Facade Detail from Incomplete Range Data

In recent years, the demand for highly detailed building models has clearly risen. Most of the details, which characterize a building, come from its façade. It is obvious that such façade detail is ideally acquired from ground-based sensors. For any street-level data acquisition system, a common problem arises: that of occlusions and hence incomplete data. In the past we have shown how multiimage coverage can overcome occlusions in image based façade recording. In this paper, we demonstrate new approaches on façade detail from range data in the case of incomplete data. The approach builds on our development of LASERMAPs, a simple and efficient way to use street-level LiDAR data to enhance existing prismatic building models.