A 3D scene analysis framework and descriptors for risk evaluation

Dupre, R., Argyriou, V., Greenhill, D. and Tzimiropoulos, G. (2015) A 3D scene analysis framework and descriptors for risk evaluation. In: 2015 International Conference on 3D Vision (3DV), 19-22 October 2015, Lyon, France.

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In this paper we evaluate the notion of scene analysis with regard to risk. We consider the problem of evaluating risk and potential hazards in an environment and providing a quantified risk score. A definition of risk is given incorporating two elements; Firstly scene stability, where Newtonian Physics are introduced into the scene analysis process, evaluating object stability within a scene. The effectiveness of which is demonstrated by conducting experiments on several scenes including a variety of stability levels. Secondly the analysis of the intrinsic risk related properties of an object, which is estimated using learning techniques and the utilisation of the 3D Voxel HOG descriptor, analysed against the state-of-the-art descriptors. Finally a new dataset is provided that is designed for scene analysis focusing on risk evaluation.

Item Type: Conference or Workshop Item (Paper)
RIS ID: https://nottingham-repository.worktribe.com/output/988161
Additional Information: © 2015 IEEE. Published in: 2015 International Conference on 3D Vision :3DV 2015 : proceedings : 19-22 October 2015, ENS, Lyon, France /edited by Michael Brown, Jana Kosecka, Christian Theobalt.Los Alamitos, Calif. : Conference Publishing Serivces, IEEE Computer Society, c2015. ISBN 9781467383325.
Schools/Departments: University of Nottingham, UK > Faculty of Science > School of Computer Science
Depositing User: Tzimiropoulos, Yorgos
Date Deposited: 29 Jan 2016 11:40
Last Modified: 04 May 2020 20:10
URI: https://eprints.nottingham.ac.uk/id/eprint/31445

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