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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Fully automatic CityGML-compliant city model derivation on demand(Nanyang Technological University)
Aug 13, 2020
This dataverse hosts the data for the NRF funded project Fully automatic CityGML-compliant city model derivation on demand.
Generation of 3D Building Models from Archived City Area Maps by Fusing Information from Multiple Sources.pdf
Generation of 3D Building Models from Archived City Area Maps by Fusing Information from Multiple Sources.pdf
Aug 12, 2020 - Source code to generate LoD1 CityGML models from city area maps
Adobe PDF - 14.8 MB - MD5: d15f7b1de909fcfa3ab5b6ac8a7f9b2e
This paper proposes a pipeline for the automatic generation of 3D building models for city areas based on information from archived city area maps.
CityGMLGui.py
Aug 11, 2020 - Source code and sample input CityGML models for automatic derivation of lower levels of detail
Python Source Code - 2.3 KB - MD5: 899dff95ff178bd0e56478e96ec8580b
FZK-Haus-LoD1-KIT-IAI-KHH-B36-V1.gml
Aug 11, 2020 - Source code and sample input CityGML models for automatic derivation of lower levels of detail
application/gml+xml - 7.4 KB - MD5: 500ad271f6c72352ecf6e7833ef83095
FZK-Haus-LoD2-KIT-IAI-KHH-B36-V1.gml
Aug 11, 2020 - Source code and sample input CityGML models for automatic derivation of lower levels of detail
application/gml+xml - 16.1 KB - MD5: ca15ea9b8514e423923e513d38733070
FZK-Haus-LoD3-KIT-IAI-KHH-B36-V1.gml
Aug 11, 2020 - Source code and sample input CityGML models for automatic derivation of lower levels of detail
application/gml+xml - 283.4 KB - MD5: 03c4ae9bb804b122e284a848474a3f09
FZK-Haus-LoD4-KIT-IAI-KHH-B36-V1.gml
Aug 11, 2020 - Source code and sample input CityGML models for automatic derivation of lower levels of detail
application/gml+xml - 15.9 MB - MD5: 63c586b21807fa36d4d0cadd710a87c3
gml2to1.py
Aug 11, 2020 - Source code and sample input CityGML models for automatic derivation of lower levels of detail
Python Source Code - 13.4 KB - MD5: f6f9bef2cfafc1877d7f628a90d98486
gml3to2.py
Aug 11, 2020 - Source code and sample input CityGML models for automatic derivation of lower levels of detail
Python Source Code - 6.0 KB - MD5: 54f7b072b07057bcce17d45aaafd9c50
gml4to3.py
Aug 11, 2020 - Source code and sample input CityGML models for automatic derivation of lower levels of detail
Python Source Code - 3.2 KB - MD5: 23753b07590f0bdaffc401df32b03ab8
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