Temporal accumulation of oriented visual features

Pugeault, N. and Krüger, N. (2011) Temporal accumulation of oriented visual features. Journal of Visual Communication and Image Representation, 22(2), pp. 153-163. (doi: 10.1016/j.jvcir.2010.12.001)

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Abstract

In this paper we present a framework for accumulating on-line a model of a moving object (e.g., when manipulated by a robot). The proposed scheme is based on Bayesian filtering of local features, filtering jointly position, orientation and appearance information. The work presented here is novel in two aspects: first, we use an estimation mechanism that updates iteratively not only geometrical information, but also appearance information. Second, we propose a probabilistic version of the classical n-scan criterion that allows us to select which features are preserved and which are discarded, while making use of the available uncertainty model. The accumulated representations have been used in three different contexts: pose estimation, robotic grasping, and driver assistance scenario.

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Pugeault, Dr Nicolas
Authors: Pugeault, N., and Krüger, N.
College/School:College of Science and Engineering > School of Computing Science
Journal Name:Journal of Visual Communication and Image Representation
Publisher:Elsevier
ISSN:1047-3203
ISSN (Online):1095-9076
Published Online:14 December 2010

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