Research topics:

Statistical Shape Modeling, Artificial Intelligence in Image Analysis, Computer Aided Diagnosis, Automated Segmentation and Registration of 2D and 3D data, Volume Rendering and Visualisation, Automated Image based Quality Control, Machine Learning for Visual and Medical Computing, Augmented and Virtual Reality

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121 to 130 of 204 Results
functional.h
Aug 11, 2020 - Source code to generate LoD1 CityGML models from city area maps
C++ Source - 2.9 KB - MD5: c314e1d929a6ab6537b40cdd932b1aea
gen_blk_gml_utils.py
Aug 11, 2020 - Source code to generate LoD1 CityGML models from city area maps
Python Source Code - 6.8 KB - MD5: 467b77b1aac1e9a5aba420e73e9c0dbd
.gitignore
Aug 11, 2020 - Source code to generate LoD1 CityGML models from city area maps
Unknown - 11 B - MD5: 0cb45f7d0daf15a57beeab3bf35aaa7e
.gitignore
Aug 11, 2020 - Source code to generate LoD1 CityGML models from city area maps
Unknown - 1.2 KB - MD5: 352ee78e140a404c3771fc10a20b88e5
hdb-property-information.tab
Aug 11, 2020 - Source code to generate LoD1 CityGML models from city area maps
Tabular Data - 1.0 MB - 24 Variables, 12036 Observations - UNF:6:zN4RTInDz93o+Dgg2Xk9oA==
HEAD
Aug 11, 2020 - Source code to generate LoD1 CityGML models from city area maps
Plain Text - 32 B - MD5: 73a00957034783b7b5c8294c54cd3e12
HEAD
Aug 11, 2020 - Source code to generate LoD1 CityGML models from city area maps
Plain Text - 188 B - MD5: 2173099add0a43b78f7c53d2d15b0829
HEAD
Aug 11, 2020 - Source code to generate LoD1 CityGML models from city area maps
Plain Text - 23 B - MD5: 4cf2d64e44205fe628ddd534e1151b58
icdar.cpython-36.pyc
Aug 11, 2020 - Source code to generate LoD1 CityGML models from city area maps
Unknown - 19.0 KB - MD5: 5531e7aea50126db9cb42e85d5f88878
icdar.py
Aug 11, 2020 - Source code to generate LoD1 CityGML models from city area maps
Python Source Code - 30.4 KB - MD5: 48567805d4e4e3ded84c0136993b5782
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