51 to 60 of 107 Results
Jun 6, 2019 -
HeiCuBeDa Hilprecht - Heidelberg Cuneiform Benchmark Dataset for the Hilprecht Collection
TAR Archive - 8.3 GB -
MD5: 79873e2ee26e0aeb0d30529098e9b4e5
Multi-scale surface based integral invariants as GNU Octave MAT file compressed with bzip2. One vector per line. First column is the vertex index. |
Jun 6, 2019 -
HeiCuBeDa Hilprecht - Heidelberg Cuneiform Benchmark Dataset for the Hilprecht Collection
TAR Archive - 6.9 GB -
MD5: d857145381a4c1ce5934792be18d6524
Multi-scale surface based integral invariants as GNU Octave MAT file compressed with bzip2. One vector per line. First column is the vertex index. |
Jun 6, 2019 -
HeiCuBeDa Hilprecht - Heidelberg Cuneiform Benchmark Dataset for the Hilprecht Collection
TAR Archive - 9.2 GB -
MD5: fc55ce5cdcdd54c955c74650b259a9c4
Multi-scale surface based integral invariants as GNU Octave MAT file compressed with bzip2. One vector per line. First column is the vertex index. |
Jun 6, 2019 -
HeiCuBeDa Hilprecht - Heidelberg Cuneiform Benchmark Dataset for the Hilprecht Collection
TAR Archive - 12.1 GB -
MD5: b27bcc6404e77869e22003b3f1ac739e
Multi-scale surface based integral invariants as GNU Octave MAT file compressed with bzip2. One vector per line. First column is the vertex index. |
Jun 6, 2019 -
HeiCuBeDa Hilprecht - Heidelberg Cuneiform Benchmark Dataset for the Hilprecht Collection
TAR Archive - 10.3 GB -
MD5: e52983fa1a61bc31541a302284a5342c
Multi-scale surface based integral invariants as GNU Octave MAT file compressed with bzip2. One vector per line. First column is the vertex index. |
Jun 6, 2019 -
HeiCuBeDa Hilprecht - Heidelberg Cuneiform Benchmark Dataset for the Hilprecht Collection
TAR Archive - 6.3 GB -
MD5: a52694d756d2356a0801631ae60f58cd
Multi-scale surface based integral invariants as GNU Octave MAT file compressed with bzip2. One vector per line. First column is the vertex index. |
Jul 28, 2015
Krömker, Susanne; Mara, Hubert, 2015, "Seal of the University of Heidelberg - Siegel UAH AccNr 60/2012", https://doi.org/10.11588/data/10058, heiDATA, V1
Capturing the Heidelberg University's sealings with a 3D-scanner provides new visualizations and virtual restoration possibilities for the partially preserved damaged objects. High-resolution 3D-models are analyzed due to their surface features, which cannot be documented with ph... |
Plain Text - 961.0 MB -
MD5: d057fa24e68e5ae4831d29ea5fef3e9d
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PNG Image - 3.8 MB -
MD5: e19f4f489c51e37ff034374e29801eeb
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Plain Text - 209.4 MB -
MD5: 8f5f8fd716e3f319650154c4357aa71a
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