Results 191 to 200 of about 171,307 (232)

Rolling Shutter Camera Absolute Pose

open access: yesIEEE Transactions on Pattern Analysis and Machine Intelligence, 2020
We present minimal, non-iterative solutions to the absolute pose problem for images from rolling shutter cameras. The absolute pose problem is a key problem in computer vision and rolling shutter is present in a vast majority of today's digital cameras. We discuss several camera motion models and propose two feasible rolling shutter camera models for a
Tomáš Pajdla   +2 more
exaly   +5 more sources

Unified Video Reconstruction for Rolling Shutter and Global Shutter Cameras

IEEE Transactions on Image Processing
Currently, the general domain of video reconstruction (VR) is fragmented into different shutters spanning global shutter and rolling shutter cameras. Despite rapid progress in the state-of-the-art, existing methods overwhelmingly follow shutter-specific paradigms and cannot conceptually generalize to other shutter types, hindering the uniformity of VR ...
Boxin Shi, Yuchao Dai, Bin Fan
exaly   +3 more sources

Removing rolling shutter wobble

2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2010
We present an algorithm to remove wobble artifacts from a video captured with a rolling shutter camera undergoing large accelerations or jitter. We show how estimating the rapid motion of the camera can be posed as a temporal super-resolution problem. The low-frequency measurements are the motions of pixels from one frame to the next.
Simon Baker   +3 more
openaire   +2 more sources

Rolling Shutter Super-Resolution

2015 IEEE International Conference on Computer Vision (ICCV), 2015
Classical multi-image super-resolution (SR) algorithms, designed for CCD cameras, assume that the motion among the images is global. But CMOS sensors that have increasingly started to replace their more expensive CCD counterparts in many applications do not respect this assumption if there is a motion of the camera relative to the scene during the ...
Abhijith Punnappurath   +2 more
openaire   +2 more sources

Vision-aided inertial navigation with rolling-shutter cameras [PDF]

open access: yesInternational Journal of Robotics Research, 2014
In this paper, we focus on the problem of pose estimation using measurements from an inertial measurement unit and a rolling-shutter ...
Anastasios Mourikis
exaly   +1 more source

Degeneracies in Rolling Shutter SfM

2016
We address the problem of Structure from Motion (SfM) with rolling shutter cameras. We first show that many common camera configurations, e.g. cameras with parallel readout directions, become critical and allow for a large class of ambiguities in multi-view reconstruction.
Cenek Albl   +2 more
openaire   +1 more source

Calibration-free rolling shutter removal

2012 IEEE International Conference on Computational Photography (ICCP), 2012
We present a novel algorithm for efficient removal of rolling shutter distortions in uncalibrated streaming videos. Our proposed method is calibration free as it does not need any knowledge of the camera used, nor does it require calibration using specially recorded calibration sequences.
Matthias Grundmann   +3 more
openaire   +2 more sources

Automated rolling shutter calibration with an LED panel

Optics Letters, 2023
Cameras with rolling shutters (RSs) dominate consumer markets but are subject to distortions when capturing motion. Many methods have been proposed to mitigate RS distortions for applications such as vision-aided odometry and three-dimensional (3D) reconstruction. They usually need known line delay d
Jianzhu Huai   +6 more
openaire   +2 more sources

Rolling Shutter Image Compensation

2007
This paper describes corrections to image distortion found on the Sony AIBO ERS-7 robots. When obtaining an image the camera captures each pixel in series, that is there is effectively a 'rolling shutter'. This results in a delay between the capture of the first and last pixel.
Steven P. Nicklin   +2 more
openaire   +2 more sources

Home - About - Disclaimer - Privacy