines.…

Computer Vision and Pattern Recognition · Computer Science 2026-03-13 Sofía Errázuriz Muñoz , Kim Kiehn , Petr Hruby , Kathlén Kohn

This paper proposes the first real-world rolling shutter (RS) correction dataset, BS-RSC, and a corresponding model to correct the RS frames in a distorted video. Mobile devices in the consumer market with CMOS-based sensors for video…

Computer Vision and Pattern Recognition · Computer Science 2022-05-02 Mingdeng Cao , Zhihang Zhong , Jiahao Wang , Yinqiang Zheng , Yujiu Yang

Most consumer cameras use rolling shutter (RS) exposure, which often leads to distortions such as skew and jelly effects. These videos are further limited by bandwidth and frame rate constraints. In this paper, we explore the potential of…

Computer Vision and Pattern Recognition · Computer Science 2025-06-04 Yunfan Lu , Guoqiang Liang , Yiran Shen , Lin Wang

In this paper we consider critical motion sequences (CMSs) of rolling-shutter (RS) SfM. Employing an RS camera model with linearized pure rotation, we show that the RS distortion can be approximately expressed by two internal parameters of…

Computer Vision and Pattern Recognition · Computer Science 2016-11-18 Eisuke Ito , Takayuki Okatani

Most computer vision systems assume distortion-free images as inputs. The widely used rolling-shutter (RS) image sensors, however, suffer from geometric distortion when the camera and object undergo motion during capture. Extensive…

Computer Vision and Pattern Recognition · Computer Science 2022-06-28 Zhixiang Wang , Xiang Ji , Jia-Bin Huang , Shin'ichi Satoh , Xiao Zhou , Yinqiang Zheng

Joint rolling shutter correction and deblurring (RSCD) techniques are critical for the prevalent CMOS cameras. However, current approaches are still based on conventional energy optimization and are developed for static scenes. To enable…

Computer Vision and Pattern Recognition · Computer Science 2021-04-06 Zhihang Zhong , Yinqiang Zheng , Imari Sato

Videos obtained by rolling-shutter (RS) cameras result in spatially-distorted frames. These distortions become significant under fast camera/scene motions. Undoing effects of RS is sometimes addressed as a spatial problem, where objects…

Computer Vision and Pattern Recognition · Computer Science 2022-07-26 Eyal Naor , Itai Antebi , Shai Bagon , Michal Irani

The rolling shutter (RS) mechanism is widely used by consumer-grade cameras, which are essential parts in smartphones and autonomous vehicles. The RS effect leads to image distortion upon relative motion between a camera and the scene. This…

Image and Video Processing · Electrical Eng. & Systems 2021-08-23 Jianzhu Huai , Yuan Zhuang , Qicheng Yuan , Yukai Lin

This paper addresses the problem of rolling shutter correction in complex nonlinear and dynamic scenes with extreme occlusion. Existing methods suffer from two main drawbacks. Firstly, they face challenges in estimating the accurate…

Computer Vision and Pattern Recognition · Computer Science 2023-08-16 Delin Qu , Yizhen Lao , Zhigang Wang , Dong Wang , Bin Zhao , Xuelong Li

Modern consumer cameras commonly employ the rolling shutter (RS) imaging mechanism, via which images are captured by scanning scenes row-by-row, resulting in RS distortion for dynamic scenes. To correct RS distortion, existing methods adopt…

Computer Vision and Pattern Recognition · Computer Science 2024-08-22 Wei Shang , Dongwei Ren , Wanying Zhang , Qilong Wang , Pengfei Zhu , Wangmeng Zuo

Motion degradation, manifested as blur in global shutter (GS) images or rolling shutter (RS) distortion in RS counterparts, remains a fundamental challenge in computational imaging, especially under fast motion or low-light conditions.…

Computer Vision and Pattern Recognition · Computer Science 2026-05-25 Xiang Ji , Guixu Lin , Zhengwei Yin , Jiancheng Zhao , Yinqiang Zheng

In this paper, we propose an approach to address the problem of 3D reconstruction of scenes from a single image captured by a light-field camera equipped with a rolling shutter sensor. Our method leverages the 3D information cues present in…

Computer Vision and Pattern Recognition · Computer Science 2023-11-03 Hermes McGriff , Renato Martins , Nicolas Andreff , Cédric Demonceaux

With the ubiquity of rolling shutter (RS) cameras, it is becoming increasingly attractive to recover the latent global shutter (GS) video from two consecutive RS frames, which also places a higher demand on realism. Existing solutions,…

Computer Vision and Pattern Recognition · Computer Science 2022-05-26 Bin Fan , Yuchao Dai , Zhiyuan Zhang , Qi Liu , Mingyi He

We present StableMotion, a novel framework leverages knowledge (geometry and content priors) from pretrained large-scale image diffusion models to perform motion estimation, solving single-image-based image rectification tasks such as…

Computer Vision and Pattern Recognition · Computer Science 2025-05-13 Ziyi Wang , Haipeng Li , Lin Sui , Tianhao Zhou , Hai Jiang , Lang Nie , Shuaicheng Liu

Scene Dynamic Recovery (SDR) by inverting distorted Rolling Shutter (RS) images to an undistorted high frame-rate Global Shutter (GS) video is a severely ill-posed problem due to the missing temporal dynamic information in both RS…

Computer Vision and Pattern Recognition · Computer Science 2023-04-20 Yangguang Wang , Xiang Zhang , Mingyuan Lin , Lei Yu , Boxin Shi , Wen Yang , Gui-Song Xia
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