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VISIBLE ROUTES IN 3D DENSE CITY USING REINFORCEMENT LEARNING
3D GIS Visibility Routes Reinforcement learning
2018/11/9
In the last few years, the 3D GIS domain has developed rapidly, and has become increasingly accessible to different disciplines. 3D Spatial analysis of Built-up areas seems to be one of the most chall...
EXTRACTING 3D SEMANTIC INFORMATION FROM VIDEO SURVEILLANCE SYSTEM USING DEEP LEARNING
3-D space Camera calibration Target recognition Target tracking
2018/5/16
At present, intelligent video analysis technology has been widely used in various fields. Object tracking is one of the important part of intelligent video surveillance, but the traditional target tra...
ROOFN3D: DEEP LEARNING TRAINING DATA FOR 3D BUILDING RECONSTRUCTION
3D Database Machine Learning 3D Building Models Classification Segmentation Reconstruction
2018/6/5
Machine learning methods have gained in importance through the latest development of artificial intelligence and computer hardware. Particularly approaches based on deep learning have shown that they ...
3D Modelling of Interior Spaces: Learning the Language of Indoor Architecture
Indoor modelling Point cloud Shape grammar Automation Semantics Building Information Model (BIM)
2014/7/30
3D models of indoor environments are important in many applications, but they usually exist only for newly constructed buildings. Automated approaches to modelling indoor environments from imagery and...