Host: Japan Society for Fuzzy Theory and Intelligent Informatics
A goal of this study is to construct 3D rough map form streetscape images automatically. For the sake of buildings reconstruction, buildings areas in streetscape are extracted. Typically, streetscape images contain the sky, road, street trees, buildings and so on. These regions other than buildings cause some errors in the following stereo matching process. Thus, a preprocessing to eliminate the areas other than buildings is required. The preprocessing is achieved by the newly proposed segmentation algorithm which integrates clustering with color information and wavelet analysis. The effectiveness of the proposed method was verified by experiments using actual streetscape images.
