Accumulation of different visual feature descriptors in a coherent framework

Jessen, J. B., Pilz, F., Kraft, D., Pugeault, N. and Krüger, N. (2011) Accumulation of different visual feature descriptors in a coherent framework. In: Heyden, A. and Kahl, F. (eds.) Image Analysis: 17th Scandinavian Conference, SCIA 2011, Ystad, Sweden, May 2011. Proceedings. Series: Lecture notes in computer science (6688). Springer: Berlin, pp. 79-90. ISBN 9783642212260 (doi: 10.1007/978-3-642-21227-7_8)

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.

• Item Type: Book Sections
• Status: Published
• Glasgow Author(s) Enlighten ID: Pugeault, Dr Nicolas
• Authors: Jessen, J. B., Pilz, F., Kraft, D., Pugeault, N., and Krüger, N.
• College/School: College of Science and Engineering > School of Computing Science
• Publisher: Springer
• ISBN: 9783642212260