Urban facades regularly contain interesting variations due to allowed deformations of repeated elements (e.g., windows in different open or close positions) posing challenges to state-of-the-art facade analysis algorithms. We propose a semi-automatic framework to recover both repetition patterns of the elements and their individual deformation parameters to produce a factored facade representat...

A solar 3D urban model was developed for the calculation and visualisation of the solar energy potential of buildings, integrating the potential of roofs with that of facades. To assess this potential, a digital surface model (DSM) of the urban region was built from LiDAR data and a solar radiation model based on climatic observations was applied. A shadow algorithm was developed in order to ca...

Semantically-enhanced 3D model reconstruction in urban environments is useful in a variety of applications, such as extracting metric and semantic information about buildings, visualizing the data in a way that outlines important aspects, or urban planning. We present a probabilistic image-based approach to the semantic interpretation of building facades. We are motivated by the 4D Atlanta proj...

Automatic reconstruction of large-scale outdoor objects like house facades is an important component of mixedreality systems that model and visualise real world at different level of detail. The authors are involved in a project that utilises a car-mounted LIDAR to acquire a sequence 3D point clouds representing facades in a street. No GPS or IMU is used. Hundreds of point clouds need to be aut...

The paper describes an approach for the quality dependent reconstruction of building facades using 3D point clouds from mobile terrestrial laser scanning and coarse building models. Due to changing viewing conditions such measurements frequently suffer from different point densities at the respective building facades. In order to support the automatic generation of facade structure in regions w...

Frequently, algorithms for 3D facade reconstruction extract high resolution building geometry like windows, doors and protrusions from terrestrial LiDAR and image data. However, such a bottom-up modelling of facade structures is only feasible if the observed data meets considerable requirements on the amount of detail and coverage. For this reason, within our work, the explicit reconstruction o...

Current Internet-inspired mapping data are in the form of street maps, orthophotos, 3D models or street-side images and serve to support mostly search and navigation. Yet the only mapping data that currently can really be searched are the street maps via their addresses and coordinates. The orthophotos, 3D models and street-side images represent predominantly “eye candy” with little added value...