Detecting windows in urban environments is an essential task when reconstructing buildings from photographs. Recent work on city wide reconstruction has been focusing on capturing the details on building facades using both images and LIDAR data. However, segmenting and detecting windows in practice remains a manual and tedious task. In this report, we apply techniques used in face detection to ...

This paper proposes an approach for the detection and partition of planar structures in dense 3D point clouds from facades. The aim is the creation of a polygonal model with a considerably lower complexity than the original data set. We perform a robust detection of the dominant facade planes and apply a sweep based scheme in order to detect structures like windows, doors, balconies in those pl...

In this study, a hierarchical method for segmenting buildings in a digital surface model (DSM), which is used in a novel framework for 3D reconstruction, is proposed. Most 3D reconstructions of buildings are model-based. However, the limitations of these methods are overreliance on completeness of the offline-constructed models of buildings, and the completeness is not easily guaranteed since i...

Accurate and realistic 3-dimensional models of urban environments are increasingly important for applications like virtual tourism, city planning, Internet search and many emerging opportunities in the context of “ambient intelligence”. Applications like Bing-Maps or Google Earth are offering virtual models of many major urban areas worldwide. While initially these data sets support visualizati...

The paper discusses the importance of greenery in cities. It considers presence green elements inside a typical urban perimeter block and deliberates about their impact on solar radiation level facades yard. A series computer simulations have been done using six combinations surface reflectance (façade/yard) for configurations. were performed with DIVA, plug-in Rhino Oslo (59.91273, 10.74609). ...