A Geometric Observer for Scene Reconstruction Using Plenoptic Cameras
| dc.contributor.author | O'Brien, Sean | |
| dc.contributor.author | Trumpf, Jochen | |
| dc.contributor.author | Ila, Viorela | |
| dc.contributor.author | Mahony, Robert | |
| dc.coverage.spatial | Miami, USA | |
| dc.date.accessioned | 2020-02-07T01:42:05Z | |
| dc.date.created | December 17-19 2018 | |
| dc.date.issued | 2019-12-17 | |
| dc.date.updated | 2019-11-25T07:29:46Z | |
| dc.description.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. | en_AU |
| dc.description.sponsorship | This research was supported by the Australian Research Council through the ARC Discovery Project DP160100783 “Sensing a complex world: Infinite dimensional observer theory for robots.” | en_AU |
| dc.format.mimetype | application/pdf | en_AU |
| dc.identifier.isbn | 9781538613955 | en_AU |
| dc.identifier.issn | 0743-1546 | en_AU |
| dc.identifier.uri | http://hdl.handle.net/1885/201527 | |
| dc.language.iso | en_AU | en_AU |
| dc.publisher | IEEE | en_AU |
| dc.relation | http://purl.org/au-research/grants/arc/DP160100783 | en_AU |
| dc.relation.ispartofseries | 57th IEEE Conference on Decision and Control, CDC 2018 | |
| dc.rights | © 2018 IEEE | en_AU |
| dc.source | Proceedings of the IEEE Conference on Decision and Control | en_AU |
| dc.subject | Cameras | en_AU |
| dc.subject | Observers | en_AU |
| dc.subject | Lenses | en_AU |
| dc.subject | Retina | en_AU |
| dc.subject | Optical imaging | en_AU |
| dc.subject | Image color analysis | en_AU |
| dc.title | A Geometric Observer for Scene Reconstruction Using Plenoptic Cameras | en_AU |
| dc.type | Conference paper | en_AU |
| local.bibliographicCitation.lastpage | 564 | en_AU |
| local.bibliographicCitation.startpage | 557 | en_AU |
| local.contributor.affiliation | O'Brien, Sean, College of Engineering and Computer Science, ANU | en_AU |
| local.contributor.affiliation | Trumpf, Jochen, College of Engineering and Computer Science, ANU | en_AU |
| local.contributor.affiliation | Ila, Viorela, College of Engineering and Computer Science, ANU | en_AU |
| local.contributor.affiliation | Mahony, Robert, College of Engineering and Computer Science, ANU | en_AU |
| local.contributor.authoruid | O'Brien, Sean, u4846794 | en_AU |
| local.contributor.authoruid | Trumpf, Jochen, u4056317 | en_AU |
| local.contributor.authoruid | Ila, Viorela, u1000304 | en_AU |
| local.contributor.authoruid | Mahony, Robert, u4033888 | en_AU |
| local.description.embargo | 2037-12-31 | |
| local.description.notes | Imported from ARIES | en_AU |
| local.description.refereed | Yes | |
| local.identifier.absfor | 090602 - Control Systems, Robotics and Automation | en_AU |
| local.identifier.absseo | 970109 - Expanding Knowledge in Engineering | en_AU |
| local.identifier.ariespublication | u3102795xPUB1170 | en_AU |
| local.identifier.doi | 10.1109/CDC.2018.8618954 | en_AU |
| local.identifier.essn | 2576-2370 | en_AU |
| local.identifier.scopusID | 2-s2.0-85062164929 | |
| local.publisher.url | https://ieeexplore.ieee.org | en_AU |
| local.type.status | Published Version | en_AU |
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