Removing rolling shutter wobble

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 o...

Full description

Saved in:
Bibliographic Details
Published in2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition pp. 2392 - 2399
Main Authors Baker, S, Bennett, E, Sing Bing Kang, Szeliski, R
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2010
Subjects
Acceleration
Calibration
Closed-form solution
CMOS image sensors
Digital cameras
Jitter
Motion estimation
Pixel
Semiconductor device modeling
Shearing
Online AccessGet full text
ISBN1424469848
9781424469840
ISSN1063-6919
1063-6919
DOI10.1109/CVPR.2010.5539932

Cover

More Information
Summary: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. These measurements are modeled as temporal integrals of the underlying high-frequency jitter of the camera. The estimated high-frequency motion of the camera is then used to re-render the sequence as though all the pixels in each frame were imaged at the same time. We also present an auto-calibration algorithm that can estimate the time between the capture of subsequent rows in the camera.
ISBN:1424469848
9781424469840
ISSN:1063-6919
1063-6919
DOI:10.1109/CVPR.2010.5539932