Expert Sample Consensus (ESAC) for visual re-localization [data]
Supplementary training data for visual camera re-localization, particularly pre-computed scene coordinates to the MSR 7Scenes dataset and the Standford 12Scenes dataset. We also provide pre-trained models of our method for the 7Scenes, 12Scenes, Dubrovnik and Aachen (day) datasets. For more informat...
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| Main Author: | |
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| Format: | Database Research Data |
| Language: | English |
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Heidelberg
Universität
2020-09-07
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| DOI: | 10.11588/data/GSJE9D |
| Subjects: | |
| Online Access: | Verlag, kostenfrei, Volltext: https://doi.org/10.11588/data/GSJE9D Verlag, kostenfrei, Volltext: https://heidata.uni-heidelberg.de/dataset.xhtml?persistentId=doi:10.11588/data/GSJE9D 
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| Author Notes: | Eric Brachmann |
| Summary: | Supplementary training data for visual camera re-localization, particularly pre-computed scene coordinates to the MSR 7Scenes dataset and the Standford 12Scenes dataset. We also provide pre-trained models of our method for the 7Scenes, 12Scenes, Dubrovnik and Aachen (day) datasets. For more information, also see the code documentation: https://github.com/vislearn/esac |
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| Item Description: | Production date: 2019-03-31 Gesehen am 14.09.2020 |
| Physical Description: | Online Resource |
| DOI: | 10.11588/data/GSJE9D |