Performance of optical flow techniques
International Journal of Computer Vision
Fast electronic digital image stabilization for off-road navigation
Real-Time Imaging
Disparity estimation on log-polar images and vergence control
Computer Vision and Image Understanding
IEEE Transactions on Pattern Analysis and Machine Intelligence
Optical Flow Computation in the Log-Polar-Plane
CAIP '95 Proceedings of the 6th International Conference on Computer Analysis of Images and Patterns
Log-Polar Wavelet Energy Signatures for Rotation and Scale Invariant Texture Classification
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fixation as a Mechanism for Stabilization of Short Image Sequences
International Journal of Computer Vision
New electronic digital image stabilization algorithm in wavelet transform domain
CIS'05 Proceedings of the 2005 international conference on Computational Intelligence and Security - Volume Part II
Video stabilization using kalman filter and phase correlation matching
ICIAR'05 Proceedings of the Second international conference on Image Analysis and Recognition
A stable vision system for moving vehicles
IEEE Transactions on Intelligent Transportation Systems
Membership function adaptive fuzzy filter for image sequence stabilization
IEEE Transactions on Consumer Electronics
IEEE Transactions on Consumer Electronics
Digital image stabilization based on circular block matching
IEEE Transactions on Consumer Electronics
Extension of phase correlation to subpixel registration
IEEE Transactions on Image Processing
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A novel digital image stabilization technique is proposed in this paper. It is based on a fuzzy Kalman compensation of the global motion vector (GMV), which is estimated in the log-polar plane. The GMV is extracted using four local motion vectors (LMVs) computed on respective subimages in the log-polar plane. The fuzzy Kalman system consists of a fuzzy system with the Kalman filter's discrete time-invariant definition. Due to this inherited recursiveness, the output results into smoothed image sequences. The proposed stabilization system aims to compensate any oscillations of the frame absolute positions, based on the motion estimation in the log-polar domain, filtered by the fuzzy Kalman system, and thus the advantages of both the fuzzy Kalman system and the log-polar transformation are exploited. The described technique produces optimal results in terms of the output quality and the level of compensation.