3D Modeling of Street Buildings from Panoramic Video Sequences and Google Map Image

A semi-automatic image-based framework for modeling of street buildings is proposed in this paper. Two types of image sources are used, one is a sequence of ground-level spherical panoramic images captured by panoramic video recorder, and the other is an aerial image of the desired area obtained from Google Map. The advantages of our approach are first that the camera trajectory recovery result is more accurate and stable due to that the spherical panoramic images are used if compared to multiview planar images. Second, since each face texture of a building is extracted from a single panoramic image, there is no need to deal with color blending problem while textures overlapped.

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