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DC Element | Wert | Sprache |
---|---|---|
dc.contributor.author | Gul, Muhammad Shahzeb Khan | - |
dc.contributor.author | Wolf, Thorsten | - |
dc.contributor.author | Bätz, Michel | - |
dc.contributor.author | Ziegler, Matthias | - |
dc.contributor.author | Keinert, Joachim | - |
dc.date.accessioned | 2020-04-28T11:50:19Z | - |
dc.date.available | 2020-04-28T11:50:19Z | - |
dc.date.issued | 2020-04-15 | - |
dc.identifier.uri | https://fordatis.fraunhofer.de/handle/fordatis/158 | - |
dc.identifier.uri | http://dx.doi.org/10.24406/fordatis/73 | - |
dc.description | Light-field (LF) imaging has various advantages over the traditional 2D photography, providing angular information of the real world scene by separately recording light rays in different directions. Despite the directional light information which enables new capabilities such as depth estimation, post-capture refocusing, and 3D modelling, currently available light-field datasets are very restricted in terms of spatialresolution and dynamic range. We address this problem by capturing a novel light-field dataset featuring both a high spatial resolution and a high dynamic range (HDR). This dataset should enable the community to research and develop efficient reconstruction and tone-mapping algorithms for a hyper-realistic visual experience. The dataset consists of six static light-fields that are captured by a high-quality digital camera mounted on two precise linear axes using exposure bracketing at each view point. | - |
dc.description.abstract | Light-field (LF) imaging has various advantages over the traditional 2D photography, providing angular information of the real world scene by separately recording light rays in different directions. Despite the directional light information which enables new capabilities such as depth estimation, post-capture refocusing, and 3D modelling, currently available light-field datasets are very restricted in terms of spatial-resolution and dynamic range. In this work, we address this problem by capturing a novel light-field dataset featuring both a high spatial resolution and a high dynamic range (HDR). This dataset should enable the community to research and develop efficient reconstruction and tone-mapping algorithms for a hyper-realistic visual experience. The dataset consists of four static light-fields that are captured by a high-quality digital camera mounted on two precise linear axes using exposure bracketing at each view point. | en |
dc.language.iso | en | en |
dc.publisher | Fraunhofer IIS | - |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/ | en |
dc.subject | dataset | en |
dc.subject | light field | en |
dc.subject | high dynamic range | en |
dc.subject | industrial robot | en |
dc.subject | multi-camera array | en |
dc.title | TEDDY: A High-Resolution High Dynamic Range Light-Field Dataset | en |
dc.type | Image | en |
dc.contributor.funder | European Commission EC | en |
dc.description.technicalinformation | See Readme.txt. | en |
fordatis.group | Mikroelektronik | en |
fordatis.institute | IIS Fraunhofer-Institut für Integrierte Schaltungen | en |
fordatis.project.fhgid | 210102 | en |
fordatis.rawdata | false | en |
fordatis.sponsorship.FundingProgramme | EU.1.3.1. | en |
fordatis.sponsorship.projectid | 765911 | en |
fordatis.sponsorship.projectname | Hyperrealistic Imaging Experience | en |
fordatis.sponsorship.projectacronym | RealVision | en |
dc.date.updated | 2020-04-17T18:50:02Z | - |
fordatis.sponsorship.ResearchFrameworkProgramm | Horizon 2020 | en |
Enthalten in den Sammlungen: | Fraunhofer-Institut für Integrierte Schaltungen IIS |
Dateien zu dieser Ressource:
Datei | Beschreibung | Größe | Format | |
---|---|---|---|---|
Readme.txt | 1,83 kB | Text | Öffnen/Download | |
TeddyDense.zip | 70,61 GB | Unknown | Öffnen/Download | |
TeddyAndCrabby.zip | 6,26 GB | Unknown | Öffnen/Download | |
BusyTeddy.zip | 6,81 GB | Unknown | Öffnen/Download | |
TeddyInEgypt.zip | 6,59 GB | Unknown | Öffnen/Download | |
TeddySuperDense.zip | 70,8 GB | Unknown | Öffnen/Download | |
RelaxingTeddy.zip | 6,59 GB | Unknown | Öffnen/Download |
Versionshistorie
Version | Ressource | Datum | Zusammenfassung |
---|---|---|---|
1 | fordatis/158 | 2020-04-28 13:50:19.0 |
Diese Ressource wurde unter folgender Copyright-Bestimmung veröffentlicht: Lizenz von Creative Commons