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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

Event-based cameras are increasingly utilized in various applications, owing to their high temporal resolution and low power consumption. However, a fundamental challenge arises when deploying multiple such cameras: they operate on…

Robotics · Computer Science 2023-10-02 Wanli Xing , Shijie Lin , Guangze Zheng , Yanjun Du , Jia Pan

This paper addresses the problem of building an affordable easy-to-setup synchronized multi-view camera system, which is in demand for many Computer Vision and Robotics applications in high-dynamic environments. In our work, we propose a…

Computer Vision and Pattern Recognition · Computer Science 2021-08-27 Azat Akhmetyanov , Anastasiia Kornilova , Marsel Faizullin , David Pozo , Gonzalo Ferrer

Current state-of-the-art approaches to video understanding adopt temporal jittering to simulate analyzing the video at varying frame rates. However, this does not work well for multirate videos, in which actions or subactions occur at…

Computer Vision and Pattern Recognition · Computer Science 2018-10-31 Yi Zhu , Shawn Newsam

Compressive video capture encodes a short high-speed video into a single measurement using a low-speed sensor, then computationally reconstructs the original video. Prior implementations rely on expensive hardware and are restricted to…

Image and Video Processing · Electrical Eng. & Systems 2025-09-23 Kevin Tandi , Xiang Dai , Chinmay Talegaonkar , Gal Mishne , Nick Antipa

High-quality scene reconstruction and novel view synthesis based on Gaussian Splatting (3DGS) typically require steady, high-quality photographs, often impractical to capture with handheld cameras. We present a method that adapts to camera…

Computer Vision and Pattern Recognition · Computer Science 2024-07-18 Otto Seiskari , Jerry Ylilammi , Valtteri Kaatrasalo , Pekka Rantalankila , Matias Turkulainen , Juho Kannala , Esa Rahtu , Arno Solin

Modern automotive vehicles are often equipped with a budget commercial rolling shutter camera. These devices often produce distorted images due to the inter-row delay of the camera while capturing the image. Recent methods for monocular…

Computer Vision and Pattern Recognition · Computer Science 2017-12-11 Pulak Purkait , Christopher Zach

In this paper, we describe how the electronic rolling shutter in CMOS image sensors can be exploited using a bright, modulated light source (e.g., an inexpensive, off-the-shelf laser), to inject fine-grained image disruptions. We…

Computer Vision and Pattern Recognition · Computer Science 2021-12-02 Sebastian Köhler , Giulio Lovisotto , Simon Birnbach , Richard Baker , Ivan Martinovic

In this paper, we derive a new differential homography that can account for the scanline-varying camera poses in Rolling Shutter (RS) cameras, and demonstrate its application to carry out RS-aware image stitching and rectification at one…

Computer Vision and Pattern Recognition · Computer Science 2020-08-24 Bingbing Zhuang , Quoc-Huy Tran

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 propose a method for automated synchronization of vehicle sensors useful for the study of multi-modal driver behavior and for the design of advanced driver assistance systems. Multi-sensor decision fusion relies on synchronized data…

Robotics · Computer Science 2016-03-02 Lex Fridman , Daniel E Brown , William Angell , Irman Abdić , Bryan Reimer , Hae Young Noh

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

Quarter sampling is a novel sensor design that allows for an acquisition of higher resolution images without increasing the number of pixels. When being used for video data, one out of four pixels is measured in each frame. Effectively,…

Image and Video Processing · Electrical Eng. & Systems 2022-03-18 Simon Grosche , Jürgen Seiler , André Kaup

Multi-camera surveillance has been an active research topic for understanding and modeling scenes. Compared to a single camera, multi-cameras provide larger field-of-view and more object cues, and the related applications are multi-view…

Computer Vision and Pattern Recognition · Computer Science 2022-05-03 Qi Zhang , Antoni B. Chan

Event cameras are a novel type of sensor designed for capturing the dynamic changes of a scene. Due to factors such as trigger and transmission delays, a time offset exists in the data collected by multiple event cameras, leading to…

Robotics · Computer Science 2025-07-08 Wenxuan Li , Yan Dong , Shaoqiang Qiu , Bin Han

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

Slow motion videos are becoming increasingly popular, but capturing high-resolution videos at extremely high frame rates requires professional high-speed cameras. To mitigate this problem, current techniques increase the frame rate of…

Computer Vision and Pattern Recognition · Computer Science 2020-04-22 Avinash Paliwal , Nima Khademi Kalantari

The detection of shot boundaries (hardcuts and short dissolves), sampling structure (progressive / interlaced / pulldown) and dynamic keyframes in a video are fundamental video analysis tasks which have to be done before any further…

Computer Vision and Pattern Recognition · Computer Science 2025-02-14 Hannes Fassold

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

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