DocumentCode
3409121
Title
Rectifying rolling shutter video from hand-held devices
Author
Forssén, Per-Erik ; Ringaby, Erik
Author_Institution
Dept. of Electr. Eng., Linkoping Univ., Linköping, Sweden
fYear
2010
fDate
13-18 June 2010
Firstpage
507
Lastpage
514
Abstract
This paper presents a method for rectifying video sequences from rolling shutter (RS) cameras. In contrast to previous RS rectification attempts we model distortions as being caused by the 3D motion of the camera. The camera motion is parametrised as a continuous curve, with knots at the last row of each frame. Curve parameters are solved for using non-linear least squares over inter-frame correspondences obtained from a KLT tracker. We have generated synthetic RS sequences with associated ground-truth to allow controlled evaluation. Using these sequences, we demonstrate that our algorithm improves over to two previously published methods. The RS dataset is available on the web to allow comparison with other methods.
Keywords
image sequences; least squares approximations; motion estimation; optical elements; video cameras; 3D motion; KLT tracker; camera motion; ground truth; hand-held device; nonlinear least square method; rolling shutter camera; video sequence rectification; CMOS image sensors; Cameras; Charge coupled devices; Karhunen-Loeve transforms; Least squares methods; Lenses; Motion estimation; Nonlinear distortion; Video equipment; Video sequences;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision and Pattern Recognition (CVPR), 2010 IEEE Conference on
Conference_Location
San Francisco, CA
ISSN
1063-6919
Print_ISBN
978-1-4244-6984-0
Type
conf
DOI
10.1109/CVPR.2010.5540173
Filename
5540173
Link To Document