Recognizing Buildings in Urban Scene of Distant View

This paper presents an approach for recognizing urban scene in distant views. Presviously, we have developed a method using dynamic programming technique to recognize key buildings appearing as silhoutte in a distant view. Based on those locations of buildings in silhonette, this paper developes a method to find locations of other buildings which do not appear as silhoutte in the image by using 2D template matching. We then describe some applications of the approach such as incorporating building texture information to 3D building models and estimating the height of a building. We also show its effectiveness in experiments on real images.