Accumulation of different visual feature descriptors in a coherent framework

Authors:
Jeppe Barsøe Jessen;Florian Pilz;Dirk Kraft;Nicolas Pugeault;Norbert Krüger
Affiliations:
Mærsk Mc-Kinney Møller Institute, University of Southern Denmark, Odense, Denmark;Department of Architecture, Design & Media Technology, Aalborg University, Denmark;Mærsk Mc-Kinney Møller Institute, University of Southern Denmark, Odense, Denmark;Centre for Vision, Speech and Signal Processing, University of Surrey, United Kingdom;Mærsk Mc-Kinney Møller Institute, University of Southern Denmark, Odense, Denmark
Venue:
SCIA'11 Proceedings of the 17th Scandinavian conference on Image analysis
Year:
2011

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Abstract

We present a temporal accumulation scheme which disambiguates different kinds of visual 3D descriptors within one coherent framework. The accumulation consists of a twofold process: First, by means of a Bayesian filtering outliers become eliminated and second, the precision of the extracted information becomes enhanced by means of an unscented Kalman filtering process. It is a particular property of our algorithm to be able to deal with different kinds of visual descriptors by the very same mechanism. We show quantitative and qualitative results.