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<title>Historical image benchmark dataset including feature matches and four scene reconstructions.</title>
<link href="https://opara.zih.tu-dresden.de/xmlui/handle/123456789/2008" rel="alternate"/>
<subtitle>Supplementary image dataset of the ISPRS International Journal of Geoinformation publication "Fully Automated Pose Estimation of Historical Images in the Context of 4D Geographic Information Systems Utilizing Machine Learning Methods". &#13;
&#13;
Historical image benchmark dataset including feature matches and four scene reconstructions. The dataset can be used for testing and evaluating feature matching methods on exclusively historical images. Additionally, the dataset can easily be extended as all tie point information is provided.</subtitle>
<id>https://opara.zih.tu-dresden.de/xmlui/handle/123456789/2008</id>
<updated>2026-04-07T02:00:40Z</updated>
<dc:date>2026-04-07T02:00:40Z</dc:date>
<entry>
<title>HistImage2021</title>
<link href="https://opara.zih.tu-dresden.de/xmlui/handle/123456789/2009" rel="alternate"/>
<author>
<name>Maiwald, Ferdinand</name>
</author>
<id>https://opara.zih.tu-dresden.de/xmlui/handle/123456789/2009</id>
<updated>2021-11-02T14:31:27Z</updated>
<published>2021-01-01T00:00:00Z</published>
<summary type="text">HistImage2021
Maiwald, Ferdinand
Supplementary image dataset of the ISPRS International Journal of Geoinformation publication "Fully Automated Pose Estimation of Historical Images in the Context of 4D Geographic Information Systems Utilizing Machine Learning Methods". Historical image benchmark dataset including feature matches and four scene reconstructions.
Please find detailed information of the used data, its parameters and how it is processed in the accompanying README.md file.
</summary>
<dc:date>2021-01-01T00:00:00Z</dc:date>
</entry>
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