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Pose estimation using visual entropy

Gui, J and Gu, D and Hu, H (2015) Pose estimation using visual entropy. In: UNSPECIFIED, ? - ?.

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The trend of using visual information for pose estimation of camera becomes increasingly popular and diverse. In this paper, we propose a pose estimation based on visual information entropy. The constructed cost functions are robustness by natural and suitable to be applied in pose estimation in highly agile platforms. Especially, using the visual entropy or salient features as observation causes dramatically difference in computational time. The experiments based on real data from office environment shows that the entropy-based pose estimation using mutual information has huge potential in performance.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Published proceedings: 2015 21st International Conference on Automation and Computing: Automation, Computing and Manufacturing for New Economic Growth, ICAC 2015
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Jim Jamieson
Date Deposited: 13 Dec 2016 14:52
Last Modified: 30 Mar 2021 23:15

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