Figure 1: A few façade modeling examples from the two sides of a street with 614 captured images: some input images in the bottom row, the recovered model rendered in the middle row, and three zoomed sections of the recovered model rendered in the top row. We propose in this paper a semi-automatic image-based approach to façade modeling that uses images captured along streets and relies on structure from motion to recover camera positions and point clouds automatically as the initial stage for modeling. We start by considering a building façade as a flat rectangular plane or a developable surface with an associated texture image composited from the multiple visible images. A façade 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 façade is augmented with a depth optimized using the 3D points cloud. Our system also allows for an easy user feedback in the 2D image space for the proposed decomposition and augmentation. Finally, our approach is demonstrated on a large number of façades from a variety of street-side images.
From a sequence of street view images, Xiao et al. REF developed a semi-automatic image-based approach to reconstruct 3D façade models.
Image-based façade modeling
SIGGRAPH Asia '08
Computer Science