A Geometric Observer for Scene Reconstruction Using Plenoptic Cameras
Optimization and Control
2018-09-24 v1
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.
Keywords
Cite
@article{arxiv.1809.07931,
title = {A Geometric Observer for Scene Reconstruction Using Plenoptic Cameras},
author = {Sean G. P. O'Brien and Jochen Trumpf and Viorela Ila and Robert Mahony},
journal= {arXiv preprint arXiv:1809.07931},
year = {2018}
}
Comments
Full version of paper submitted to CDC 2018. 11 pages. 12 figures