19 January 2009 Fuzzy-based motion estimation for video stabilization using SIFT interest points
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Abstract
In this paper we present a technique which infers interframe motion by tracking SIFT features through consecutive frames: feature points are detected and their stability is evaluated through a combination of geometric error measures and fuzzy logic modelling. Our algorithm does not depend on the point detector adopted prior to SIFT descriptor creation: therefore performance have been evaluated against a wide set of point detection algorithms, in order to investigate how to increase stabilization quality with an appropriate detector.
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S. Battiato, G. Gallo, G. Puglisi, S. Scellato, "Fuzzy-based motion estimation for video stabilization using SIFT interest points", Proc. SPIE 7250, Digital Photography V, 72500T (19 January 2009); doi: 10.1117/12.805660; https://doi.org/10.1117/12.805660
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