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
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;
Conference_Titel :
Computer Vision and Pattern Recognition (CVPR), 2010 IEEE Conference on
Conference_Location :
San Francisco, CA
Print_ISBN :
978-1-4244-6984-0
DOI :
10.1109/CVPR.2010.5540173