A Geometric Observer for Scene Reconstruction Using Plenoptic Cameras
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O'Brien, Sean
Trumpf, Jochen
Ila, Viorela
Mahony, Robert
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IEEE
Abstract
This paper proposes an observer for generating depth maps of a scene from a sequence of measurements acquired by a two-plane light-field (plenoptic) camera. The observer is based on a gradient-descent methodology. The use of motion allows for estimation of depth maps where the scene contains insufficient texture for static estimation methods to work. A rigourous analysis of stability of the observer error is provided, and the observer is tested in simulation, demonstrating convergence behaviour.
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Proceedings of the IEEE Conference on Decision and Control
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Restricted until
2037-12-31