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Related papers: From two rolling shutters to one global shutter

200 papers

Camera shake during exposure is a major problem in hand-held photography, as it causes image blur that destroys details in the captured images.~In the real world, such blur is mainly caused by both the camera motion and the complex scene…

Computer Vision and Pattern Recognition · Computer Science 2019-03-04 Liyuan Pan , Yuchao Dai , Miaomiao Liu

Wide field-of-view (FOV) cameras, which capture a larger scene area than narrow FOV cameras, are used in many applications including 3D reconstruction, autonomous driving, and video surveillance. However, wide-angle images contain…

Computer Vision and Pattern Recognition · Computer Science 2021-12-02 Jinlong Fan , Jing Zhang , Stephen J. Maybank , Dacheng Tao

Recent image enhancement methods have shown the advantages of using a pair of long and short-exposure images for low-light photography. These image modalities offer complementary strengths and weaknesses. The former yields an image that is…

Computer Vision and Pattern Recognition · Computer Science 2023-09-19 Shayan Shekarforoush , Amanpreet Walia , Marcus A. Brubaker , Konstantinos G. Derpanis , Alex Levinshtein

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

In this paper we present a simple and robust method for self-correction of camera distortion using single images of scenes which contain straight lines. Since the most common distortion can be modelled as radial distortion, we illustrate…

Computer Vision and Pattern Recognition · Computer Science 2010-07-09 Edward Rosten , Rohan Loveland

We present a method that takes as input a single dual-pixel image, and simultaneously estimates the image's defocus map -- the amount of defocus blur at each pixel -- and recovers an all-in-focus image. Our method is inspired from recent…

Computer Vision and Pattern Recognition · Computer Science 2021-10-13 Shumian Xin , Neal Wadhwa , Tianfan Xue , Jonathan T. Barron , Pratul P. Srinivasan , Jiawen Chen , Ioannis Gkioulekas , Rahul Garg

Reconstructing 3D object models is playing an important role in many applications in the field of computer vision. Instead of employing a collection of cameras and/or sensors as in many studies, this paper proposes a simple way to build a…

Computer Vision and Pattern Recognition · Computer Science 2019-08-20 Trong Nguyen Nguyen , Huu Hung Huynh , Jean Meunier

Camera calibration is a process of paramount importance in computer vision applications that require accurate quantitative measurements. The popular method developed by Zhang relies on the use of a large number of images of a planar grid of…

Computer Vision and Pattern Recognition · Computer Science 2024-06-25 Katia Genovese

Camera calibration is the foundation of 3D vision. Generic camera calibration can yield more accurate results than parametric cam era calibration. However, calibrating a generic camera model using printed calibration boards requires far…

Computer Vision and Pattern Recognition · Computer Science 2026-03-06 Zezhun Shi

Neural Radiance Fields (NeRF) has received much attention recently due to its impressive capability to represent 3D scene and synthesize novel view images. Existing works usually assume that the input images are captured by a global shutter…

Computer Vision and Pattern Recognition · Computer Science 2024-02-27 Moyang Li , Peng Wang , Lingzhe Zhao , Bangyan Liao , Peidong Liu

This paper presents a blind detection and compensation technique for camera lens geometric distortions. The lens distortion introduces higher-order correlations in the frequency domain and in turn it can be detected using higher-order…

Computer Vision and Pattern Recognition · Computer Science 2007-05-23 Lili Ma , YangQuan Chen , Kevin L. Moore

Preparing appropriate images for camera calibration is crucial to obtain accurate results. In this paper, new suggestions for preparing such data to alleviate the adverse effect of radial distortion for a calibration procedure using…

Computer Vision and Pattern Recognition · Computer Science 2022-06-29 Jen-Hui Chuang , Hsin-Yi Chen

Because scanning-LIDAR sensors require finite time to create a point cloud, sensor motion during a scan warps the resulting image, a phenomenon known as motion distortion or rolling shutter. Motion-distortion correction methods exist, but…

Robotics · Computer Science 2024-01-11 Matthew McDermott , Jason Rife

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

Clutter in photos is a distraction preventing photographers from conveying the intended emotions or stories to the audience. Photography amateurs frequently include clutter in their photos due to unconscious negligence or the lack of…

Computer Vision and Pattern Recognition · Computer Science 2025-07-22 Xiaoran Wu

Neglecting the effects of rolling-shutter cameras for visual odometry (VO) severely degrades accuracy and robustness. In this paper, we propose a novel direct monocular VO method that incorporates a rolling-shutter model. Our approach…

Computer Vision and Pattern Recognition · Computer Science 2020-06-18 David Schubert , Nikolaus Demmel , Vladyslav Usenko , Jörg Stückler , Daniel Cremers

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

In optical imaging, light propagation is affected by the inhomogeneities of the medium. Sample-induced aberrations and multiple scattering can strongly degrade the image resolution and contrast. Based on a dynamic correction of the incident…

In this paper we address the problem of matching two images with two different resolutions: a high-resolution image and a low-resolution one. The difference in resolution between the two images is not known and without loss of generality…

Computer Vision and Pattern Recognition · Computer Science 2023-11-21 Yves Dufournaud , Cordelia Schmid , Radu Horaud

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