Examples for Interaction in an Automated Modelling System

Some more examples of how the interaction is used can be seen here:


Example 1: Detection problem is unknown

Even if the detection problem is not given, the interaction system can find a previously undetected building, just by giving the information that for sure there is a building in the area.



Example 2: Detection of a missing part of an L-shaped building

Another example of a detection problem would be that a part of an L- or T-shaped building is not detected. After the problem is specified, this can be corrected by clicking on the roof of the missing part.



Example 3: Correction of first guess by selecting extracted feature

There are two ways of correcting a hypothesis generated by the initial step (see also Corrective Interaction): here the second alternative is presented: one can choose to extract edges and corners and associate them to a part of the building model. In this example, a roof-side of the building is specified by an edge extracted in the image. Then this edge is added to the current hypothesis.

Example 4: Correction of an hypothesis generated by MABS

The last example shows that the manual feature extraction and the following fitting and verification steps can also be applied to buildings that are automatically detected, but partially wrong.