Toward Automated Façades Generation from Oblique Aerial Images

In this paper we introduce an approach for automatic recognition and description of building facades from oblique aerial images. This approach does not use street-side images, like Google StreetView, but aerial images to derive photorealistic city models. The paper starts with a short summary of the state of the art in the domain of image-based modeling, automated recognition and description of facades from (oblique aerial) images. Then the context of the research project is described including the hardware setup and and application requirements for complex facade analysis. Afterwards a novel approach of a grid graph model with traversers is suggested to solve the problem of facade recognition. The framework that implements the approach in a flexible manner is introduced. Finally, the paper ends with a conclusion and an outlook to future works.