user interface aspects illustrated on the implementation
of VR Modeler. As already mentioned the input images
are captured with a digital consumer camera using
short baselines, thus a digital video camera with a reasonably
high resolution will work as well. The extracted
3D primitives (3D points, 3D lines) and 3D surfaces acquired
with current state of the art techniques will be insufficient
in terms of interpretation, segmentation and visualization
aspects. To make this aspects more concrete
we will outline various problems of modeling 3D scenes
in more detail. Consequently in this paper we focus on
three aspects:
The segmentation and interpretation of a scene to
obtain a consistent 3D model from image sequences
How the modeling process is affected by the visualization
aspect
How the user interface can make the process of
modeling more convenient and accurate.
Figure 2 shows the Herz-Jesu church in Graz represented
as a 3D point cloud. Obviously it is very difficult to obtain
fully automatic a correct segmentation and interpretation
of the scene from this model representation. In fact
the segmentation and interpretation task includes the localization
and classification of facades, windows, doors
or any other relevant scene objects. Therefore in our
opinion the better choice to acquire 3D models is to combine
3D surface representations with feature based modeling