dc.contributor.author | Javidnia, Hossein | |
dc.contributor.author | Bazrafkan, Shabab | |
dc.contributor.author | Corcoran, Peter | |
dc.date.accessioned | 2021-04-07T12:21:23Z | |
dc.date.available | 2021-04-07T12:21:23Z | |
dc.date.issued | 2018-01-02 | |
dc.identifier.citation | Javidnia, Hossein, Bazrafkan, Shabab, & Corcoran, Peter. (2018). The application of deep learning on depth from multi-array camera. Paper presented at the 2018 IEEE International Conference on Consumer Electronics (ICCE), Las Vegas, NV, USA, 02-14 January. | en_IE |
dc.identifier.uri | http://hdl.handle.net/10379/16682 | |
dc.description.abstract | Consumer-level multi-array cameras are a key enabling technology for next generation smartphones imaging systems. The present paper aims to analyze the accuracy of the depth estimation while using different camera combinations in a multi-array camera. This is done by providing a framework of deep neural networks to determine depth map from a sequence of images captured by a multi-array camera. Capturing depth information enables users to perform a range of post-capture edits such as refocusing, and creating a 3D model of any scene. Thus it is essential to calculate an accurate depth map while using the minimum computational resources. | en_IE |
dc.description.sponsorship | The research work presented here was funded under the
Strategic Partnership Program of Science Foundation Ireland
(SFI) and co-funded by SFI and FotoNation Ltd. Project ID:
13/SPP/I2868 on “Next Generation Imaging for Smartphone
and Embedded Platforms”. | en_IE |
dc.format | application/pdf | en_IE |
dc.language.iso | en | en_IE |
dc.publisher | Institute of Electrical and Electronics Engineers | en_IE |
dc.relation.ispartof | 2018 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS (ICCE) | en |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 Ireland | |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/3.0/ie/ | |
dc.subject | Cameras | en_IE |
dc.subject | Estimation | en_IE |
dc.subject | Neural networks | en_IE |
dc.subject | Three-dimensional displays | en_IE |
dc.subject | Computer vision | en_IE |
dc.title | The application of deep learning on depth from multi-array camera | en_IE |
dc.type | Conference Paper | en_IE |
dc.date.updated | 2021-04-02T16:58:11Z | |
dc.identifier.doi | 10.1109/ICCE.2018.8326322 | |
dc.local.publishedsource | https://dx.doi.org/10.1109/ICCE.2018.8326322 | en_IE |
dc.description.peer-reviewed | peer-reviewed | |
dc.contributor.funder | Science Foundation Ireland | en_IE |
dc.contributor.funder | FotoNation Ltd | en_IE |
dc.internal.rssid | 16220138 | |
dc.local.contact | Peter Corcoran, Electrical & Electronic Eng, Room 3041, Engineering Building, Nui Galway. 2764 Email: peter.corcoran@nuigalway.ie | |
dc.local.copyrightchecked | Yes | |
dc.local.version | ACCEPTED | |
dcterms.project | info:eu-repo/grantAgreement/SFI/SFI Strategic Partnership Programme/13/SPP/I2868/IE/Next Generation Imaging for Smartphone and Embedded Platforms/ | en_IE |
nui.item.downloads | 109 | |