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- W2023007145 abstract "Feature extraction and matching is the key process of motion estimation, and determines the performance of video stabilization to a great extent. A novel approach of video stabilization was proposed based on multi-scale colored local invariant features. The proposed approach transformed the image from RGB color model to color invariant model, and built up multi-scale color invariant space based on Gaussian pyramids, then extracted FAST feature points in the multiscale space and matched the feature points by building Fast Retina Key-point (FREAK) descriptors, finally estimated interframe motions in the video by M-estimator Sample Consensus (MSAC) algorithm, and processed image compensation and smoothing. Experiments demonstrated that the approach was efficient and more robust than general methods especial in harsh imaging conditions." @default.
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- W2023007145 date "2013-12-01" @default.
- W2023007145 modified "2023-10-07" @default.
- W2023007145 title "Video Stabilization Based on Multi-scale Local Color Invariants" @default.
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- W2023007145 doi "https://doi.org/10.1109/icndc.2013.35" @default.
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