Practical genetic algorithms
Near-regular texture analysis and manipulation
ACM SIGGRAPH 2004 Papers
SIFT Features Tracking for Video Stabilization
ICIAP '07 Proceedings of the 14th International Conference on Image Analysis and Processing
Single-Sensor Imaging: Methods and Applications for Digital Cameras
Single-Sensor Imaging: Methods and Applications for Digital Cameras
Discovering texture regularity as a higher-order correspondence problem
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part II
Digital image translational and rotational motion stabilization using optical flow technique
IEEE Transactions on Consumer Electronics
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Digital video stabilization approaches typically degrade their performances in presence of periodic patterns. Any kind of matching between consecutive frames is not usually able to work in presence of these kind of signals: the motion estimation engine is deceived and its performances degrade abruptly. In this paper we propose a fast fuzzy classifier able to recognize periodic and aperiodic pattern in the images that takes into account the peculiarities of digital video stabilization. Finally, the proposed classifier can be used as a filtering module in a block based video stabilization approach.