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The vast majority of modern consumer-grade cameras employ a rolling shutter mechanism. In dynamic geometric computer vision applications such as visual SLAM, the so-called rolling shutter effect therefore needs to be properly taken into…

Computer Vision and Pattern Recognition · Computer Science 2016-05-03 Yuchao Dai , Hongdong Li , Laurent Kneip

In this paper, we present a novel linear algorithm to estimate the 6 DoF relative pose from consecutive frames of stereo rolling shutter (RS) cameras. Our method is derived based on the assumption that stereo cameras undergo motion with…

Computer Vision and Pattern Recognition · Computer Science 2020-06-16 Ke Wang , Bin Fan , Yuchao Dai

The rolling shutter camera has received great attention due to its low cost imaging capability, however, the estimation of relative pose between rolling shutter cameras still remains a difficult problem owing to its line-by-line image…

Computer Vision and Pattern Recognition · Computer Science 2019-04-16 Chang-Ryeol Lee , Ju Hong Yoon , Min-Gyu Park , Kuk-Jin Yoon

We propose a novel approach for estimating the relative pose between rolling shutter cameras using the intersections of line projections with a single scanline per image. This allows pose estimation without explicitly modeling camera…

Computer Vision and Pattern Recognition · Computer Science 2025-06-30 Petr Hruby , Marc Pollefeys

Relative pose estimation is a fundamental problem in computer vision and it has been studied for conventional global shutter cameras for decades. However, recently, a rolling shutter camera has been widely used due to its low cost imaging…

Computer Vision and Pattern Recognition · Computer Science 2017-12-04 Chang-Ryeol Lee , Kuk-Jin Yoon

We propose two minimal solutions to the problem of relative pose estimation of (i) a calibrated camera from four points in two views and (ii) a calibrated generalized camera from five points in two views. In both cases, the relative…

Computer Vision and Pattern Recognition · Computer Science 2019-02-01 Evgeniy Martyushev , Bo Li

Cameras with rolling shutters are becoming more common as low-power, low-cost CMOS sensors are being used more frequently in cameras. The rolling shutter means that not all scanlines are exposed over the same time interval. The effects of a…

Computer Vision and Pattern Recognition · Computer Science 2007-05-23 Marci Meingast , Christopher Geyer , Shankar Sastry

The internal geometry of most modern consumer cameras is not adequately described by the perspective projection. Almost all cameras exhibit some radial lens distortion and are equipped with an electronic rolling shutter that induces…

Computer Vision and Pattern Recognition · Computer Science 2020-04-30 Zuzana Kukelova , Cenek Albl , Akihiro Sugimoto , Konrad Schindler , Tomas Pajdla

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

Rolling Shutter (RS) cameras have become popularized because of low-cost imaging capability. However, the RS cameras suffer from undesirable artifacts when the camera or the subject is moving, or illumination condition changes. For that…

Computer Vision and Pattern Recognition · Computer Science 2017-04-25 Chang-Ryeol Lee , Kuk-Jin Yoon

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

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 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

This paper presents new efficient solutions to the rolling shutter camera absolute pose problem. Unlike the state-of-the-art polynomial solvers, we approach the problem using simple and fast linear solvers in an iterative scheme. We present…

Computer Vision and Pattern Recognition · Computer Science 2019-01-01 Zuzana Kukelova , Cenek Albl , Akihiro Sugimoto , Tomas Pajdla

Most consumer cameras are equipped with electronic rolling shutter, leading to image distortions when the camera moves during image capture. We explore a surprisingly simple camera configuration that makes it possible to undo the rolling…

Computer Vision and Pattern Recognition · Computer Science 2020-06-04 Cenek Albl , Zuzana Kukelova , Viktor Larsson , Tomas Pajdla , Konrad Schindler

We introduce RoboPose, a method to estimate the joint angles and the 6D camera-to-robot pose of a known articulated robot from a single RGB image. This is an important problem to grant mobile and itinerant autonomous systems the ability to…

Computer Vision and Pattern Recognition · Computer Science 2021-04-20 Yann Labbé , Justin Carpentier , Mathieu Aubry , Josef Sivic

In this work we present a unified method of relative camera pose estimation from points and lines correspondences. Given a set of 2D points and lines correspondences in three views, of which two are known, a method has been developed for…

Robotics · Computer Science 2017-10-19 Ashraf Qadir , Jeremiah Neubert

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

Relative pose regressors (RPRs) localize a camera by estimating its relative translation and rotation to a pose-labelled reference. Unlike scene coordinate regression and absolute pose regression methods, which learn absolute scene…

Computer Vision and Pattern Recognition · Computer Science 2023-03-07 Ofer Idan , Yoli Shavit , Yosi Keller

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
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