J. Xiao, T. Fang, P. Tan, Z. Peng, Eyal Ofek, and Long Quan
We propose in this paper a semi-automatic image-based approach that uses images captured along the streets, and relies on structure from motion to automatically recover the camera positions and point clouds as the initial stage for the modeling. We start a building facade as a flat rectangular plane or a developable surface, and the texture image of the flat facade is composited from the multiple visible images with handling of occluding objects. A facade is then decomposed and structured into a Directed Acyclic Graph of rectilinear elementary patches. The decomposition is carried out top-down by a recursive subdivision, and followed by a bottom-up merging with the detection of the architectural bilateral symmetry and repetitive patterns. Each subdivided patch of the flat facade is augmented with the depth that is optimized from the 3D points. Our system also allows the user to easily provide feedbacks in the 2D image space for the proposed decomposition and augmentation. Finally, our approach is demonstrated on a large number of facades from a variety of street-side images.
|Published in||ACM SIGGRAPH Asia 2008|
|Publisher||ACM SIGGRAPH Asia|