Smooth invariant interpolation of rotations
ACM Transactions on Graphics (TOG)
Animating rotation with quaternion curves
SIGGRAPH '85 Proceedings of the 12th annual conference on Computer graphics and interactive techniques
A Flexible New Technique for Camera Calibration
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiple view geometry in computer vision
Multiple view geometry in computer vision
International Journal of Computer Vision - Joint special issue on image analysis
Fast 3D Stabilization and Mosaic Construction
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Electronic image stabilization using multiple visual cues
ICIP '95 Proceedings of the 1995 International Conference on Image Processing (Vol. 1)-Volume 1 - Volume 1
Content-preserving warps for 3D video stabilization
ACM SIGGRAPH 2009 papers
An iterative image registration technique with an application to stereo vision
IJCAI'81 Proceedings of the 7th international joint conference on Artificial intelligence - Volume 2
ACM Transactions on Graphics (TOG)
Affine Motion Based CMOS Distortion Analysis and CMOS Digital Image Stabilization
IEEE Transactions on Consumer Electronics
CMOS Digital Image Stabilization
IEEE Transactions on Consumer Electronics
Suppressing rolling-shutter distortion of CMOS image sensors by motion vector detection
IEEE Transactions on Consumer Electronics
Analysis and Compensation of Rolling Shutter Effect
IEEE Transactions on Image Processing
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This article presents a method for rectifying and stabilising video from cell-phones with rolling shutter (RS) cameras. Due to size constraints, cell-phone cameras have constant, or near constant focal length, making them an ideal application for calibrated projective geometry. In contrast to previous RS rectification attempts that model distortions in the image plane, we model the 3D rotation of the camera. We parameterise the camera rotation as a continuous curve, with knots distributed across a short frame interval. Curve parameters are found using non-linear least squares over inter-frame correspondences from a KLT tracker. By smoothing a sequence of reference rotations from the estimated curve, we can at a small extra cost, obtain a high-quality image stabilisation. Using synthetic RS sequences with associated ground-truth, we demonstrate that our rectification improves over two other methods. We also compare our video stabilisation with the methods in iMovie and Deshaker.