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Proceedings Paper

Fuzzy-based motion estimation for video stabilization using SIFT interest points
Author(s): S. Battiato; G. Gallo; G. Puglisi; S. Scellato
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Paper 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.

Paper Details

Date Published: 19 January 2009
PDF: 8 pages
Proc. SPIE 7250, Digital Photography V, 72500T (19 January 2009); doi: 10.1117/12.805660
Show Author Affiliations
S. Battiato, Univ. degli Studi di Catania (Italy)
G. Gallo, Univ. degli Studi di Catania (Italy)
G. Puglisi, Univ. degli Studi di Catania (Italy)
S. Scellato, Scuola Superiore di Catania (Italy)

Published in SPIE Proceedings Vol. 7250:
Digital Photography V
Brian G. Rodricks; Sabine E. Süsstrunk, Editor(s)

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