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Oblique photography technology as an excellent method for 3-D city model construction has brought itself to large-scale recognitionand undeniable high social status. Tilt and vertical images with the high overlaps and different visual angles can produce a largenumber of dense matching point clouds data with spectral information. This paper presents a method of buildings reconstructionwith stereo matching dense point clouds from aerial oblique images, which includes segmentation of buildings and reconstruction ofbuilding roofs. We summarize the characteristics of stereo matching point clouds from aerial oblique images and outline theproblems with existing methods. Then we present the method for segmentation of building roofs, which based on colors andgeometrical derivatives such as normal and curvature. Finally, a building reconstruction approach is developed based on thegeometrical relationship. The experiment and analysis show that the methods are effective on building reconstruction with stereomatching point clouds from aerial oblique images

the international archives of the photogrammetry, remote sensing and spatial information sciences/international archives of the photogrammetry, remote sensing and spatial information sciences

Segmentation and Reconstruction of Buildings with Aerial Oblique Photography Point Clouds